The Hartford

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Hartford is searching for a Staff Software Engineer - Duck Creek within the Personal Lines organization that will have end-to-end technical accountabilities in application development for personal lines portfolio in a highly distributed, integrated, multi-platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for the business as well as Fundamentally treats IT Operations as Software Engineering and adopted Scrum development methodology and core agile engineering practices such as continuous integration and test-driven development.

Responsibilities:

• Technical Leadership: Provide technical leadership, enforcing the vision of the application architecture and integrity of the application environment in alliance with architects and other tech leads.
• Hands-On Coding: Lead teams while also performing hands-on coding to stay connected with the technical aspects of the projects.
• Code Quality: Conducting code reviews to maintain high standards in coding and reliability.
• Mentorship: Guiding junior engineers to enhance team capabilities and foster growth,

• Communicate Effectively: Proactively communicate risks, issues, and mitigations to stakeholders.

• Embrace Future Technologies: Lead innovation efforts, leveraging modern technologies to solve customer problems. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus.

Qualifications:

• Experience: 5+ years in application software development.
• Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React, XML, XSLT, SQL), and cloud platforms (preferably AWS). Must have a strong working experience as Designer/Developer of REST/SOAP API services, both as consumer & provider.
• DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube).
• Tech Savvy: Passionate about staying current with technology trends, experimenting with modern technologies, and participating in internal tech communities.
• Agile Practitioner: Experience with agile or scrum methodologies.
• Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills.
• Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek)
• Education: Bachelor’s degree in computer science or related field preferred.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

We are seeking a highly skilled and experienced Amazon Connect Tech Lead to join our dynamic team. As a Tech Lead, you will be responsible for leading the design, implementation, and optimization of cloud-based contact center solutions using Amazon Connect, with a focus on the agent’s desktop experience. You will work closely with cross-functional teams to deliver scalable and reliable solutions that enhance customer experience and drive business outcomes. This role focuses on delivering low-latency screen pops and Customer 360 context by leveraging Amazon Connect Customer Profiles, native workspace extensibility, and real-time API integrations, while meeting enterprise security, performance, and resiliency standards.

Key Responsibilities:
•    Lead the design and development of native Agent Workspace desktop views and third party (3P) applications
•    Implement Customer Profiles–driven screen pops and contextual agent views 
•    Oversee the integration of real-time enterprise/LOB APIs to supplement profile data, and other AWS services such as Amazon Lex, AWS Lambda, Amazon S3, and Amazon Kinesis.
•    Optimize UI performance for fast, predictable agent experiences
•    Enforce secure, compliant handling of customer and PII data
•    Provide technical guidance and mentorship to team members.
•    Ensure the scalability, reliability, and performance of contact center solutions.
•    Collaborate with stakeholders, including senior leadership, to gather requirements and deliver solutions.
•    Conduct code reviews and ensure adherence to best practices and coding standards.
•    Troubleshoot and resolve technical issues related to AWS services.
•    Implement security best practices to protect sensitive data.
•    Stay updated with the latest AWS technologies and industry trends.

Qualifications:
•    Bachelor's degree in Computer Science, Information Technology, or a related field.
•    8+ years of experience in software development and cloud computing.
•    Extensive experience with Amazon Web Services (AWS), particularly Amazon Connect.
•    Strong knowledge of AWS services such as AWS Lambda, API Gateway, DynamoDB, EventBridge, CloudWatch, SQS, KMS, and S3. 
•    Strong familiarity with Amazon Connect contact flows, attributes, queues, and routing
•    Experience supporting Step by Step Guides or native workspace features
•    Proficient in Infrastructure as Code (IaC) such as Terraform
•    Proven experience in leading technical projects and teams.
•    Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
•    Strong communication and collaboration skills.
•    AWS certification is required.

Skills:
•    Hands-on experience building inside the default Amazon Connect Agent Workspace (not custom CCPs)
•    Strong knowledge of Amazon Connect Streams API (agent/contact events, attributes, lifecycle)
•    Practical experience with Amazon Connect Customer Profiles in agent experiences
•    Proficiency integrating real-time REST APIs into agent-facing UIs
•    Experience designing event-driven, low-latency web applications
•    Understanding of Amazon Connect security profiles and PII-aware UI design
•    Proficiency in programming languages such as Node.js  (preferably Node.js or Python, Java)
•    Deep understanding of cloud architecture and best practices.
•    Experience with CI/CD pipelines and DevOps practices.
•    Strong analytical and organizational skills.
•    Ability to work in a fast-paced, dynamic environment.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Director, Portfolio Lead - BA06DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

This role helps align strategy and execution by applying Lean and systems thinking approaches to strategy and investment funding, Agile portfolio operations, and governance. Supports the prioritization of work and financial accountability for the products and solutions in a portfolio. Coordinate, sustain, and improve value streams. Plan and monitor IT budgets to ensure alignment with strategic initiatives and or objectives. Forecast future budget needs, measure portfolio performance, and coordinate required compliance activities.

Financial Accountabilities Financial Operations: 
-Primary contact for department financials, including outlook locks, op planning, monthly reserving, capitalization, financial reporting supporting the CIO and business as needed, and various related items e.g. expense approver. 
-Vendor management, including contracts, Purchase Orders, MBM, invoice approvals. 
-Champion for finance evolution to Agile funding value streams, product vs. project mindset, Agile estimation Responsible for annual portfolio spend of 20M plus.

Workforce Accountabilities: 

-Develop and maintain a workforce strategy, inclusive of vendor partners, such that the ratios of employee and or vendor, onshore and or offshore, HIG offices, etc. are considered to achieve an optimum balance. 
-Data capture, metrics, measurement, ratios, projections around work force. Understanding current and target team compositions, and path forward via hiring and other levers. 
-When needed, brings IT leads together to ensure consistency in various areas i.e. role clarity, job titles.
-Coordination of required or needed training, continuous learning activities Portfolio Accountabilities Owns the Lean Portfolio Management Function Participate in the identification and definition of development value streams across the portfolio and alignment to CIO areas technology roadmap. 
-Portfolio Kanban partner closely with business owners and or stakeholders, ensure phase gate deliverables are complete Portfolio Kanban partner with business to establish the investment prioritization process is transparent and collaborative.
-Establish portfolio flow to visualize and limit Work in Process WIP, reduce batch sizes of work, and control the length of longer-term development queues. 
-Establish and maintain and overall CIO portfolio view. 
-Ensure the investment prioritization process is transparent and collaborative. 
-Point for portfolio health reviews, scorecards, MOR meetings. Oversee portfolio performance and coordinate the reporting of key portfolio metrics e.g., employee engagement, customer satisfaction, productivity, agility, time to market, quality, partner health Review business strategies and initiatives on a periodic basis and consider a long-term planning horizon. 
-Mature a culture of continuous improvement and innovation, adopting OwnIT, Agile and DevOps mindsets, leveraging Harvest, enabling high performance. Coordinate a continuous approach to ensure compliance with audit and regulatory requirements and nondiscretionary initiatives. Rally Support and data management.
-Strong leadership and influencing skills at the senior management level. Strong financial acumen and knowledge of IT financial management practices. 
-Proven ability to develop talent within the team through coaching, opportunities and team growth by fostering an environment that is a destination for talent. 
-Proven ability to create a high performing team that has a culture of continuous learning, collaboration, and is focused on business value and outcomes. 
-Proven ability to build commitment and empower others, communicate with clarity, courage and timeliness. 
-Effective Communication Skills Written, Verbal, Presentation. Strong understanding of Agile and Scaled Agile. 
-Strong knowledge of software development processes and procedures to understand team needs includes fundamentals of iterative and incremental development.

-Five to Seven years of portfolio management experience or equivalent leadership experience. 
-Five years of industry experience preferred. 
Experience with Agile methodology and frameworks like Scrum, Kanban, etc. SAFe LPM certification a plus. 
-Depends on organization, could require management of a small team.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$128,000 - $192,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Software Engineer - IE08CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is searching for a Software Engineer within the Personal Lines organization who will contribute to application development for the personal lines portfolio in a highly distributed, integrated, multi‑platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for business. This is a software development role using latest SaaS technologies and a highly scalable platform. The team has adopted Scaled Agile development Framework (SAFe) and core DevOps engineering practices such as continuous integration, continuous deployment and behavior driven development in the cloud. This position is full-time and based in our Hartford OR Illinois OR Charlotte office.

Responsibilities:

• Hands-On Coding: Perform hands-on coding, ensuring high standards of code quality, reliability, and adherence to application architecture standards
• Communicate Effectively: Communicate effectively within the sprint team and across teams on proposed designs and solutions, while proactively identifying and communicating risks, mitigations, and technical issues in a collaborative manner.
• Collaborate: Collaboratively work to support technical deliverables throughout the software development lifecycle, including contributing to estimates, technical designs, build, and implementation working with Tech Leads and other developers.
• SAFe: Work on scaled agile development teams to understand business needs and transform complex requirements into innovative solutions.
• Embrace Future Technologies: Independently pick up and own innovation initiatives, applying modern technologies to solve customer problems. Leverage GenAI (Artificial Intelligence) to implement solutions that improve speed and productivity.

Minimum Qualification:

• 3+ years of hands-on software development experience using any modern programming language such as Java, C#, C++, Python or JavaScript.
• Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React), XML technologies knowledge (SAX, DOM and XSLT), SQL (SQL Server) and cloud platforms (preferably AWS). Must have strong experience as Developer of REST/SOAP API services.
• DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube).
• Proven experience working effectively with cross-functional teams independently.
• Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills.

Preferred Qualification:

• Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek,) is a plus.
• Tech Savvy: Passionate about staying current with technological trends, experimenting with modern technologies, and participating in internal tech communities.
• Agile Practitioner: Experience with agile or scrum methodologies (Scrum, Kanban, XP, etc.)
• Education: Bachelor’s degree in computer science or related field preferred.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$96,800 - $145,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Software Engineer - IE08CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Enterprise Billing and Audit organization seeks a highly motivated Senior Software Engineer with substantial hands-on experience in designing, developing, and supporting full-stack applications deployed on cloud platforms such as AWS or GCP.

The ideal candidate will be an integral part of our release train, collaborating closely with architects and development teams to enhance and maintain billing applications on the cloud and develop new, cloud-native solutions that align with Hartford’s architectural standards, business requirements, and technology roadmap.

This is a technical role with the primary objective to enable customer experience and speed to market while providing flexibility and scalability to execute on the broader Enterprise Billing and Audit Strategic Roadmap. Successful candidates will demonstrate experience in delivering quality technical solutions that are stable, performant, and secure. Solid technical acumen, excellent leadership skills, and strong collaboration abilities are highly valued.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities

• Design, develop, and maintain scalable and secure APIs.
• Build and enhance Angular components and other front-end technologies.
• Conduct code reviews and maintain quality standards for API and UI modules across multiple scrum teams within their Agile Release Train (ART).
• Adhere to architectural standards and maintain application integrity in collaboration with architects and technical leads.
• Design solutions with a clear understanding of technology trade-offs, balancing risks and rewards to deliver optimal customer value.
• Implement cloud-native architecture patterns that are scalable, reusable, secure, and cost-efficient, including multi-region support, fault tolerance, and data replication strategies.
• Utilize AWS services for application development and deployment, including (but not limited to): Lambda, CloudWatch, ECS, EKS, RDS, S3, IAM, SNS, SQS, EventBridge, AWS Batch, AWS Directory, and Service Catalog.
• Apply DevOps practices and leverage CI/CD tools for continuous integration and delivery.
• Communicating risks, mitigations, and business impacts clearly and professionally, both verbally and in writing.
• Present innovative ideas to leadership and identify opportunities for improvement.
• Serve as the technical subject matter expert for billing applications and integration components.
• Share knowledge and mentor team members (including sourcing partners) on development guidelines and best practices.
• Demonstrate strong attention to detail and effectively manage multiple priorities in a fast-paced environment.
• Take ownership and drive innovation to leverage technology for solving customer problems.
• Oversee development teams by removing technical blockers and guiding architecture and design.
• Maintain regular contact with other TLs for efficient progress across development streams.
• Coordinate with other projects to support parallel development and reduce code or environment conflicts.

Required Skills & Qualifications

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Education:

• Bachelor’s degree in computer science, Mathematics, or any Engineering discipline.

Certifications:

• Active Associate-level certification in AWS or Google Cloud Platform (GCP).

Technical Experience:

• 3+ years of hands-on experience in application software development, including AWS resources, APIs, and UI components.
• 4+ years of experience with Java and J2EE technologies (Java Web Services, JMS, XML, JSON, JDBC).
• Expertise in creating SOAP and RESTful Web Services using Java Spring Boot.
• Understanding of Batch processing and Message Queues (MQ) preferred.
• Experience with relational databases such as Oracle.
• 3+ years of experience in systems design, continuous integration, and DevOps methodologies.
• Familiarity with front-end technologies (e.g., Angular) is a plus.
• Strong understanding of Microservices architecture, Swagger, and API Connect (APIC).
• Hands-on experience with version control and CI/CD tools, such as:
• GitHub, Jenkins, Docker, uDeploy, Rally, Checkmarx
• OR AWS equivalents: CodePipeline, CodeBuild, CodeDeploy, CodeStar.
• Must have experience with AWS services (Lambda, ECS, EKS, RDS, S3, IAM, SNS, SQS, EventBridge, etc.).
• Familiarity with Agile methodologies and experience in Agile or SAFe environments.

Productivity & Innovation:

• Ability to leverage AI tools and Copilot to improve productivity in day-to-day tasks, including development, debugging, documentation, and automation workflows.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills, with ability to influence leadership and collaborate across teams.
• Awareness of full software development lifecycle (SDLC), including source code management, code quality, and testing practices.
• Demonstrated independence, self-motivation, good judgment, and active listening skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills

• Hands-on experience with API development, Angular, and AWS resources such as Lambda, CloudWatch, ECS, RDS, S3, IAM, SNS, SQS, and Service Catalog.
• Strong technical knowledge of AWS application development and data integration strategies.
• Practical experience in creating Angular components for front-end development.
• Solid understanding of relational databases, particularly Oracle.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$96,000 - $144,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr. Consultant, Asset Owner - GF07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

You are…

… a motivated problem solver ready to pursue meaningful work.  You strive to make an impact every day not only at work, but at home and in the community too.  Congratulations: You’ve landed in the right place!

Emerging Technology & Innovation is dedicated to data-driven innovation at The Hartford.  The team focuses on enhancing the value of our insurance portfolio by evaluating new, cutting-edge technologies, methods, and insuretech products; prototyping AI models and uses; and supporting business partners in leveraging AI to drive process and product improvements.

The team seeks an energetic and passionate Asset Owner to drive and communicate the ideation, design, and demonstration of solutions modernizing and transforming our operations and business. This position requires exposure to statistical or probabilistic modeling, data transformation and visualization, and will offer career-accelerating opportunities to refine skills and domain expertise in both the business and the craft of data science.

In this role, you will support a team working in a fast-paced, open-ended environment with cutting edge technologies in deep learning and generative AI. You’ll help define and influence how our company's data scientists and business teams leverage data and machine learning to improve our processes and products.

This person will collaborate with senior leaders, business partners and data science teams from across the enterprise to support and influence further adoption of AI at The Hartford. Success will depend on your ability to break down and solve the problems of business and technical stakeholders, quickly delivering valuable prototypes and recommendations.

This role will have a Hybrid work schedule, with the expectation of working in an office (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Organizational Leadership:

• Demonstrated leadership abilities, an innovative mindset and a drive to push transformation by proactively discovering opportunities to apply AI
• Able to motivate and push for innovation within the team while fostering a positive team culture.

Strategy and Planning & Financial Acumen:

• Strategic thinking and problem-solving skills around delivering impactful data science solutions for business, advancing innovation and creating competitive advantage leveraging AI.
• Ability to articulate vision, strategy, and develop tactical roadmaps.
• Experience developing business cases with a cost benefit analysis/ROI.

Communication:

• Communication skills and the ability to articulate value and methods of data science solutions to both non-technical and technical audiences.
• Negotiation and influencing skills.

Stakeholder Management & Cross-functional Collaboration:

• Ability to understand the customer’s needs and negotiate scope of projects across competing priorities and agendas.
• Resilience and the ability to manage ambiguity and change.

Project Management & Prioritization:

• Experience managing priorities on multiple projects based on changing demands/needs.

• Track, communicate and update progress with stakeholders.

• Excellent project management skills with a proven track record on delivering at speed and scale and within budget.

Product Management:

• Gather requirements and prioritize product features based on multiple stakeholder needs. Plan and design capabilities and features in partnership with technical teammates.

Minimum Experience:

• 4+ years of experience in project or product management, preferably in Data Science/Machine Learning

• General understanding of statistics, analytic project lifecycle, and data science concepts

• Experience supporting development of AI, machine learning, or technical products
• Experience translating complex technical topics into business solutions and strategies
• Experience communicating and building relationships across a broad range of technical and non-technical audiences, including senior leaders
• Experience leveraging Microsoft Office tools to develop compelling visuals articulating complex analytical topics
• Experience with Agile and Scrum
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Preferred Qualifications:

• Insurance business domain knowledge

• Experience with supporting project execution and driving change to core business processes through the innovative use of quantitative techniques

• Experience in supporting artificial intelligence portfolios is strongly preferred

• PMP and/or Product Owner Certifications are a plus

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$111,200 - $166,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Mgr Business Intelligence - GC07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

About The Hartford

The Hartford is a leader in property and casualty insurance, group benefits, and mutual funds. We are committed to delivering exceptional value to our customers, agents, and employees through innovation, integrity, and operational excellence.

The Hartford's Employee Benefits division is seeking a Business Intelligence Manager (T7) to lead the strategy, delivery, and modernization of our BI reporting ecosystem. This role blends hands-on data engineering expertise with people leadership, overseeing a team of onshore and offshore resources while driving the transformation of our reporting platforms. The ideal candidate is a technically skilled, strategically minded leader who thrives in a fast-paced, regulated environment and is passionate about using data to drive business outcomes.

Key Responsibilities

BI Platform Modernization & Roadmap Management

• Lead the rationalization and replatforming of existing Business Intelligence reports from SAP Business Objects to SAP BI 2027 and/or ThoughtSpot (for Actuarial-specific reporting).
• Establish and manage a comprehensive migration roadmap inclusive of leadership checkpoints, stakeholder readouts, and progress reporting to senior management.
• Evaluate and recommend future BI delivery capabilities including Generative AI, Agentic AI solutions, self-service analytics, and delivery efficiencies that minimize rework and exceed customer expectations.

Team Leadership & People Management

• Directly manage a blended team of Hartford employees and Cognizant contractors, including 1 Hartford onshore employee, 1 Cognizant onshore resource, and 8 Cognizant offshore contractors.
• Provide coaching, mentorship, and performance management across the team, fostering a culture of accountability, collaboration, and continuous improvement.
• Model The Hartford's expected behaviors and leadership competencies; provide leadership perspective and strategic counsel to peers across the organization.

Investment Value Stream Participation

• Actively participate in and provide leadership expertise and guidance within Employee Benefits investment value streams, including Team Thunderbolts, Team Membrino, Team Cafe, and Team Ignite.
• Collaborate with value stream leads to align BI priorities with broader divisional and enterprise objectives.

Ad Hoc Analytics & Customer Support

• Field ad hoc data and analytics requests from field partners, customers, and leaders on a wide range of Employee Benefits insurance topics.
• Write and execute SQL queries against Snowflake, Oracle, and other data sources to investigate questions, produce datasets, and deliver timely answers.
• Leverage ThoughtSpot and other BI tools to provide rapid, accurate insights while meeting strict deadlines.

Regulatory, Compliance & Statutory Reporting

• Own and manage recurring compliance and statutory state reporting obligations, ensuring accuracy, timeliness, and adherence to all regulatory requirements.
• Manage industry survey data submissions and responses.
• Oversee and rationalize managed file transfer (MFT) data transmissions to external partners and vendors, ensuring proper data governance and protection against data breaches.

Vendor & Financial Management

• Review monthly contractor invoices to verify that billed hours are accurate and aligned with actuals, in coordination with the director.
• Partner with vendor management and procurement as needed to ensure contract compliance and cost efficiency.

Qualifications

• 3+ years of experience in Business Intelligence, data engineering, analytics, or a related discipline, preferably within the Employee Benefits insurance domain.
• Strong SQL proficiency with hands-on experience querying and manipulating data in enterprise database environments.
• Demonstrated experience with BI and analytics platforms, specifically SAP Business Objects and ThoughtSpot.
• Working knowledge of Snowflake and Oracle database environments.
• Proficiency in Microsoft Excel and familiarity with Microsoft Copilot.
• Proven ability to manage multiple competing priorities in a deadline-driven, regulated environment.
• Excellent problem-solving skills with the ability to analyze complex data sets and translate findings into actionable insights.
• Strong written and verbal communication skills with the ability to present to stakeholders at all levels.
• Experience managing or leading teams, including blended onshore/offshore and employee/contractor models.
• Direct experience in Employee Benefits insurance (group life, disability, absence management, or related lines of business) preferred.
• Experience leading BI platform migrations or large-scale reporting transformation programs.
• Familiarity with Agile delivery methodologies and participation in value streams or product teams.
• Exposure to Generative AI, Agentic AI, or advanced analytics concepts as they apply to BI delivery.
• Business Intelligence certifications (e.g., SAP, ThoughtSpot, Snowflake, or equivalent).
• This role will have a Hybrid work schedule, with the expectation of working in the Hartford, CT office 3 days a week (Tuesday through Thursday).

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$114,400 - $171,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Corporate IT organization is seeking a highly motivated, detail‑oriented, and results‑driven Staff Software Engineer (Hybrid) to work on an Agile team supporting applications across Human Resources, Law, and Shared Services. This role builds and supports both investment and maintenance work for a portfolio of applications that enable employee lifecycle processes, legal operations, compliance, and shared enterprise services.

The Staff Software Engineer has end‑to‑end responsibility for designing, building, and supporting solutions across multiple platforms and technologies. The primary focus of the role is AWS‑based data integration and transformation, with an emphasis on AWS Glue, along with Tableau and data experience. The role also requires moderate to strong experience with AI or GenAI concepts, integrations, or applied use cases as these capabilities are expanded across HR and Law platforms. In addition, the role requires working knowledge of .NET applications (C# .NET) to support and modernize existing applications within the portfolio.

This position works closely with product owners, business stakeholders, architects, and partner teams, and is accountable for delivering well‑architected, stable, performant, and secure solutions while continuing to modernize platforms through cloud, automation, and data integration initiatives. The role has a hybrid work arrangement, with the expectation of working in the office three days per week (Tuesday through Thursday). Candidates must be authorized to work in the U.S. without company sponsorship.

Responsibilities

• Responsible for end‑to‑end solution delivery (design, build, test, and support) involving multiple platforms and business solutions supporting HR, Law, and Shared Services.
• Design, build, and maintain AWS‑based data integrations and transformations, with a focus on AWS Glue and related services.
• Design and implement robust API‑based integrations and cloud‑native services, ensuring scalability, security, and reliability across enterprise platforms.
• Build and support application components and integrations that include .NET (C# .NET) solutions as part of the broader application portfolio.
• Contribute significant input into application and integration architecture, helping safeguard the integrity of the application environment in partnership with architects and other tech leads.
• Function as a technical subject matter expert for supported applications, requiring depth and breadth of knowledge across technologies, integrations, interfaces, and business domains.
• Support analytics and reporting needs, including datasets used for dashboards and Tableau‑based reporting where applicable.
• Build and implement CI/CD capabilities aligned with enterprise DevOps practices.
• Follow and promote software engineering best practices including source control, branching strategies, issue tracking, code quality rules, automated testing, and documentation.
• Troubleshoot and resolve application issues, including performance concerns, and communicate risks and mitigation plans clearly and concisely.
• Collaborate closely with team members and partner teams to plan work, manage priorities, and drive team outcomes.
• Provide mentorship and technical leadership, influencing engineering standards, practices, and technical direction beyond the immediate team, including presenting and communicating complex technical concepts to broader audiences.

Qualifications

• Five or more years of experience designing, developing, and supporting software applications with end‑to‑end accountability.
• Working knowledge of .NET application development (C# .NET) and supporting web applications and integrations in a production environment.
• Strong experience designing and implementing API integrations and service‑based architectures in cloud environments.
• Hands‑on experience with cloud platforms, preferably AWS, with a strong cloud software engineering mindset.
• Solid understanding of relational databases and SQL.
• Experience designing and supporting APIs and service‑based architectures.
• Experience with CI/CD pipelines, DevOps automation, and software quality practices.
• Familiarity with Agile/Scrum delivery methodologies.
• Moderate to strong experience with AI or GenAI concepts, integrations, or applied engineering use cases.
• Strong analytical, problem‑solving, communication, and collaboration skills.
• Ability to work independently while being an effective team player in a fast‑paced environment.

Preferred Qualifications

• Experience with AWS Glue or similar ETL or data transformation tools.
• Tableau or data analytics experience, including support of datasets and dashboards.
• Exposure to AI or GenAI concepts, integrations, or applied use cases.
• Experience supporting applications in regulated environments with audit or compliance considerations.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Data Scientist - GD07AE

Data Scientist - GD08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.          

Senior Data Scientist – AI Horizontal Products

Step into the future with The Hartford as a Senior Data Scientist, where Generative AI is a core strategic capability—it’s central to our enterprise strategy. Join a team that’s pioneering AI‑driven products across underwriting, claims, and customer service, transforming how we operate and make decisions at scale.

As part of our Horizontal AI Products Team, you will investigate emerging models, architectures, and techniques; design rigorous evaluation frameworks; and prototype new products that inform how GenAI is operationalized across the organization.  This position is ideal for someone who is intellectually curious, technically deep, and motivated by advancing the state of practice in enterprise Generative AI.

This position offers a Hybrid or Remote work arrangement. Candidates living near one of our locations are expected to work in the office three days per week (Tuesday–Thursday).

Research & Technical Responsibilities

• Conduct applied research in Generative AI, exploring emerging foundation models, architectures, and inference strategies to address enterprise AI use cases.
• Lead investigation and experimentation across areas such as:
• Agent‑based and multi‑step reasoning workflows
• Retrieval‑augmented generation (RAG)
• Long‑context modeling and information synthesis
• Prompting strategies and controllability of generative outputs
• Design and execute rigorous experimental frameworks to evaluate model quality, robustness, latency, cost, and reliability using:
• Automated metrics
• Human‑in‑the‑loop feedback
• LLM‑as‑a‑judge and comparative evaluation methodologies
• Create benchmarks and build reproducible pipelines to compare vendor models, open‑source alternatives, and internal approaches.
• Rapidly prototype research ideas using modern GenAI tooling such as:
• Vertex AI / Google Agent Development Kit
• LangChain / LangGraph
• RAG frameworks
• Hugging Face ecosystems
• OpenAI APIs
• Translate research findings into deployable GenAI capabilities, working closely with engineering and MLOps teams to ensure scalability, observability, and responsible AI practices.
• Contribute to the enterprise GenAI roadmap by identifying gaps, risks, and opportunities informed by ongoing research and industry trends.
• Partner with stakeholders across Data Science, Technology, and Business teams to align research directions with real‑world operational challenges.

Qualifications

• Masters and 5+ years of industry experience OR PhD and 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• Strong proficiency in Python and modern AI/ML frameworks
• Demonstrated experience designing experiments, running evaluations, and drawing conclusions from empirical results.
• Hands‑on experience with Generative AI frameworks and platforms, including Vertex AI, ADK, LangChain/LangGraph, RAG pipelines, Hugging Face, and OpenAI APIs.
• Deep understanding of:
• Agent workflows and tool‑augmented LLMs
• Prompt engineering and model controllability
• Retrieval‑augmented generation (RAG) design trade‑offs
• Generative model evaluation and benchmarking techniques
• Experience collaborating with engineering and MLOps teams to transition prototypes into production systems.
• Strong written and verbal communication skills, including the ability to explain research findings, limitations, and trade‑offs to both technical and non‑technical audiences.
• Authorization to work in the United States without company sponsorship. STEM OPT I‑983 Training Plan endorsement is not supported for this role.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $166,080

The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Software Engineering - IE07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Enterprise Cyber Focal Office - Manager of Software Engineering is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI‑driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience.

Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise, cloud-native architecture, and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise.

This role will have aHybrid work schedule,with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities

Technical Leadership & Solution Delivery

• Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high‑impact technical solutions.
• Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation.
• Lead end-to-end solution architecture, including design reviews, implementation, and operational readiness for cyber platforms and tooling.
• Apply full‑stack application development expertise to build secure, resilient, and performant cyber applications and services.

Cloud & AI Engineering

• Architect and deliver solutions using AWS cloud services, following cloud-native, well‑architected, and security principles.
• Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support).
• Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready.

Application Security

• Demonstrated hands‑on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale.
• Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise‑wide.
• Experienced in Leveraging GitHub Copilot as a hands‑on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards.

Application Vulnerability Management

• Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows.
• Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques.
• Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines.

Engineering Partnership & Best Practices

• Act as a trusted partner to Security, Platform, Reliability and Software Engineers, enabling secure, reliable, and resilient application delivery.
• Define, promote, and enforce application security best practices, including secure coding, dependency management, secrets handling, logging, and monitoring.
• Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate.

Team Leadership & Delivery Excellence

• Provide technical leadership to an offshore engineering team, including design guidance, code reviews, mentoring, and delivery oversight.
• Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards.
• Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities.

Required Experience & Qualifications

• 7-10+ years of experience in software engineering, platform engineering, or cyber-focused application development, with time in technical leadership roles.
• Strong full‑stack application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern UI frameworks and languages such as HTML, CSS, JavaScript/TypeScript, and frameworks like React or Angular, along with strong back‑end experience using languages and frameworks such as Java, C#, Python, or Node.js.
• The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud‑native development on platforms such as Azure or AWS. A full‑stack tech lead is also adept in CI/CD practices, infrastructure‑as‑code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands‑on experience integrating security, logging, monitoring, and performance tools.
• Strong problem‑solving skills, system‑level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications.
• Deep hands-on experience with AWS cloud architecture and related services. Demonstrated hands-on AI/ML implementation experience, with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent).
• Proven experience designing and delivering enterprise-scale cyber, security or application platforms.
• Experience leading and mentoring distributed/offshore technical teams.
• Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations.
• Experience across logging and monitoring, edge and application security, AI‑assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms, ensuring scalable, secure, and repeatable engineering practices.
• Knowledge of application security, vulnerability management, and secure SDLC practices is preferred.

Certifications

Required:

• One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council)

• One or more cloud security –

• The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02)

• Google Professional Cloud Security Engineer

• Microsoft Certified: Azure Security Engineer Associate (Exam AZ-500)

Preferred:

• AI / ML Certification (AWS, GCP, or equivalent)

• AWS Certification (e.g., Solutions Architect, DevOps Engineer)

• IBM, Meta, Microsoft full stack developer certification

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$133,200 - $199,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Software Engineering - IE07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Group Benefits IT Team is seeking a highly motivated, experienced IT Leader who is responsible for leading engineering teams to successfully drive the transformation of our application landscape.  The Software Engineering Manager will have end-to-end accountabilities in IT Operations across the application portfolio.

Successful candidates will be expected to demonstrate strong leadership skills, excellent partnership with stakeholders and partner teams, solid technical acumen, experience in delivering quality technical solutions as well as setting and executing on a strategic technical vision to ensure the systems are stable, performant, and secure.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Manage a team of software engineers

• Function as the go-to technical leader for the software applications supported, requiring depth and breadth of knowledge in technologies, applications, integration, interfaces and business domain

• Serve as key liaison between the architecture and technical delivery teams to influence the technical strategy for the organization, keeping in mind its cross functional impacts, integration across the organization, and architecture rationalization.
• Collaboration with teams to identify opportunities for integration across tools used in the life cycle, including agile, test automation, platform configuration management, and drive efficiencies.
• Ability to provide concise, transparent communications about potential risks, mitigations and business impacts in a timely manner.
• Hires, trains, and develops talent for growth opportunities; monitors team/individual’s morale and engagement to maintain highly effective and collaborative environments.
• Ability to understand technology trade off risks and rewards for the best customer value delivery.
• Challenges teams for continuous improvement ideas and supports the team for implementation.
• Takes ownership to drive innovation for effectively leveraging technology to solve the customer problem.
• Oversee technical deliverables, coaching and mentoring of software engineers and provide technical leadership for same; enforcing development guidelines and best practices. Foster an environment of experimentation and continual improvement through regular Innovation Sprints, technical debt reduction and a forward-thinking architectural runway.
• Experience in building and advocating RESTful services, API design best practices, distributed systems, micro services architecture and other architectural patterns.
• Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment
• Work closely with stakeholders to design and document solutions that align with the business needs and are consistent with the architectural vision

Qualifications:

• 10+ years of experience in application software solution development along with managing software engineering teams.
• Preferred, not required - Oracle Revenue Management and Billing (ORMB) experience
• Strategic planning, process analysis and execution skills for introducing evolving architecture based solutions like cloud-based technologies (AWS), SaaS, and open source frameworks.
• Hands-on experience with Java and J2EE technologies, such as, Java Web Services, JMS, JSP, XML, JSON, JDBC etc.
• Experience with Web Services (SOAP and Rest).
• Experience with containerization and experience in cloud infrastructure environments like Open Shift AWS.
• Experience working in the security domain a plus.
• Experience with Oracle and SQL Server relational database technologies. Knowledge of open-source database technologies is beneficial
• Experience with continuous integration and DevOps methodologies, preferred tools such as GitHub, Jenkins, Rally, SonarQube etc.
• Ability to write and review well-abstracted, reusable code for all backend components.
• Contribute to the code base and ensure code and processes adhere to clean code practices and industry best practices.
• Experience working in an Agile or SAFe development environment
• Superior organization skills with the ability to simultaneously handle multiple projects and priorities in a fast-paced environment
• Excellent verbal and written communication skills including the ability to present confidently before a large audience
• Excellent analytical, problem solving and interpersonal skills

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$133,200 - $199,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Data Engineer - GE07CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

T07

A new role can expand your knowledge and your network and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager.

The Enterprise Data Services Department’s Personal Insurance team is seeking a hands-on Staff Data Engineer to build and scale its Data assets on Snowflake and AWS platform. The role focuses on technical leadership, integrating data from new data sources, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud technologies.

Ideal candidates bring deep expertise in data engineering frameworks and tools, proficiency in programming languages, and experience with DevOps / DataOps pipelines, cloud platforms, and agile methodologies. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environment.

Key Responsibilities:

Design, develop, and optimize highly scalable batch and near‑real‑time data pipelines supporting structured and unstructured data sources (XML, JSON, Parquet).

Lead the delivery of curated, analytics‑ready data products supporting reporting, advanced analytics, regulatory, and machine learning use cases.

Implement robust error handling, reconciliation, restartability, and performance optimization to ensure platform reliability and data integrity.

Partner with Data Governance team for metadata management, data lineage, data quality monitoring and data privacy controls.

Evaluate and apply AI‑assisted engineering tools to improve developer productivity, accelerate delivery, and enhance data solutions.

Provide technical mentorship while partnering with architects and stakeholders to influence and deliver a scalable, trusted AI and data pipelines grounded in best practices and reusable standards

Qualifications, Required Skills & Experience:

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

5+ years of progressive experience in data engineering, with significant hands‑on expertise developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.

5+ years of hands-on experience with Python and PySpark / Spark for data ingestion, transformation, and pipeline development.

Deep hands‑on experience with Snowflake, including SQL development, ELT design, performance optimization, and semi‑structured data handling.

Good experience working with disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.

Good experience with version control tools, CI/CD pipelines and DevOps tools like GitHub, Jenkins, Nexus and uDeploy.

Strong background in Data Profiling, Data Modeling and Data governance concepts is key to this role.

Nice to have

• Certifications in AWS Data & Analytics Services, AI and Snowflake.
• Experience using AI‑assisted development tools to improve productivity in SQL development, data pipeline creation, testing, and documentation.
• Experience in the Insurance industry and policy administration data environments
• Experience with Informatica Data Management Cloud

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$125,760 - $188,640

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Cloud Engineer - IE07NE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. This is a Senior Cloud Engineer position that requires industry experience. You should be passionate for engineering simple solutions to complex problems. You will be focused on improving the developer experience around consuming cloud services. You will be aligned and accountable for helping our business lines to execute on their cloud transformation strategy. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities Design and implement compute architectures that meet application requirements and organizational goals. Collaborate with application teams to architect scalable, secure, and high-performing compute solutions that align with enterprise standards. Image building using tools like HashiCorp Packer to build templates and AMIs. Build and maintain compute product modules using Terraform following best practices. Have in-depth knowledge of designing and building automation for compute provisioning and automate repetitive tasks using infrastructure as code tools, including Ansible and Terraform. Develop and maintain disaster recovery and high availability strategies. Proficient at preparing deployment and standard operational procedure manuals. Manage source control, branching strategies, and CI/CD workflows using GitHub. Automate the monitoring and alerting of compute performance and availability. Evaluate new product releases and make recommendations on implementation of newest versions. Integrate workflows with ServiceNow for change and incident management. Provide second-level support for troubleshooting production incidents. Required Skills & Experience >10 years of professional experience managing compute infrastructure in an on-premises or cloud environment. Hands-on experience with Infrastructure as Code tools such as Terraform, Ansible, and CloudFormation. Experience with GitHub for version control and workflow automation. Familiarity with CI/CD pipelines such as Jenkins or GitHub Actions. Scripting experience such as PowerShell, Bash or Python. Server administration skills on Windows and Linux based operating systems. Knowledgeable with using generative AI tools such as GitHub Copilot or Amazon Q. Solid understanding of networking concepts, VPCs, subnets, and security best practices as they relate to compute deployments. Strong organizational and communication skills with the ability to manage multiple priorities. A passion for engineering excellence and continuous improvement. Effective communication and collaboration skills to work across cross-functional teams. Excellent critical thinking skills. Bachelor’s degree in computer science or related discipline. Strong documentation skills in creating and maintaining operational policies and procedures. A desire for continuous learning. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $137,200 - $205,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day. About Us Our Culture What It’s Like to Work Here Perks & Benefits Legal Notice Accessibility Statement Producer Compensation EEO Privacy Policy California Privacy Policy Your California Privacy Choices International Privacy Policy Canadian Privacy Policy Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice Hartford India Prospective Personnel Privacy Notice

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is searching for a Staff Software Engineer within the Personal Lines organization that will have end-to-end technical accountabilities in application development for personal lines portfolio in a highly distributed, integrated, multi-platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for the business as well as Fundamentally treats IT Operations as Software Engineering and adopted Scrum development methodology and core agile engineering practices such as continuous integration and test-driven development.

Responsibilities:

• Technical Leadership: Provide technical leadership, enforcing the vision of the application architecture and integrity of the application environment in alliance with architects and other tech leads.
• Hands-On Coding: Lead teams while also performing hands-on coding to stay connected with the technical aspects of the projects.
• Code Quality: Conducting code reviews to maintain high standards in coding and reliability.
• Mentorship: Guiding junior engineers to enhance team capabilities and foster growth,

• Communicate Effectively: Proactively communicate risks, issues, and mitigations to stakeholders.

• Embrace Future Technologies: Lead innovation efforts, leveraging modern technologies to solve customer problems. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus.

Qualifications:

• Experience: 5+ years in application software development.
• Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React, XML, XSLT, SQL), and cloud platforms (preferably AWS). Must have a strong working experience as Designer/Developer of REST/SOAP API services, both as consumer & provider.
• DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube).
• Tech Savvy: Passionate about staying current with technology trends, experimenting with modern technologies, and participating in internal tech communities.
• Agile Practitioner: Experience with agile or scrum methodologies.
• Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills.
• Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek,) is a plus.
• Education: Bachelor’s degree in computer science or related field preferred.

This role will have a Hybrid work arrangement, with the expectation of working in an office 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$114,720 - $172,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Data Scientist - GD08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Actuarial Strategic Modeling (ASM) organization is seeking a Data Scientist to strengthen analytical and modeling capabilities supporting pricing, segmentation, underwriting strategies, and portfolio insights within Business insurance. Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a highly collaborative environment which involves heavy interaction with internal business partners across actuarial, product, and underwriting.

We seek candidates with a strong foundation in statistical modeling and/or machine learning who have a drive for finding novel and efficient solutions to maximize business value. As a data scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve loss modeling solutions. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners, so strong communication and presentation skills are required.

This role can have a Hybrid or Remote work schedule depending on the candidate’s years of relevant work experience. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.

Responsibilities:

·       Create statistical models, algorithms, and machine learning techniques to enhance traditional actuarial processes and assumptions

·       Think creatively to envision how we can enhance long-standing actuarial methodology using statistical modeling and machine learning techniques

·       Use Python to build, maintain, and support loss models across different lines of business

·       Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations and effectively translate results to business initiatives

·       Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources

·       Participate in the creation and deployment of long-term tools to continually evolve the business

·       Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function

Qualifications:

·       3+ years of relevant experience recommended

·       At least one of:

o   Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field

o   Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA)

·       Experience in statistical modeling, inference, and building machine learning algorithms in Python and/or R

·       Experience in SQL and navigating databases to extract relevant attributes. Experience in Snowflake is a plus.

·       Experience with Git and cloud ML environments is a plus

·       Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation

·       Able to communicate effectively with both technical and non-technical audiences

·       A team player that demonstrates a high level of ownership

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $135,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Cons Solutions & Design - CG07GE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

This is an individual contributor role reporting into an AVP, Corporate Compliance Officer and is responsible for advancing a risk‑based, data‑driven Compliance program by leveraging automation, analytics, metrics, and emerging technologies (including AI-enabled solutions) and reporting to support regulatory compliance, risk identification, and management oversight.

This role partners closely with Compliance leadership, Legal, Enterprise Risk Management, Internal Audit, Technology, and business stakeholders to design and execute scalable, automated, and defensible analytics and monitoring solutions that demonstrate Compliance program effectiveness, support ongoing monitoring, and enable timely identification and escalation of compliance risks.

This role will have a Hybrid work arrangement, with the expectation of working in an office (Hartford, CT) 3 days a week (Tuesday through Thursday).

Process Improvement & Program Effectiveness (40%)

• Identify, evaluate, and implement automation and AI-enabled solutions (e.g., workflow automation, intelligent monitoring, anomaly detection, generative AI use cases) to improve efficiency, consistency, and scalability of Compliance processes.

• Use data and analytics to identify inefficiencies, control gaps, and opportunities to strengthen and automate Compliance processes.

• Partner with program owners to design and implement process improvements that enhance consistency, scalability, and sustainability.
• Support continuous improvement through trend analysis, root cause assessments, and outcome‑based measurement.
• Plan, execute, and monitor compliance projects using structured project management methodologies. Coordinate cross‑functional teams, vendors, and stakeholders to achieve project milestones
• Lead cross-functional teams in root cause analysis and process redesign.
• Ensure adherence to federal and state insurance regulations (e.g., NAIC Model Laws, HIPAA, ACA, GDPR for data privacy).
• Develop and maintain compliance documentation, policies, standards, and audit trails.
• Manage project communications, including status reporting and stakeholder updates
• Support change management, testing coordination, and transition to operations as required
• Track benefits realization and support post‑implementation reviews
• Escalates decisions that materially impact scope, budget, timeline, or risk exposure

Compliance Analytics & Risk Monitoring (20%)

• Design, implement, and maintain data‑driven monitoring and analytics to assess compliance risk, control effectiveness, and adherence to regulatory requirements.
• Leverage automation and AI techniques to enhance issue detection, reduce false positives, and improve timeliness of risk identification.
• Analyze trends, anomalies, and root causes to identify emerging risks and systemic issues.

Reporting & Management Oversight (20%)

• Produce clear, accurate, and defensible Compliance reporting for senior management, risk committees, and boards.
• Translate complex data into actionable insights and executive‑level narratives that support informed decision‑making.
• Ensure reporting supports regulatory exams, audits, and internal governance forums by providing evidence of effective oversight.
• Act as a trusted advisor to Compliance leadership on analytics, metrics, and risk insights.
• Collaborate with Enterprise Risk Management and Internal Audit to align monitoring activities and reduce duplication.

EPI, KRI, and Metrics Management (10%)

• Develop and maintain Compliance Enterprise Performance Indicators (EPIs), Key Risk Indicators (KRIs), and Key Performance Indicators (KPIs) aligned with regulatory expectations and enterprise risk appetite.
• Ensure metrics are well‑defined, consistently calculated, and supported by appropriate documentation and governance.
• Evaluate metric thresholds, tolerances, and escalation triggers to ensure timely management action.

Data Governance & Controls (10%)

• Promote strong data governance practices for Compliance‑related data, including data quality, lineage, validation, and documentation.
• Ensure analytics and reporting are supported by appropriate controls and align with enterprise data governance, privacy, and information security standards.
• Partner with Technology and Data teams to enhance data availability, reliability, and automation.

Qualifications

• Process improvement mindset with structured project management skills
• Strong understanding of regulatory expectations for risk‑based compliance programs, monitoring, and management oversight.
• Proven ability to translate regulatory and compliance requirements into meaningful metrics and reporting.
• Strong written and verbal communication skills, including experience presenting to senior management and executive-level communication and storytelling.
• Bachelor’s degree in Business, Finance, Risk Management, Analytics, or a related field preferred.
• 5–10+ years of experience in Compliance, Risk Management, Audit, or a related control function, with demonstrated responsibility for analytics, metrics, or reporting.
• Proficiency with analytics and reporting tools (e.g., Power BI, Tableau, SQL, advanced Excel).

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,800 - $166,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Cloud Engineer - IE07OE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

​As a key member of the Reliability Engineering team supporting the Customer Experience Platform, you will design and implement services that standardize and optimize cloud environments for high availability and scalability. You will build reusable architectures and services that accelerate development velocity for agile teams, ensuring robust, fault-tolerant, and operator-friendly solutions. Your work will enable seamless integration of Contact Center technologies and Voice Bots, driving exceptional customer experiences.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities

• Cloud Standardization & Architecture

• Identify, drive, and implement services to standardize cloud environments across the enterprise.

• Build reusable architectures and services that can be leveraged by agile teams to improve development velocity.
• Ensure applications follow best practices for fault tolerance, separation of duties, observability, and operational simplicity.

• Customer Experience and Contact Center Expertise

• Design and operationalize cloud solutions that integrate Contact Center platforms and Voice Bot technologies.

• Act as a subject matter expert for conversational AI and voice automation within customer engagement workflows.
• Advise on scalability and development opportunities to enhance customer experience capabilities.

• Cloud Compliance & Optimization

• Deliver tooling and capabilities for cloud compliance, metrics, reporting, and cost management.

• Translate business requirements into secure, scalable cloud solutions aligned with enterprise architecture principles and guardrails.

• DevSecOps & Agile Practices

• Apply DevSecOps principles and Agile methodologies to build immutable infrastructure using Infrastructure as Code (IaC).

• Champion automation and programmable infrastructure for enterprise-grade deployments.

• Thought Leadership & Mentorship

• Serve as a trusted cloud and customer experience expert for aligned business units.

• Continuously research advancements in cloud and Contact Center ecosystems, presenting forward-looking opportunities.
• Mentor junior team members and influence technical decisions to enable The Hartford’s technology transformation.

• Collaboration

• Work closely with the Chief Technology Office, Enterprise Data Office, , Claims and Contact Center operations to deliver simple, outcome-driven solutions.

Required Qualifications:

• Experience in AWS Cloud, CI/CD DevOps and exposure to IAC deployments and build quality code.
• Minimum 4+ years of software development or data engineering experience.
• 2+ years of operating production workloads in cloud infrastructure.
• Proven experience with SDLC, Agile, and iterative deployment practices.
• Expertise in Contact Center technologies (e.g., Contact Center, Workforce Management, Amazon Connect) and Voice Bots/Conversational AI, including delivery through Cloud Formation Templates and platform enablement using Infrastructure as Code (IaC).
• Ability to communicate effectively at all organizational levels and influence leadership.
• Ability to work independently in a lean, agile, and fast-paced environment.
• Understanding of Serverless, Container, Observability; Cloud trail

Preferred Qualifications:

• Experience with large-scale application and business process cloud re-imaging.
• Exposure to cross-account code promotion best practices.
• Knowledge of cloud security best practices, IAM, and regulatory compliance.
• Practical application of DevSecOps and Agile methodologies.
• Cloud certifications required (AWS, Azure, or GCP).
• Familiarity with Voice Bot frameworks, NLP engines, and integration with Contact Center platforms.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$122,800 - $184,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is searching for a Sr Staff Software Engineer within the Personal Lines organization specializing in Quality Engineering and QA as we deliver on our strategic investment portfolio through our value streams. This role will serve as both a hands-on technical contributor and a strategic quality leader and is responsible for designing, building, and evolving quality engineering practices across a hybrid technology landscape that includes modern cloud-native platforms as well as vendor-based systems. The ideal candidate combines deep engineering expertise with strong leadership, influence, and a pragmatic approach to improving quality at scale.

Responsibilities:

• Quality Engineering Strategy & Operating Model: Define, evolve, and govern the Quality Engineering strategy, standards, and operating model to ensure consistent, scalable, and high-quality delivery.
• Test Automation Architecture & Frameworks: Design, implement, and maintain robust automated test frameworks across application, enabling reliable and repeatable validation of complex systems.
• Hands-On Test Automation & Problem Solving: Drive test automation through hands-on creation of automated test cases, review of automation delivered by teams, and resolution of complex automation challenges.
• Defect Analysis & System Diagnostics: Diagnose and resolve complex defects across distributed systems and third-party integrations.
• System Testability & Reliability Engineering: Improve system testability, observability, and reliability through direct code contributions and collaboration on system and application design.
• End-to-End Quality Execution: Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.
• Mentorship & Engineering Excellence: Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.
• AI & GenAI-Driven Innovation: Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.

Minimum Qualifications

• Experience: 8+ years of software engineering experience, including 5+ years in Quality Engineering, Test Automation, or Quality leadership roles.
• Technical & Engineering Expertise: Demonstrated experience testing and automating for diverse technology platforms (E.g. Java, .NET, SaaS, COTS, and Mainframe) including cloud-native applications on AWS and/or GCP, including containerized and microservices-based architectures along with strong experience in API and contract testing (e.g., REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.
• Test Automation & Quality Engineering: Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in modern test tools and frameworks such as Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.
• Quality Metrics & Outcomes: Proven ability to define, track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.
• Agile & Scaled Delivery: Demonstrated track record of testing and quality execution within Agile and Scaled Agile frameworks, including sprint-level testing, end-to-end validation, and regression/stabilization testing.
• Leadership & Strategic Balance: Proven ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.
• Soft Skills: Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.

Preferred Qualifications

• AI & Innovation: Experience applying AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.
• Domain Knowledge: Experience within insurance, financial services, or other highly regulated domains is a plus.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field preferred

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$127,600 - $191,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Principal Software Engineer - IE06GE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise. 

We are looking for talent who embraces our core values: 

Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design. 
Trust and Transparency: We collaborate closely with partners, mindful of their capacity to absorb change. 
Reliability: Our products come with full monitoring solutions to ensure they deliver as expected. 
Influence through Humility: We listen carefully to our customers and become partners in problem-solving. 
Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback. 

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. 

Responsibilities:

Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools. 

Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.  

Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services. 

Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies. 

Develop and promote best practices in AI, ML, and data engineering across teams. 

Architect and design end-to-end solutions at a component level. 

Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams. 

Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance. 

Provide technical mentorship and career growth opportunities for team members. 

Review work of systems-level engineers to calibrate deliverables against project and business expectations. 

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
• 10+ years building and shipping software and/or platform solutions for enterprises.
• Programming experience with Python is preferred.
• 5+ years of experience with Terraform.
• Experience building libraries, frameworks or platforms used across multiple teams is a plus.
• Proven experience with Google Cloud Platform (GCP).
• Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.
• Proven experience in working with other cloud providers such as AWS cloud is a plus.
• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
• Experience with building scalable serverless applications (real-time/batch) using cloud technologies.  GCP is a plus.
• Knowledge of distributed NoSQL database systems and data engineering, ETL technology.
• Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.
• Experience with IR, vector embedding, and Hybrid/Semantic search technologies.
• Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
• Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
• Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
• Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
• Foundational understanding of Natural Language Processing and Deep Learning.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$168,400 - $252,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Dir Architecture - IA06CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is seeking a highly skilled, hands-on AI Architect to support the Enterprise Technology Architecture (ETA) organization. This role will be responsible for leading the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape, including AWS, Google Cloud Platform (GCP), and on-premises data centers.

The AI Architect will play a critical role in enabling the responsible and secure adoption of Generative AI (GenAI) technologies, establishing architectural standards, and driving the implementation of multiple internal-facing GenAI use cases. This role requires a strong blend of strategic architectural background and hands-on technical execution.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities:

• Build and implement Generative AI and Agentic AI capabilities that enhance internal business processes and customer experiences.
• Develop and govern AI agents and copilots, including experience with Microsoft Copilot Studio and enterprise agent development patterns.
• Design and develop Agentic AI solutions leveraging Model Context Protocol (MCP), Google Agent Development Kit (ADK), LangGraph / LangChain, and Agent Engine on Google Cloud Platform (GCP).
• Ensure AI and GenAI solutions are architecturally aligned with enterprise technology strategy, and meet scalability, security, resiliency, and compliance requirements.
• Drive enterprise adoption of GenAI and Agentic AI frameworks, establishing reusable patterns, reference architectures, and best practices.
• Lead and execute proofs of concept (POCs) to evaluate emerging AI technologies, tools, and frameworks, and transition successful POCs into production-ready solutions.
• Collaborate closely with Enterprise Architects, Platform Engineering, Security, and Data teams to ensure AI solutions align with approved reference architectures and governance standards.
• Stay current with industry trends in Generative AI, agent frameworks, and AI platforms, proactively recommending innovative and practical solutions for enterprise use cases.
• Familiarity with security and privacy controls for AI/ML workloads to protect against exploitation of data or models during training, validation and inference.
• Managing security policy and drift detection at scale across the enterprise.

Cloud Security (AWS & GCP)

• Architect and implement secure cloud solutions leveraging native services and third-party tools.
• Define and enforce cloud security posture management (CSPM), identity and access management (IAM), secrets, key management  and encryption strategies.
• Collaborate with DevOps and cloud engineering teams to embed security into foundational networking components, CI/CD pipelines and infrastructure-as-code.

Datacenter & Hybrid Security

• Ensure secure integration between cloud platforms and on-prem datacenters, including network segmentation, VPNs, and secure data flows.
• Oversee security controls for legacy systems and their modernization paths.

GenAI Security Enablement

• Define security and governance frameworks for GenAI platforms and use cases.
• Ensure responsible AI practices including data privacy, model integrity, explainability and ethical AI usage.
• Collaborate with AI/ML teams to secure model training, inference, and deployment pipelines.

Governance & Collaboration

• Serve as a key member of the Enterprise Technology & Solution Governance
• Partner with business, IT, and risk stakeholders to align security architecture with enterprise goals.
• Provide technical guidance and mentorship to junior engineers and architects on AI development practices.

Required Qualifications:

• Experience: 10-12 years in Engineering / Architecture disciplines, with at least 2+ years in GenAI and Agentic AI development.
• Project Delivery: Must have at least one GenAI or Agentic AI project end-to-end delivery experience.
• Technical Expertise:
• Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, RAG, and Vertex AI.
• Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking.
• Experience developing IaC and application pipelines using modern automation and DevOps tooling (e.g., Terraform, GitHub Actions)
• Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering.
• Programming Skills: Python, Java, or similar languages for AI development.
• Cloud Certifications: GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred.
• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field.
• Soft Skills: Strong problem-solving, communication, and collaboration skills.

Key Competencies:

• Strategic and analytical thinking
• Successfully integrated AI agents into business or technical workflows for automation and enhanced decision-making.
• Improved operational efficiency and customer experience through AI-driven innovation.
• Established reusable AI patterns and best practices for enterprise adoption.
• Strong communication and stakeholder engagement
• Proactive and solution-oriented mindset

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$163,200 - $244,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Data Engineer - GE07CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Third Party Data (3PD) Data Ingestion Technical Lead and Product Owner is a hands-on engineering and technical product leadership role as an individual contributor, that provides direction , technical leadership, and mentoring for data engineers building pipelines to ingest Vendor data.  This role partners closely with Principal Data Engineers (PDEs ), Reliability Engineering (RE), Cloud Engineering, Security, and vendor teams to enable reliable, scalable, and governed ingestion of internal and external data sources that power analytics, AI workloads, and data products.

As a Technical Product Owner, this role is accountable for defining and delivering the vision, roadmap, and value of The Hartford’s 3PD data ingestion capabilities, ensuring ingestion patterns are scalable, resilient, secure, cost‑efficient, and easy for data engineering teams to adopt. The role blends strong technical depth with modern product ownership, adopts enterprise standard reusable ingestion frameworks, automation, and self‑service enablement rather than platform administration.

This role can have a Hybrid. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

Data Ingestion Architecture & Delivery

• Provide technical leadership, mentoring, and oversight for engineers building and operating 3PD data ingestion pipelines.
• Own the end-to-end data pipelines for loading third-party source systems into the enterprise Data Lake and Data Warehouse.
• Collaborates across Enterprise Data Services on 3PD reference architectures for batch, streaming, near‑real‑time, and event‑driven data movement.
• Lead 3PD ingestion framework development to support diverse source systems.
• Partner with enterprise teams to Evaluate, prototype and adopt new ingestion technologies, features, and approaches to improve reliability, scalability, and developer productivity.
• Ensure ingestion solutions align with enterprise data standards, governance, and security requirements.

Reliability Engineering Partnership

• Partner with Reliability Engineering teams to ensure ingestion pipelines meet enterprise availability, resiliency, observability and recoverability expectations.
• Support incident response, root‑cause analysis, and continuous improvement related to ingestion failures and data quality issues.
• Establish and drive observability standards for ingestion pipelines, including freshness, latency, completeness, and error tracking, with a strong emphasis on automation and operational readiness.

Product Ownership & Roadmap

• Define and maintain the 3PD data ingestion roadmap aligned with business priorities and enterprise data strategy.
• Prioritize ingestion features, enhancements, and technical debt based on business value, risk reduction, and scalability needs.
• Own ingestion platform intake, backlog grooming, and iteration planning.
• Experience with SAFe Agile.

User Enablement & Experience

• Own ingestion documentation, onboarding materials, standards, and best practices.
• Enable self‑service ingestion for data engineering teams through reusable components and clear guidance.
• Partner with ingestion consumers to resolve data delivery, quality, and usability challenges.
• Lead or contribute to ingestion‑focused communities of practice across the enterprise.

Partner Collaboration

• Partner with external data providers, and internal consumers to support ingestion requirements for third‑party and externally sourced data.
• Coordinate technical onboarding, schema evolution, delivery SLAs, and data quality expectations with vendors and partners.
• Collaborate on proofs of concept and evaluations for new ingestion‑related tools, technologies, and services.

FinOps & Operational Insight

• Provide visibility into ingestion workload usage, throughput, performance, and cost drivers.
• Identify and recommend optimization opportunities to improve ingestion efficiency while maintaining SLAs and data freshness.
• Partner with engineering and vendor teams to implement cost and performance improvements across ingestion workloads.

Qualifications

Required

• 5–7 years of engineering experience with modern data platforms.
• 3+ years of hands‑on experience designing and operating large‑scale data ingestion pipelines.
• Strong understanding of batch and streaming ingestion patterns, data movement, and data lifecycle management.
• Experience with cloud‑based data ingestion architectures and distributed systems.
• Strong understanding of security, resiliency, DevOps, observability, and automation as applied to data ingestion.
• Experience supporting analytics and AI workloads through reliable, high‑quality data ingestion.
• Demonstrated ability to manage a roadmap, prioritize work, and collaborate with engineering teams.
• Ability to communicate and influence across technical and business teams.
• Strategic thinker with the ability to simplify complex ingestion concepts.

Preferred

• Experience with cloud platforms (AWS, Google,), Snowflake, APIs, infrastructure as code (Terraform) and DevOps tooling (GitHub).
• Exposure to regulated industry environments (insurance, financial services).
• Experience ingesting third‑party, vendor‑provided, and externally sourced data at scale.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$125,760 - $188,640

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Data Engineer - GE07CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

As a Staff Data Engineer supporting Employee Benefits Claims, you will play a key role in shaping how claims data is ingested, transformed, and delivered across the organization. You’ll work on modern, cloud‑based data platforms to ensure high‑quality, governed data products that drive operational efficiency, analytics, and decision‑making. This role combines deep technical expertise with strong partnership across Claims and Enterprise Data teams.

The position offers a strong growth path toward Technical Leadership, with hands-on ownership of claims data pipelines and opportunities to mentor and influence across teams.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Accountable for building small or medium-scale pipelines and data products. End-to-End solution delivery involving multiple platforms and technologies with small to medium complexity or certain sub-systems of large, complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data
• Provides significant input to influence solution architecture
• Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices.
• Accountable for team development and influencing pipeline tool decisions
• Accountable for data engineer practices (e.g. Source code management, branching, issue tracking, access, etc.) followed for the product
• Independently review, prepare, design and integrate complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions to issues
• Provide expert documentation and operating guidance for users of all levels.
• Document technical requirements and present complex technical concepts to audiences of varying sizes and levels.
• Rapidly architect, design, prototype/POC, implement, and optimize Cloud/Hybrid architectures
• Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a project level
• Implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS,
• Client technology stacks)
• Stay up to date on emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and
• influence all technology-based decisions for tools and frameworks for effective delivery
• Support the development and implementation of project and portfolio strategy, roadmaps and implementation

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• 5+ years of data engineering experience and best practices in Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE),Python/Spark, Data mesh and Data Lake, Data Fabric
• Must have Snowflake and IDMC/ Informatica experience
• 2+ years of developing and operating production workloads in cloud infrastructure
• knowledge of agile/iterative methodologies and toolsets
• Ability to execute independently

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$125,760 - $188,640

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.          

Hartford’s Employee Benefits IT Team is seeking a highly motivated, experienced IT professional who is responsible for leading engineering teams to successfully drive the transformation of Employee Benefits application landscape.

This is a hands-on technical leadership role, that will be part of an EB IT team partnering with value stream business to drive and achieve outcomes on a multiyear transformational program.

Successful candidates will be expected to demonstrate strong technical and leadership skills, excellent partnership, proven experience in delivering quality technical solutions as well as setting and executing on a strategic technical vision to ensure the systems are stable, performant, secure and scalable.

Job Description:

• Develop applications with Java and J2EE technologies, use Micro Services, JMS, XML, JSON, JDBC etc. Along with experience of Web Services (SOAP and Rest) using Java Springboot or Apache Camel.
• Identifies, drives and leads in the implementation of standards and best practices on how we deploy applications in AWS. Designs reusable architectures and services that can be leveraged by agile teams across the program to improve development velocity.
• Ability to design and implement new software architecture patterns in Cloud that are scalable, secure and cost efficient, adhering industry standards such as multi region support with fault tolerance and data replication strategies.
• Use shift left approach to do security, testing and performance in dev cycle. Full stack Engineering Mindset
• Very good experience with Sonar, unit testing frameworks, using copilot (GEN AI tools) for app development, infrastructure development.
• Develops Infrastructure as Code (IaC) using CloudFormation templates, YAML files, build specifications, and Python Lambda functions to have a completely automated build and release process for all AWS resource infrastructure and code artifacts.
• Highly knowledgeable with hands on experience of Amazon Web Services including but not limited to Lambda, CloudWatch, ECS, EKS, RDS, DMS, CDC, S3, IAM, SNS, SQS, EventBridge, Service Catalog.
• Working knowledge of software development practices including DevOps and CI/CD tool chains ( GitHub, Jenkins, Docker, K8s etc.)
• Implements proactive monitoring and observability to predict and detect abnormal system behaviors, with timely alerts avoiding system impacts.
• Mentor junior Cloud and Software Engineers.
• Present new ideas to leadership and present on topics to improve the learning of others.
• Communicate clearly and professionally both in speech and in writing.
• Experience with AWS Flink is a nice to have.

Minimum Qualifications:

• Bachelor’s degree in computer science, Math, or any Engineering
• 5+ years of hands-on experience with Java and J2EE technologies, such as, Java Web Services, JMS, JSP, XML, JSON, JDBC etc. Along with experience with Web Services (SOAP and Rest) using Java Springboot or Apache Camel.
• 5+ years software architecture and systems design experience
• Infrastructure as Code experience, like CloudFormation, Terraform, CDK, etc.
• Strong software development knowledge
• Strong technical knowledge of AWS relating to application development and certifications are plus.
• Ability to communicate at all levels within an organization and influence leadership.
• Proven ability to work with cross functional teams and translate requirements between business, project management and technical projects or programs.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $189,240

The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Data Engineering - GE07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Personal Insurance Loss and Demand Modeling Team is looking for a skilled Principal Data Engineer to join our team.  This role will focus on positioning our loss modeling frameworks for the future of personal insurance pricing, with a strong focus on telematics and 3rd party data integration.

Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.

To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.

This role will have a Hybrid work schedule, with the expectation of working in an office ( Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities

• Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.
• Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
• Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.
• Ingest and process large-scale datasets (e.g. telematics data) into the Enterprise Data Lake and downstream systems.
• Curate and publish Data Products to support analytics, visualization, and machine learning use cases.
• Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.
• Apply best practices for data modeling, governance, and security across all solutions.
• Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.
• Monitor and fine-tune data pipelines for performance, scalability, and reliability.
• Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.
• Develop self-healing pipelines with robust re-startability mechanisms for resilience.
• Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.
• Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.
• Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.
• Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
• Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.

Required Skills & Experience:

• Bachelor’s or master’s degree in computer science or a related discipline.
• 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance industry.
• Experience and demostrated expertise in event-level and trip-level telematics driving data data.
• 3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.
• Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation  (3+ years).
• Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).
• 3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.
• Strong technical knowledge (AI solution leveraging Cloud and modern solutions)
• 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.
• 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.
• Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.
• Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$127,200 - $190,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Overview

The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG, GraphRAG, Agentic AI frameworks, and enterprise‑grade cloud engineering.

A key requirement is robust, practical experience implementing MCP and ADK Agentic Protocols, with a solid understanding of:

• Agent memory
• Session and context lifecycle management
• Tooling interfaces
• Secure capability boundaries
• Permissions and role enforcement

Additionally, candidates must have hands-on experience with AlloyDB’s AI/Agentic capabilities—including vector indexing, embedding support, and tight integration with Vertex AI—as well as strong fundamentals in PostgreSQL / Postgres RDS for building retrieval systems, agent memory stores, and structured context-management layers.

The engineer must demonstrate strong foundational engineering skills in Python or Typescript, IaC (Terraform), DevOps pipelines, and secure distributed system design using GCP services such as Vertex AI, Cloud Run, Cloud Storage, and AlloyDB.

Responsibilities

AI/Agentic System Architecture & Development

• Design and implement Agentic AI solutions using Google ADK, LangGraph, LangChain, and Agent Engine.
• Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge‑graph–augmented reasoning.

Implement MCP-compliant agents with capability registration, secure tool invocation, memory storage, and session state management.

• Apply deep knowledge of Agentic Protocol design (ADK & MCP), such as:

• Agent memory and conversation state

• Tool authorization
• Multi‑step workflows and orchestration
• Session boundary and identity controls

• Leverage AlloyDB and PostgreSQL/RDS for:

• Vector storage and hybrid search

• Agent memory persistence, session management, and state recovery
• Structured prompt scaffolding and fact retrieval
• ACID compliant transactional reasoning layers‑compliant transactional reasoning layers
• Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven components.
• Optimize model inference, retrieval latency, and overall system performance.

Security, Governance & Session Management

• Implement enterprise-grade security for agents including:

• OAuth and SSO flows

• IAM roles, service accounts, least privilege design‑privilege design
• Secure MCP tool access, command permissioning, and input validation
• Architect safe session‑based AI interactions with proper expiration, auditing, and context isolation.
• Ensure compliance with enterprise governance, Responsible AI requirements, and platform guardrails.

Platform Engineering, IaC & DevOps

• Use Terraform to build GCP infrastructure for AI workloads, vector stores, knowledge graphs, and orchestration services.
• Build CI/CD pipelines for model deployments and agent lifecycle automation.
• Implement observability, monitoring, and logging for AI service health.

Innovation & Collaboration

• Evaluate emerging tools like Claude Code, GitHub Copilot, AWS Kiro and integrate them into engineering workflows.
• Partner with architects, data engineers, and platform teams to implement cross‑domain AI capabilities.
• Document architecture patterns, reusable code modules, and standards for MCP/Agentic development.

Qualifications

Experience

• 6–8 years in software engineering, including 2+ years in GenAI, multi-agent, or LLM systems.
• Proven delivery of at least one production‑grade AI or Agentic system, preferably involving RAG or GraphRAG.

Technical Expertise

Core Engineering

• Strong engineering fundamentals in Python and/or Typescript.

Agentic AI & Protocols

• Deep, practical experience with:

• MCP (Model Context Protocol) — tools, capabilities, memory, session orchestration, security

• Google ADK Agentic Protocols — agents, workflows, context management

Databases & Agent Memory Stores

• Hands‑on experience with AlloyDB, including:

• Vector indexing / pgvector

• AI inference acceleration and Vertex AI integration
• Building agent memory and retrieval layers
• Transactional context management for Agentic systems

• Strong PostgreSQL/Postgres RDS fundamentals, including:

• Schema design for knowledge retrieval

• Query optimization
• Hybrid search patterns
• Durable storage for AI session and memory state

Cloud & Platform Skills

• Experience with:

• Vertex AI (Model Garden, Embeddings, Vector Search, Generative AI APIs)

• GCP Cloud Run, AlloyDB, Cloud Storage, Secret Manager
• Terraform / IaC
• CI/CD automation, containerization, environment provisioning
• OAuth, SSO, IAM roles/policies, service account management

Additional

• Experience with AI coding tools (Claude Code, GitHub Copilot, AWS Kiro).
• Strong understanding of LLM safety, governance, context window management, and prompt engineering.

Preferred Certifications

• GCP Professional Cloud Architect
• GCP Professional Machine Learning Engineer

Education

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). 
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$127,600 - $191,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Data Scientist - GD08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Step into the future with The Hartford as an AI Scientist, where Generative AI isn’t just a buzzword—it’s central to our strategy. Join a team that’s advancing AI‑driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle & Large Business team, you’ll work on high‑impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact—driving innovation, efficiency, and smarter decision‑making with cutting‑edge AI tools. If you’re looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you.

We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). 

Responsibilities:

Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.  
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry. 
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts. 
Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.

Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object‑oriented programming, modular design, and testing.
Apply AI techniques to complex and heterogeneous risk exposures within Middle & Large Commercial portfolios.
Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit,  LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability. 
Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods. 
Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.  

Qualifications:

Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field. 
3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI. 
Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc. 
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation. 
Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc. 
Experience developing and deploying agentic AI workflows and systems
Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc. 
Strong analytical, problem solving and debugging skills.  
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $135,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Project Manager III - BP07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Role Overview:

A Project Manager plays a critical role in driving delivery, coordination, and execution across analytical initiatives within the Actuarial Strategic Modeling (ASM) organization. In this role, the Project Manager is highly people-facing and acts as a trusted delivery partner to internal leadership and executive stakeholders. This individual is responsible for preparing clear, leadership-ready materials that summarize progress, risks, decisions, and impacts, and for facilitating effective communication between technical teams and end users across actuarial, underwriting, IT, governance, and product organizations.

This role serves as a senior individual contributor within ASM, exercising strong ownership, initiative, and execution discipline. Success in this role requires the ability to work independently, manage complexity, and drive outcomes through influence, communication, and follow-through in a fast-paced, Agile environment.

The Project Manager serves as a central point of coordination across technical teams and business stakeholders, ensuring alignment between modeling priorities, implementation timelines, and enterprise delivery expectations.

Responsibilities:

• Coordinate cross functional alignment across actuarial, underwriting, product, engineering, IT, and governance
• Deliver clear partner communications, updates, and executive ready presentations
• Manage plans, timelines, and dependencies across multiple ASM modeling projects
• Track progress, surface risks, and drive accountability through consistent status reporting and RAID management
• Support development and sequencing of ASM modeling roadmaps, including PI Planning
• Coordinate governance and stage gate readiness, plus post deployment adoption and benefits tracking
• Promote consistent, repeatable project processes across ASM
• Provide assistance to teams regarding inquiries related to Rally and Agile methodologies

Qualifications

Basic Qualifications:

• Minimum 3 years of project management experience leading complex, cross-functional initiatives in a matrixed environment, with demonstrated ability to work independently and drive execution without close supervision.
• Proven experience managing multiple concurrent projects, including development and maintenance of integrated project plans, timelines, milestones, dependencies, and interlocks.
• Demonstrated ability to drive accountability across teams by ensuring milestones are met, proactively identifying and escalating risks or blockers, and maintaining alignment across stakeholders.
• Strong written and verbal communication skills, including the ability to translate complex analytical or technical work into clear business-facing updates, risks, decisions, and impacts.
• Experience supporting Agile delivery teams, including coordination of Agile ceremonies and PI Planning activities, without serving in a dedicated Scrum Master role.
• Working knowledge of software delivery and implementation practices, including coordination with engineering and IT partners and support for UAT and release readiness activities.
• Experience preparing leadership-facing materials, including clear, concise presentations and updates for senior leaders and executive audiences.
• Ability to operate effectively in a fast-paced environment with parallel initiatives, competing priorities, and evolving timelines.
• Experience using Rally for Agile planning, tracking, and reporting.

Preferred Qualifications:

• 5 to 7 years of project management experience with a consistent track record of delivering complex initiatives on time and with high execution quality.
• Bachelor’s degree strongly preferred
• Strongly preferred experience in insurance, employee benefits, or related regulated environments, particularly roles involving actuarial, underwriting, or product stakeholders.
• Experience supporting analytic, statistical, machine learning, or AI model development initiatives, including coordination across actuarial, data science, engineering, and IT teams.
• Familiarity with model governance and control processes, including coordination of timelines for Model Risk activities, documentation tracking, and maintenance of model inventories.
• Experience developing and maintaining delivery management artifacts such as RAID logs, dashboards, status reporting, and repeatable project templates.
• Experience maintaining or supporting team collaboration and content management sites, including SharePoint.
• Demonstrated ability to improve delivery consistency and transparency by implementing standard processes, tools, and templates across teams.

Work Arrangement:

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office three days a week, Tuesday through Thursday. Candidates who do not live near an office will have a remote work schedule, with the expectation of coming into an office as business needs arise.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,400 - $165,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Software Engineer - IE08DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

We are seeking a Full Stack Software Engineer to join our Back Office team within HIMCO IT. This role is critical in partnering with technology and investment professionals to deliver innovative solutions that meet dynamic information and automation needs. You will build systems that empower Portfolio Managers, Traders, and Analysts to make informed investment and financial decisions.

What You’ll Do
As a Full Stack Engineer, you will work on a diverse range of initiatives, including:

Developing interactive web applications and batch processing systems
Integrating and enhancing vendor platforms
Applying object-oriented design principles and leveraging AI-driven solutions to improve efficiency
This is an exciting opportunity for someone passionate about solving business problems through creative, technology-driven solutions. You’ll collaborate closely with business and technical teams, deliver impactful systems, and contribute to mission-critical projects.

Our Technology Stack

• Languages & Frameworks: C#, ASP.NET MVC, HTML5, CSS, Python
• Tools: Microsoft Visual Studio
• Platform: AWS, Cloud native services
• Database: MS SQL Server, Oracle, PostgreSQL
• Architecture: RESTful APIs, Microservices
• Scheduling: CA AutoSys
• Methodology: Agile Scrum
• ETL: SSIS
• Others: Github, GHA, Co-pilot

Key Responsibilities

• Develop a strong understanding of the investment industry and related business processes
• Participate in project planning, clarify requirements, and engage with clients and analysts
• Design, develop, and maintain applications following disciplined software development practices
• Implement quality assurance principles and ensure solutions meet business needs
• Provide ongoing maintenance and support for applications
• Handle support issues within your area of expertise
• Requirements
• Experience developing systems in cloud with .NET C#, and solid knowledge of SQL and relational databases using cloud native services.
• Bachelor’s degree in Computer Science, Information Technology, or related discipline

Preferred Qualifications

• Experience integrating and supporting vendor systems
• Exposure to investment domain
• Familiarity with ETL tools
• AWS cloud implementation experience
• Python development experience

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

As a condition of your employment for HIMCO, you will be required to affirm to HIMCO’s Code of Ethics and understand that you will be required to comply with the disclosure of accounts, holdings and pre-clearance of trades for the accounts of you and your household family members as more fully described in the Code of Ethics Key Points. If you will be deemed to be a “Covered Associate” under HIMCO’s Pay to Play Policy, you will also need to disclose all political contributions that you have given within the past 2 calendar years.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$88,000 - $132,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

VP, Model & AI Risk Management - KM04AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Head of Model and AI Risk serves as the second line of defense, offering independent oversight and providing credible challenge to confirm that both traditional quantitative models and advanced AI systems are developed, implemented safely, and functioning effectively.

As the Head of Model and AI Risk, you will define the enterprise-wide strategy for managing risks associated with machine learning, generative AI, and traditional statistical models. You will lead a high-performing team to establish an Enterprise AI Risk Framework, perform independent assessments and validations, ensure alignment with industry frameworks (NIST AI) and compliance with regulatory expectations (e.g., NAIC Model Act/Bulletin, EU AI Act, Federal Reserve SR 11-7). This role requires a strong focus on responsible AI adoption, carefully balancing the pursuit of innovation with a steadfast commitment to risk management in a dynamic and fast paced environment. The Head of Model and AI Risk will lead a team of approximately 14 professionals. This role is based in our Hartford, CT, Home Office. Candidates based elsewhere may also be considered.

Key Responsibilities

• Risk Governance: Develop and maintain the Enterprise AI Risk Management Framework, aligning internal controls with NIST AI RMF and ISO 42001 standards.
• Independent Validation: Oversee model validation and technical assessments of models across the lifecycle (e.g., conceptual design, data integrity, and performance). Design and maintain risk validation framework for third-party generative AI models and services.
• Risk Analysis: Lead evaluations of specific AI risks (e.g., bias detection, explainability, adversarial robustness, hallucination). Oversee scenario and portfolio risk analysis to understand potential risks (tail risk, systemic risk, aggregate risk), quantify potential impacts and identify opportunities to enhance control mechanisms.
• Credible Challenge: Provide decisive, independent challenge on all AI initiatives, from strategy and design through execution and post-production monitoring, grounded in deep technical expertise; ensuring they remain within the organization’s risk appetite.
• Executive Reporting: Prepare high-level risk dashboards and reports for the Board of Directors and regulators, translating complex technical findings into actionable business insights.
• Tools/Technology: Drive the advancement of Model and AI risk management practices by integrating AI-powered automation and enhanced technology capabilities.

Qualifications

Leadership & Communication:

• Proven leadership skills, experience managing cross-functional teams, strong critical thinking, and the ability to influence senior stakeholders.
• Proven track record of scaling large, complex AI or technology initiatives from concept through to production and continuous improvement.
• Proven ability to provide decisive, independent challenge to senior leadership and influence strategic outcomes in a principles-based manner.
• Demonstrated success leading high-performing, multi-disciplinary teams and driving change in a large complex organizations.
• A track record of operating effectively in high-pressure, fast-paced environments, demonstrating resilience and sound judgment under ambiguity.

Expertise

• Deep technical fluency in AI/ML and GenAI model development, validation techniques, performance benchmarking, and MLOps tools. Proficiency in programming languages (e.g. Python, R) and relevant data science libraries. Demonstrated deep subject matter expertise in Artificial Intelligence, including current and emerging technologies and their specific risk implications within a financial services context.
• Extensive experience in model risk management, model validation, or audit within a regulated industry (e.g., financial services, healthcare), with a proven track record of managing risks in emerging technologies.
• Strong understanding of relevant regulatory guidance and frameworks (e.g., SR 11-7, the NIST AI Risk Management Framework).
• A Master's or PhD degree in a quantitative field such as computer science, statistics, engineering, or economics.
• 15+ years of experience in a large, complex financial institution, regulatory body, or related field, minimum of 10 years in a senior leadership role within risk management, audit, model governance, or technology risk, with direct experience in AI deployment and oversight.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$216,400 - $324,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Dir & Data Scientist - GD06BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford seeks a Director & Data Scientist within Employee Benefits to develop statistical and machine learning solutions supporting actuarial pricing and reserving modeling.

In this role, you will be a hands-on technical expert contributing across the full model lifecycle—partnering closely with actuarial, business, and engineering stakeholders to understand business strategies and translate them into robust, scalable modeling solutions. You will design, develop, implement, and evolve advanced analytics and machine learning models using modern technologies, MLOps practices, and Agile delivery frameworks.

This cutting-edge, forward-focused organization offers the opportunity to work autonomously on high-impact problems, influence technical and analytical decisions, collaborate deeply with cross‑functional partners, and gain strong visibility as we focus on continuous, value-driven data and model delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Develop, test, validate, and maintain a portfolio of rating models for the Employee Benefits class plans in Long-Term Disability, Short-Term Disability, and Life

• Continuously partner with Actuarial and Data teams to monitor and manage the End-to-End lifecycle of the rating models and underlying data which feeds them

• Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financial objectives, solve business problems, and identify long-term opportunities that enhance actuarial modeling.

• Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.

• Advance the department’s capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.

• Develop strategies to achieve targeted business objectives. Implement these strategies and follow through to successful conclusion.

• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.

• Participate in the talent management process for hiring, onboarding, training and development of staff.

• Collaborate with your leader to provide timely feedback on development and opportunities for your team.

• Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.

Qualifications:

• 8+ years of relevant experience recommended

• Master’s or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation

• Expertise in actuarial modeling; experience in Employee Benefits pricing is a plus.

• Experience with mentoring Data Scientists and providing guidance through model development

• Expertise in statistical modeling, inference, and building machine learning algorithms in Python

• Expertise in SQL and navigating databases to extract relevant attributes

• Expertise in Unix and Git

• Expertise in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation

• Experience building modeling solutions in cloud-native environments, such as Sagemaker, a plus

• Able to communicate effectively with both technical and non-technical teams

• Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

• Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$138,000 - $207,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Analyst Model Risk Management - KM07AE

Analyst Model Risk Management - KM08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.          

The Hartford’s Model Risk Management function seeks a Risk Manager to join a talented and high-performing Model Risk Management team. The successful candidate will lead efforts to ensure the integrity, accuracy, and compliance of AI and Generative AI (GenAI) models used across the enterprise. The Risk Manager/Validator will independently review, challenge, and validate models to ensure they meet internal model risk management standards, regulatory expectations, and ethical AI principles.

The Hartford utilizes advanced analytics, predictive, AI/ML, and Generative AI models as well as traditional actuarial models in a variety of important and critical business functions. The Model Risk Management team manages model risk across The Hartford by validating these models, implementing consistent policies and standards, and maintaining appropriate model oversight. As part of the team, this role will focus primarily on validating AI and GenAI models across The Hartford and reporting results to key internal stakeholders. Additional responsibilities include educating modeling best practices and spreading model risk awareness across the enterprise.

Responsibilities:

• Perform model validations models on AI and GenAI model use cases across The Hartford’s functional areas and lines of business to ensure models are performing effectively and efficiently
• Ensure model calculations, machine learning algorithms, and GenAI methods are accurate and appropriate for intended use
• Design and build challenger solutions and/or testing methods for tasks such as summarization, question answering, search, data synthesis, llm-as-a-judge etc.
• Review and assess the quantitative and qualitative testing techniques to ensure model accuracy, robustness, and reliability
• Assess key data inputs, assumptions, prompt engineering, context engineering for accuracy and appropriateness
• Review model outputs for accuracy and appropriate downstream usage
• Deliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc.
• Identify findings and recommendations, including impact analysis, to mitigate model risk and compile clear and concise model validation reports
• Perform governance accountabilities related to findings tracking, remediation testing, and validation
• Assist in enhancing existing GenAI model validation framework to include standardization evaluation metrics for performance and reliability, deployment of model validation tools for increased efficiency, and ensure continued alignment with regulatory standards
• Strengthen partnerships with Data Science teams to keep model risk practices aligned with the proliferation and sophistication of modeling, promote proactive risk management, and share best practices.
• Pro-actively stay informed with advancements in AI/ML, GenAI, and regulatory expectations for emerging technologies and of department initiatives, deliverables, and reporting
• Assist with the understanding and testing of cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Assist in improving The Hartford’s Model Risk Management function in relation to AI and GenAI, by monitoring external environment, implementing emerging best practices, recommending process improvements, and evolving standards/guidelines.

Qualifications:

• Advanced degree (M.S. or Ph.D.) in a relevant field e.g. Artificial Intelligence, Machine Learning, Computational Science, Engineering, Statistics, Applied Mathematics, Actuarial Science, Computer Science, Quantitative Economics.
• 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• P&C, Group, Life or related insurance product experience is a plus
• Strong programming experience across languages/technology platforms including Python, R, SAS/SQL
• Solid understanding of GenAI concepts including prompt and context engineering, retrieval-augmented generation (RAG), agent workflow, LLM evaluation, familiarity with neural networks
• Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs.
• Ability to act independently with proactive self-directed accountability and demonstrated experience and consistency in meeting deadlines while adapting to shifting priorities
• Strong analytical, critical and investigative thinking skills
• Demonstrated commitment to lifelong learning with a strong desire for continuous development to keep pace with evolving modeling techniques and AI technologies.
• Solution oriented creativity, innovative thinking, and challenging the status quo.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$108,000 - $162,000

The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Information Security - IS07CE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

We are seeking an experienced Technology Risk Manager with expertise in Cybersecurity and Vulnerability Management to oversee and mature our First Line Technology Risk program. This role will serve as a key risk partner to Technology, Cybersecurity, and Governance teams, ensuring security risks are identified and prioritized in alignment with the organization’s risk appetite. The ideal candidate brings a strong background in formal risk management, executive‑level communication, and cross‑functional partnership across the three lines of defense. Insurance or financial services experience is highly desirable.

Why Join Us?

This role offers the opportunity to shape and influence enterprise‑wide cybersecurity risk outcomes, partner with senior leaders, and play a critical role in protecting the organization while enabling business and technology innovation.

Key Responsibilities

• Oversee the enterprise Vulnerability Management Risk Program, ensuring effective governance, prioritization, and risk‑based decision‑making
• Partner with technology and cybersecurity owners to review findings, validate risk severity, develop remediation plans, and manage risk acceptances
• Track, analyze, and report key risk indicators (KRIs), metrics, and trends, delivering clear, actionable insights to senior leadership and executive stakeholders
• Ensure cybersecurity risk management practices align with industry frameworks and regulatory expectations (e.g., NIST, ISO, FAIR, COBIT)
• Act as a liaison to 2nd line (Enterprise Risk Management, Compliance) and 3rd line (Internal Audit) teams, supporting risk assessments, exams, and audits
• Drive continuous improvement of risk processes, tooling, metrics, and governance to enhance cybersecurity risk posture
• Support risk‑based decision making by facilitating risk acceptances, exceptions, and remediation timelines in alignment with risk appetite

This role will have aHybrid work schedule,with the expectation of working in an office (Columbus, OH or Hartford, CT) 3 days a week (Tuesday through Thursday).

Required Qualifications

• 5+ years of formal Technology Risk or Cybersecurity Risk Management experience
• Strong background in Cybersecurity and Vulnerability Management, including vulnerability lifecycle management and risk prioritization
• Strong understanding of controls and risks aligned to Identity and Access Management, Cyber Operations, Data security, Cloud Security, and Gen AI Security
• Demonstrated experience partnering with technology, infrastructure, application, and cloud teams
• Proven ability to communicate complex technical risk concepts to non‑technical and executive audiences
• Experience developing and reporting risk metrics, dashboards, and executive‑level reporting
• Solid understanding of risk management frameworks and standards (e.g., NIST CSF, NIST 800‑53, ISO 27001, FAIR, COBIT)
• Experience operating within a three lines of defense model
• Strong leadership, influence, and stakeholder management skills

Preferred Qualifications

• Insurance industry or broader financial services experience
• Prior experience supporting regulatory exams, internal audits, and external assessments
• Experience leveraging automation and AI to improve cyber risk management processes, including risk identification, assessment, monitoring, and reporting.
• Familiarity with vulnerability scanning tools and risk governance platforms
• Experience with risk frameworks and formal risk documentation
• Relevant certifications such as CISSP, CISM, CRISC, or CISA
• Experience operating in large, complex, or highly regulated enterprise environments

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$126,800 - $190,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

VP IT Management - IM04AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

At The Hartford, we’re building the next generation of AI capabilities that power real business decisions—from predictive models that shape risk and pricing to AI agents that help people work smarter. To lead this effort, we are seeking a Vice President of AI Platform who brings together strong engineering discipline, practical innovation, and sound governance.

This role sits at the center of the company’s AI strategy and is responsible for shaping and operating an enterprise AI platform that supports predictive modeling, generative AI, and agent‑based systems, operating reliably across AWS and Google Cloud. Equally important, the role ensures these capabilities are safe, well governed, and trusted by the business.

The Vice President of AI Platform leads a senior organization of platform engineers, MLOps and reliability specialists, and enablement leaders, partnering closely with Data & Analytics, Security, Risk, Legal, and business leaders to enable rapid delivery aligned with enterprise standards.

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT; Charlotte, NC; Chicago, IL; Columbus, OH) will be expected to work in an office three days per week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be authorized to work in the U.S. without company sponsorship.

Key Responsibilities:

• Building and Evolving the AI platform - Setting the direction for a multi‑cloud AI platform that supports a wide range of workloads—from classical predictive models to modern GenAI and multi‑agent systems. This includes establishing clear architectural standards for security, data access, identity, and deployment, while still giving teams the flexibility they need to deliver.
• Predictive Model Enablement - A core part of the platform is making predictive modeling easier to build, deploy, and operate at scale. This role will oversee standardized pipelines for features, training, validation, deployment, and monitoring. Ensuring models meet expectations around performance, explainability, fairness, and auditability – critical requirements in a regulated environment.
• AI Agents and Multi‑agent Systems – Leading the enablement of AI agents, including more advanced multi‑agent patterns where agents collaborate, review each other’s work, or operate with human oversight. Responsibilities include providing reference architectures, shared services, and guardrails so teams can build agent‑based solutions that are effective, observable, and safe.
• Agentic Analytics and Conversational BI - The platform will support conversational analytics and agent‑driven insights grounded in trusted data. This role will help establish and scale a strong semantic layer using Looker and/or Snowflake so metrics, dimensions, and predictions remain consistent, whether they’re surfaced in dashboards or through natural‑language interactions.
• Developer Experience and Enablement – This role heavily invests in developer experience, creating clear “paved paths” for teams building models and agents. This includes templates, APIs, and tooling, such as Antigravity and the Gemini CLI—that shorten the path from idea to production and reduce one‑off engineering work.
• MLOps, LLMOps, and Reliability - Running AI in production requires discipline. This leader will ensure strong practices around CI/CD, versioning, evaluation, monitoring, and rollback for both models and agents. Accountable for platform reliability, with clear SLOs, capacity planning, incident response, and cost visibility.
• Cloud Platform Operations - Supporting and standardizing SageMaker for training, experimentation, and inference on AWS. On Google Cloud, automating Vertex AI environments, pipelines, and deployments, using infrastructure‑as‑code and self‑service patterns wherever possible.
• Gemini Enterprise Enablement – The role will guide how Gemini Enterprise is adopted across the company: defining secure usage patterns, grounding strategies, access controls, and integrations that align with enterprise risk and compliance expectations.
• Governance, Risk, and Responsible AI - Working closely with Risk, Legal, Compliance, and Security to embed governance directly into the platform. This includes model and agent registries, approval workflows, lineage, audit trails, and policy enforcement, designed to protect the company without slowing innovation.
• Training and Adoption - Overseeing training and enablement for predictive modeling, AI agent development, and safe production practices. Applying a strong customer‑success lens on the platform, using feedback and adoption metrics to guide continuous improvement.
• Leadership and Influence - As a VP-level leader, this role will hire and develop strong leaders, set clear expectations, and create an environment where teams do their best work. It also partners closely with senior executives across technology and the business, communicating clearly and backing decisions with sound judgment and data.

Qualifications:

• 15+ years of experience leading AI, ML, or platform engineering organizations at enterprise scale
• Proven ability to scale teams, platforms, and operating models in complex environments. Bachelor’s or master’s degree in computer science, engineering, or a related field (preferred)
• Deep understanding of how predictive models, LLMs, and AI agents behave in production
• Experience operating AI systems with strong discipline around reliability, performance, and lifecycle management
• Hands‑on experience designing and operating AI/ML platforms on AWS and Google Cloud
• Strong working knowledge of training, experimentation, inference, and pipeline orchestration in cloud environments
• Expertise across feature pipelines, evaluation metrics, CI/CD, monitoring, and rollback strategies
• Ability to make and explain tradeoffs between reliability, scalability, cost, and speed
• Demonstrated experience partnering with Risk, Legal, Compliance, and Security teams
• Strong understanding of governance controls required in regulated enterprise environments
• Ability to communicate complex technical topics clearly to senior executives and business leaders
• Trusted partner to technology and business stakeholders, with sound judgment backed by data
• Experience leading large, distributed teams through clear expectations and strong talent development
• Proven track record of translating strategy into measurable outcomes, with accountability for execution and results.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$222,480 - $333,720

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Lead IT Engineer - IE07ME

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Lead Productivity AI & Agentic Platforms Engineer

Core Responsibilities

• Solution Ownership:
  Deliver complex subsystems and integrations for Gemini Enterprise, Copilot and related Microsoft 365 services, owning solutions end‑to‑end from design through production.
• Architecture & Design:
  Define solution architecture for Copilot and agentic deployments, including governance, security, scalability, resiliency, and lifecycle management.
• Integration:
  Integrate and connect Gemini Enterprise and Microsoft 365 Copilot with enterprise systems and M365 workloads, ensuring seamless interoperability across platforms.
• Performance and Optimization:
  Identify and implement opportunities for automation, refactoring, performance tuning, and maintainability improvements across agentic solutions.
• DevOps Practices:
  Implement CI/CD pipelines for agent platforms such as Gemini Enterprise and M365 Copilot‑related services, aligned with enterprise DevOps and security standards.
• Leadership & Mentorship:
  Guide junior engineers, lead technical and architectural discussions, and influence platform‑level engineering and design decisions.
• Governance & Compliance:
  Ensure adherence to AI governance policies, licensing requirements, and enterprise data protection standards.
• Innovation:
  Drive adoption of Copilot, Copilot components, Gemini Enterprise, and AI‑driven insights to enhance productivity and decision‑making across business units.

Required Skills

• Deep knowledge of the Microsoft 365 ecosystem, including Teams, SharePoint, Outlook/Email, and Viva Insights.
• Expertise in Gemini Enterprise, Copilot for Microsoft 365, Copilot Studio, and AI‑driven automation.
• Strong understanding of licensing models and enterprise deployment strategies.
• Experience with scripting, automation, and integration, including Power Platform, PowerShell, and Python.
• Familiarity with data governance, security, and compliance best practices in enterprise environments.

Preferred Qualifications

• Advanced technical expertise in Gemini Enterprise, the Microsoft 365 ecosystem, and AI agentic creation and management capabilities.
• Ability to anticipate business needs and develop forward‑looking technical and AI strategy.
• Strong problem‑solving and architectural decision‑making skills.
• Demonstrated leadership in complex agentic implementations and multi‑team coordination.
• Experience with Copilot, Copilot Studio, and contextual AI responses.
• Knowledge of analytics and reporting tools, including Power BI and Viva Insights dashboards.
• Proven track record leading enterprise‑scale AI and productivity platform implementations. Work Arrangement

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$128,800 - $193,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Join our team as a Sr GenAI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact!

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities:

Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. Stay up to date with industry advancements in AI and apply modern technologies and methodologies to our systems. Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as GCP, Vertex AI, S3, AWS Bedrock, Spark streaming, or similar. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Apply AI solutions to insurance-specific data use cases and challenges. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.

Required Skills & Experience:

• 8+ years’ Strong hands-on experience programming skills in Python.
• 7+ years of data engineering Strong hands-on experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark.
• 3+ years of data engineering experience focused on supporting Generative AI technologies.
• 2+ years Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.
• 3+ years’ experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
• 3+ years’ Experience of vector databases and graph databases, including implementation and optimization.
• 3+ years’ Experience in processing and leveraging unstructured data for GenAI applications.
• 3+ years’ Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).
• 3+ years’ Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.

Nice to Have:

• Experience with prompt engineering techniques for large language models.
• Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.
• Experience in multi cloud hybrid AI solutions.
• AI Certifications Experience in P&C or Employee Benefits industry Knowledge of natural language processing (NLP) and computer vision technologies.
• Contributions to open-source AI projects or research publications in the field of Generative AI.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$135,040 - $202,560

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Dir Business Data Analysis - GA06AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Join The Hartford’s Customer Data Ecosystems (CDE) team as we redefine how data and AI power customer experiences. As the Director of AI Data Intelligence for Customer (CX), you’ll lead the design and delivery of next-generation platforms that unify customer identity, behavior, and interaction data, enabling real-time insights and predictive decision-making. By leveraging Generative AI, advanced data engineering, and modern analytics frameworks, this leader will transform how the enterprise understands and engages customers, driving personalization, operational efficiency, and superior customer experiences.

Responsibilities:

AI-First Customer Intelligence Strategy

• Define and execute a multi-year roadmap for AI-driven customer intelligence platforms, aligned with enterprise CX and data strategy.
• Champion adoption of Generative AI and agentic frameworks to deliver real-time, contextual insights for customer engagement and servicing.
• Influence senior leaders across Product, Marketing, Operations, and Line of Businesses (LOBs) to embed customer insights into prioritization, journey redesign, and strategic decisions.

Platform Architecture & Innovation

• Own the vision for a unified customer intelligence layer integrating identity, behavioral signals, and interaction history using advanced data engineering patterns.
• Collaborate with AI engineering teams to operationalize GenAI capabilities, retrieval-augmented generation (RAG), and knowledge graph-driven insights.
• Drive experimentation with vector databases, semantic layers, and streaming architectures to enable predictive and prescriptive intelligence.
• Drive data marketplace initiative for CDE, including consumer data products, glossaries, definitions, and resolution of data issues across business units.

Generative AI Enablement

• Oversee development and deployment of AI-powered models for Next Best Action, personalization, and proactive servicing.
• Partner with IT, Data Engineering, and Innovation teams to embed GenAI capabilities into analytics platforms, customer-facing applications, and cross-functional workflows.
• Maintain alignment with governance, trust, and safety standards for ethical AI deployment.

Data Quality & Governance

• Establish robust data quality frameworks for customer intelligence platforms, ensuring accuracy, consistency, and compliance.
• Partner with enterprise data governance teams to define standards for data marketplace, persona modeling, and cross-channel data integration.

Leadership & Collaboration

• Build and lead a multidisciplinary team of AI data analysts and CX strategists.
• Foster a culture of innovation, continuous learning, and cross-functional collaboration.
• Act as a strategic advisor to senior leadership, translating complex AI-driven insights into actionable business outcomes.
• Collaborate with vendor partners and internal innovation teams to drive cutting edge innovation capabilities.

Required Skills & Experience

• 10+ years of experience in data engineering, AI/ML, or advanced analytics, ideally with Insurance, Financial Services, or direct customer-facing industries.
• 5+ years’ experience in customer analytics and formal management responsibilities.
• Proven expertise in Generative AI, knowledge graphs, RAG, vector databases, and cloud data ecosystems (Snowflake or GCP Vertex AI).
• 1+ year designing, testing, and optimizing prompts for generative AI models (LLMs, RAG architectures).
• Experience integrating AI agents into data workflows and automating decision-making processes.
• Strong understanding of semantic layers, ontology-driven architectures, and real-time streaming platforms.
• Expertise in SQL, Python, or other relevant scripting languages for data manipulation and analysis.
• Demonstrated ability to lead large-scale platform initiatives and manage cross-functional teams.
• Exceptional communication and storytelling skills to influence technical and business stakeholders.
• Commitment to continuous learning and professional development in AI, data engineering, and cloud technologies.
• Proactive, adaptable, and comfortable working in fast-paced, complex environments.
• Bachelor’s degree in Computer Science, Data Science, or related field; Master’s or MBA preferred.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$138,800 - $208,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

VP Data Science - GD04AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is hiring a Vice President to lead the Claims Data Science organization. This role is pivotal in transforming the Claims customer journey by aligning AI capabilities with the Claims strategy, enabling enhanced claim outcomes, process and experience. This leader will oversee a mature portfolio of production solutions and develop new Machine Learning, Generative AI and Agentic AI solutions.

This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday)  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.

Specific responsibilities include

• Develop and oversee a highly productive Data Science organization to develop, test, and maintain robust AI capabilities across the claim lifecycle, including routing work to the appropriate resources, expediting handling, and enhancing decision making.
• Collaborate with business leaders and partners to understand their short and long-term goals. Lead the development, alignment and execution on the AI strategy and multi-year roadmap to meet those goals.
• Identify modern AI and data capabilities to achieve business priorities and collaborate with technology, data and business partners to embed these capabilities within end-user technology and business processes.
• Manage the processes used to develop and enhance models, deeply embedded in the scaled agile framework of the Claims business unit.
• Serve as a member of Claim extended senior leadership team and provide thought leadership inside and outside the data science and analytics space.
• Hire, train and develop staff and effectively calibrate the approach to staffing, including budget management.
• Partner with technology, data, AI platform, AI/MLOps and Architecture teams to influence technology integration, data and platform strategy, tooling, standard work and reusable capabilities.
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources. Stay current on industry trends as well as state-of-the-art data, analytic, modeling and AI techniques.
• Applies quantitative skills to solve business issues and communicates results to appropriate business area.

Qualifications

• Bachelors Degree (Master's or Ph.D a plus) in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics or other similar analytical field.
• 10+ years of relevant experience in Data Science or AI function in Insurance, Financial Services or related field.
• 8+ years directing a technical team, setting priorities and plans to meet business goals and objectives.
• Subject matter expertise required in Machine Learning, Generative AI, Agentic AI, and model lifecycle management.
• Proficiency in responsible AI practices, model risk management, governance frameworks, regulations.
• Strong strategic thinking and exceptional analytical capability, along with business acumen to translate complex technical topics into business solutions.
• Exceptional verbal/written communication skills; Must be able to communicate effectively at all levels across the organization.
• Demonstrated track record of executing change to core business processes through the innovative use of quantitative techniques.
• Advanced negotiating, influencing, and conflict resolution skills at all organizational levels, builds effective relationships with internal partners.
• Innovative and seeks new and creative ways to approach analytical exercises and development projects.
• Results-oriented with a sense of urgency and accountability for business issues.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$225,600 - $338,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Enterprise Data Services department’s IT team supporting Global specialty is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. We are looking for a talented professional with a proven track record of engineering the ELT development and integration using Snowflake.  Our ideal candidate will leverage deep technical expertise and problem-solving skills to deliver invest, maintenance and enhancement projects within the Data & Analytics Value stream.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Role Description:

The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models,  strong understanding of data architecture, principles of ETL and Data Warehousing. Responsibilities will also include technical delivery review, resolution of architecture issues in AWS Snowflake platform.

Responsibilities:

• Demonstrate Technical leadership and expertise in Snowflake’s cloud native architecture.
  Implement and leverage Materialized views, Data Sharing, Clone Feature and Performed Dynamic data Masking.
• Have a solid understanding of delivery methodology(SDLC) and lead teams in the implementation of the solution according to the design/architecture.
• Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps.
• Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design.
• Coordinate as needed between multiple disciplines such as, Architects, Business Analysts, Scrum Masters, and Developers to get technical clarity leading to design, develop and implementation of business solution.
• Oversight of quality and completeness of detailed technical specifications, solution designs, and code reviews as well as adherence to the non-functional requirements.
• Experience in delivering technical solutions in an iterative, agile environment (Scrum/Kanban)
  Participate as active agile team member to help drive feature refinement, user story completion, code review, etc.
• Identify, document, and communicate technical risks, issues and alternative technical solutions discovered during project.
• Collaboration with a high-performing, forward-focused team, Release train engineer, Product Owner(s) and Business stakeholders.
• Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business.
• Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs.

Qualifications & Key Skills:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• 5+ years in Snowflake data warehousing, data pipelines and automation.
• 5+ years of hands-on experience in Datawarehouse and Data Integration(ELT/ETL)
• 3 + years in Cloud Data modernization (Ingestion, Curation, Data Domains, Data Products).
• Experience working with Data Lakes loading disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data.
• Ability to create, troubleshoot, enhance complex code in Snowflake Data Lakes/Data hubs/data warehouses.
• Experience in building data pipelines using cloud native ELT tools and automation of data ingestion including change data capture (CDC).
• Hands on experience with Snow SQL, Stored Procedures, UDF’s using JavaScript, SnowPipe and other snowflake utilities.
• Experience with Data Governance (Catalog, Quality, Lineage).
• Strong data warehouse applications knowledge in preferably in financial/insurance domain is required.
• Experience with version control tools , CI/CD pipeline and DevOps tools like GitHub , Jenkins nexus and uDeploy.
• Knowledge of Data Profiling, Data Modeling and Database design is key to this role.

Preferred Qualification and Skills:

• SnowPro Core certified.
• AI Certifications
• Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
• Hands-on experience with Data Visualization (preferably Tableau).
• Experience in the Insurance industry.
• Experience with Artificial Intelligence.
• Experience with Informatica Data management cloud.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$135,040 - $202,560

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us!  Apply now to be part of our innovative journey and make a significant impact!

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Primary Job Responsibilities

• AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
• Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
• Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions.
• Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems.
• Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe.
• Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc
• Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.
• Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.
• Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.
• Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.
• Develop graph database solution for complex data relationships supporting AI systems.
• Apply GenAI solutions to insurance-specific data use cases and challenges.
• Partner with architects and stakeholders to influence and implement the vision of the AI and data  pipelines while safeguarding the integrity and scalability of the environment.

Skills

• Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions)
• Able to communicate effectively with both technical and non-technical teams and influence
• Collaboration across teams, decision making, conflict resolution and relationship building skills.
• Experience in mentoring and developing Junior AI or Data Engineers.
• Knowledge of evolving industry design patterns for AI.
• Strong planning, organization, and execution skills.
• Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities.
• Ability to understand and align deliverables to the departmental and organization strategies and objectives.
• Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
• Leader and team player with a transformation mindset.
• Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution.

Qualifications

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Bachelor's in Computer Science, Artificial Intelligence, or a related field.
• 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric.
• 1+ years of data engineering experience focused on supporting Generative AI technologies
• Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.
• Experience with prompt engineering techniques for large language models.
• Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
• Experience of vector databases and graph databases, including implementation and optimization.
• Experience in processing and leveraging unstructured data for GenAI applications.
• Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Lang chain, Langgraph).
• Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with building AI pipelines that bring together structured, semi-structured and unstructured data.  This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.
• Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).
• Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.
• Experience with cloud platforms (AWS or GCP or Azure)
• Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders.

Preferred Qualifications:

• Experience in multi cloud hybrid AI solutions.
• AI Certifications
• Experience in P&C industry
• Knowledge of natural language processing (NLP) and computer vision technologies.
• Contributions to open-source AI projects or research publications in the field of Generative AI.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$135,040 - $202,560

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Application Dev Consultant - 87ID5E

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

As Hartford Funds continues to leverage offshore data engineering talent to optimize costs and scale delivery, it is critical to establish a Senior ETL Developer role to ensure technical excellence, operational efficiency, and adherence to corporate standards. This role will be hands-on, directly contributing to development while also collaborating with offshore resources to ensure standards.

This role requires a strong foundation in SQL, ETL processes, and cloud data platforms, along with a proactive mindset for identifying and resolving data bottlenecks and inefficiencies.

Responsibilities:

• Project Execution
• The senior ETL developer should be able to translate business requirements into technical specifications.
• Ensure timely and high-quality execution of data projects.
• Design, build, and maintain scalable data pipelines and ETL processes.
• Develop and optimize data models for analytics and reporting.
• Stay current with emerging technologies and recommend adoption where appropriate.
• Conduct code reviews, enforce best practices, and ensure adherence to corporate standards.
• Collaboration & Advisory
• Partner with data operation engineer, system analysts, and data architect to design scalable data solutions.
• Provide guidance on best practices for data architecture, storage, and processing.
• Contribute to documentation, standards, and knowledge sharing across the team.

Qualifications:

Required

• Bachelor’s or master’s degree in computer science, Data Engineering, or related field
• 5+ years of experience in ETL development
• Experience managing offshore or distributed teams is strongly preferred
• Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Matillion, Informatica, custom Python scripts)
• Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
• Knowledge of CI/CD practices and version control (e.g., Git)
• Strong understanding of ETL/ELT processes, data warehousing, and data modeling
• Strong problem-solving skills and a proactive approach to identifying and resolving issues
• Excellent communication skills to manage cross-functional and cross-cultural teams

Preferred

• Knowledge of Python or other scripting languages for automation
• Familiarity with monitoring tools
• Experience working in Agile or DevOps environments

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$100,000 - $140,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Application Dev Consultant - 87ID5E

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Hartford Funds is seeking a highly skilled and reliable Data Operations & Database Engineer to join our data team. This individual will be responsible for ensuring the smooth operation, deployment, and optimization of data pipelines and database systems. They will serve as a trusted advisor to data engineers and architects, contributing to the design and implementation of scalable, efficient, and secure data solutions.

This role requires a strong foundation in SQL, ETL processes, and cloud data platforms, along with a proactive mindset for identifying and resolving data bottlenecks and inefficiencies.

Responsibilities:

• Data Operations
• Design and monitor robust ETL/ELT pipelines.
• Monitor data quality, pipeline health, and system performance.
• Troubleshoot and resolve data processing issues quickly and effectively.
• Database Administration
• Manage and optimize databases.
• Ensure high availability, backup, and disaster recovery strategies.
• Implement and maintain security policies, access controls, and auditing.
• Perform performance tuning, indexing, and query optimization.
• Support schema design and data modeling efforts.
• Executing ad-hoc data cleanup and corrections.
• Collaboration & Advisory
• Partner with data engineers, analysts, and architects to design scalable data solutions.
• Provide guidance on best practices for data architecture, storage, and processing.
• Identify and resolve data infrastructure bottlenecks and inefficiencies.
• Contribute to documentation, standards, and knowledge sharing across the team.

Qualifications:

Required

• 7+ years of experience in data engineering, database administration, or related roles.
• Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Informatica, custom Python scripts)
• Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
• Familiarity with CI/CD tools (e.g., GitHub Actions, Azure DevOps) and workflow orchestration (e.g., Airflow, Talend)
• Solid understanding of data modeling, data governance, and security best practices
• Strong problem-solving skills and a proactive approach to identifying and resolving issues

Preferred

• Knowledge of Python or other scripting languages for automation
• Familiarity with monitoring tools
• Experience working in Agile or DevOps environments

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$120,000 - $160,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Senior IT Engineer – Full Stack Developer

Join the Digital Enablement Value Stream team as a Senior IT Engineer (Full Stack Developer). In this strategic role, you’ll be at the forefront of our modernization initiative, leading the transformation of our legacy portfolio of customer communication services onto AWS and industry leading platforms. You’ll collaborate with architects, product owners, and cross-functional teams to deliver innovative, scalable, and cloud-native enterprise solutions that enhance customer engagement and operational efficiency.

Key Responsibilities

• Lead the design, development, and deployment of full stack solutions for customer communications, focusing on AWS cloud-native architectures.
• Architect and implement RESTful APIs, microservices, and event-driven solutions to replace legacy systems.
• Collaborate with business stakeholders to translate requirements into modern technical solutions that drive customer engagement.
• Ensure code quality through rigorous reviews, test-driven development, and continuous integration practices.
• Mentor junior engineers and foster a culture of technical excellence and innovation.
• Drive adoption of GenAI tools, automation, and DevOps best practices to accelerate modernization.
• Maintain application stability, security, and performance in a fast-paced, cloud-first environment.

Required Skills & Qualifications

• 7+ years of hands-on experience in full stack software development, including cloud migration and modernization projects.
• Strong experience in Java (Spring Boot), JavaScript/TypeScript, Python, and front-end frameworks (Angular/React).
• Strong experience with AWS cloud services (Lambda, ECS, EKS, RDS, S3, IAM, SNS, SQS, EventBridge) and cloud-native architecture.
• Expertise in designing and consuming REST/SOAP APIs, microservices, and integrating with vendor systems.
• Solid understanding of relational databases (SQL Server, Oracle).
• Experience with DevOps tools (GitHub, Jenkins, Docker, Terraform, Rally, SonarQube).
• Familiarity with Agile/Scrum methodologies.
• Excellent technical leadership, analytical, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).

Preferred Qualifications

• Experience with Infrastructure as Code (CloudFormation, Terraform, CDK).
• Experience with customer communications platforms and modernization initiatives.
• Exposure to industry communications platforms (OpenText, SmartCOMM, Quadient).
• Experience leveraging GenAI tools (GitHub Copilot, prompt-based dev tools).
• Advanced degree or certifications in cloud, AI, or related technologies.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$126,160 - $189,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Principal Reliability Engineering - IE06JE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Enterprise Data Services (EDS) organization is seeking a Principal Reliability Engineer (Principal RE) to serve as the senior technical authority responsible for the reliability, resilience, availability, and performance of all data platforms, cloud infrastructure, data products, and data pipelines across the enterprise data organization. This role sets the strategic vision for Reliability Engineering within EDS and leads the definition, implementation, and continuous evolution of RE practices, tooling, automation, observability frameworks, and AIOps/AI‑driven operations.

As the Principal RE, you will influence architectural direction, lead large‑scale, cross‑organizational technical initiatives, and drive a culture of engineering excellence, automation‑first operations, and proactive reliability improvement. You will partner closely with platform engineering, data engineering, security, architecture, and product teams to embed RE principles into every stage of the data product lifecycle.

This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday)  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.

​Key Responsibilities

Enterprise Reliability Strategy & Leadership

• Work closely with the AVP, RE & Production Support, EDS defining the Reliability Engineering strategy for data platforms, data cloud environments, and data products.
• Establish long‑term RE roadmaps, target operating models, and architectural patterns that scale with organizational growth.
• Serve as the highest‑level technical escalation point for systemic reliability issues, influencing executive stakeholders and engineering leaders.

Platform & Cloud Reliability (AWS, GCP, Snowflake, EMR, Hadoop, ETL/ELT)

• Leverage Enterprise provided standards and building blocks to Architect and evolve highly reliable, performant, and cost‑efficient cloud‑based platforms across AWS and GCP for all EDS services.
• Influence and work directly with Platform Solution Architecture on new product enablement, hyper automation (end to end blueprint automation).
• Oversee reliability controls and fail‑safe patterns for Snowflake, EMR, Hadoop/Spark clusters, container platforms (e.g., Kubernetes), and mission‑critical data systems.
• Lead the creation and enforcement of SLO/SLI frameworks that span the entire data lifecycle.

AI‑Enabled Operations, AIOps & Intelligent Automation

• Develop and implement AI‑driven automation for anomaly detection, alert correlation, autonomous remediation, and predictive capacity management.
• Leverage LLMs, prompt engineering, and cloud‑native AI services (AWS Bedrock, SageMaker, Vertex AI) to build intelligent runbooks, advanced troubleshooting agents, and generative‑AI‑enabled operational tooling.
• Champion the adoption of machine learning–based observability and reliability analytics.

End‑to‑End Observability & Operational Excellence

• Adopt and architect enterprise‑wide data observability frameworks—including logging, metrics, tracing, distributed profiling, and event pipelines—for all data platforms and pipelines.
• Establish gold‑standard incident response patterns, post‑incident reviews, and continuous improvement processes.
• Drive elimination of toil across EDS, focusing on self‑healing systems, proactive detection, and autonomous operations.

Data Pipeline & Data Product Reliability

• Define RE best practices for modern data products, governed data pipelines, real‑time/streaming systems, and operational analytics platforms.
• Ensure data quality, data timeliness, and SLAs for data products through automated checks, lineage-informed alerting, and pipeline reliability tooling.
• Partner with Data Engineering to embed resilience patterns (idempotency, checkpointing, replayability, disaster recovery) into pipeline architectures.

Engineering Standards, Governance & Cross‑Org Influence

• Set and enforce standards for IaC, CI/CD, platform automation, reliability frameworks, operational readiness, and runbook quality across EDS.
• Provide technical leadership and mentorship to Staff/Senior Engineers in the RE team and Production Support teams, influencing engineering culture and helping grow RE capabilities across the organization.
• Represent Reliability Engineering in architectural reviews, enterprise governance forums, and executive‑level discussions.

Technical Experience

• 10+ years in one or more of the following areas: data, cloud, platform engineering, site/reliability engineering, or large‑scale distributed systems, with experience in leadership or technology leader roles.
• Proficiency with data or cloud platforms, including architectural patterns for resilience, networking, security, and distributed data infrastructure.
• Deep experience supporting or engineering platforms such as Snowflake, EMR, Hadoop/Spark, Data Integration, and cloud‑native data ecosystems.
• Scripting and programming (preferably Python) for large‑scale automation, platform tooling, and reliability frameworks.
• Experience with Infrastructure‑as‑Code (Terraform, CloudFormation) and enterprise CI/CD.

Preferred Qualifications

• Experience in regulated or highly complex enterprise environments (financial services, insurance, healthcare).
• Prior experience as a Senior Staff Engineer, Engineering or Architecture leader with hands on experience, or similar senior technical role.
• Knowledge of data governance, metadata, lineage systems, and data quality engineering practices.
• Certifications in AWS, GCP, Kubernetes, or SRE/DevOps frameworks.

AI & AIOps

• Background applying machine learning to operations—anomaly detection, event correlation, predictive modeling, and automated remediation.
• Understand of AI‑enabled developer/operations tools using LLMs, prompt engineering, or cloud AI services for reliability improvements.

Observability & Platform Operations

• Expertise with enterprise observability stacks (Prometheus, Grafana, Datadog, Splunk, Dynatrace, OpenTelemetry).
• Ability to design and enforce advanced SLI/SLO frameworks across complex data ecosystems.

Leadership & Cross‑Functional Influence

• Demonstrated ability to lead technical strategy at scale, influence senior engineering leaders, and set enterprise‑wide standards.
• Strong capability in mentoring engineers, providing architectural guidance, and fostering engineering excellence.
• Exceptional communication skills for interacting with executives, senior architects, product leaders, and engineering teams.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$152,800 - $229,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Analyst SDET - QI07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact everyday & not only at work, but in your personal life and community too. If that sounds like you, then you have landed in the right place.

Employee Benefits Quality Engineering is undergoing a huge transformation, and we are looking to change the way we do testing. The Employee Benefits Quality Engineering team is architecting and designing the quality ecosystem for the AI, Data, Analytics and Service Platforms. As a Senior Quality Engineer, you will play a pivotal role to establish frameworks for automated testing, Service virtualization, Enterprise data and data quality assurance in addition to helping the organization move towards Continuous testing practices. The individual will work with multiple vendors, IT leaders, and business teams to align automation priorities with IT strategies. Champion the usage and adoption of automated testing and related tools (in-house and new external tools) across the organization. Help defining quality engineering standards, best practices, provide technical recommendations to continuously improve testing efficiencies, mentor the scrum QA teams to adopt defined practices, and report KPIs. Partner with the Scrum Masters, Software Engineers and other QA Leads to increase test coverage and optimize automated test executions time to achieve faster release readiness, support post implementation reviews, driving for root cause to improve test processes and key quality metrics.

Responsibilities:

· Accountable for overall test planning and test execution of the assigned Scrum and Platform teams for Digital applications.

· Work with multiple vendors, IT leaders, and business teams to align automated testing priorities with IT strategies.

· Design, develop, review and maintain test artifacts – test cases, frameworks, code library, common capabilities, etc. adhering to the software engineering best practices and meet expected quality standards.

· Develop automated Test Data Management capabilities across the program ecosystem.

· Provide solutions to shift-left NFR testing – performance, security and accessibility for external facing digital applications.

· Identify industry accepted tools and technology for implementation that align with business goals, application landscape and cloud first approach.

· Contribute to the quality engineering activities throughout every phase of the SDLC requirements, design, development, and testing.

· Lead initiatives for Performance testing and Security testing to build quality into the product.

· Provide technical leadership to Scrum QA engineers to adopt shift left approach in testing.

· Lead and implement End to End Quality Gating integrated with the Continuous deployment and Continuous testing process.

· Ability to understand release needs and determine test data and environment needs.

· Experience in using Analytics to identify patterns/create predictive models for day-to-day use cases.

· Be passionate about new technologies and help bring in outside- in view to teams on the ground to drive transformation leveraging Gen AI capabilities.

· Plan bug bashes and provide support to business partners during UAT planning, execution.

· Collaborate with other stake holders like Product Owners, Scrum Masters, Software Engineers and other QA engineers to improve the testing infrastructure and mature the Continuous Testing practices.

· Evaluate efficiency of existing QA practice and recommend for improvements.

· Display critical thinking skills by identifying and resolving risks and issues in proactive manner.

Qualifications:

· Must be authorized to work in the U.S.

· BS in Computer Science or equivalent experience

· 5 + years of experience in Quality Engineering

· 3+ years of experience in leading Quality engineering teams

· Experience with programing language – Java, JavaScript /Typescript, Python

· Experience with Test automation tools –Playwright, Karate, BDD, Selenium, Blazemeter/JMeter, Test Data Management tool

· Experience with DevOps and RE tools chain like Sonar, Nexus, Jenkins, Git, Splunk, Dynatrace

· Experience with cross browser testing – Browser stack, Selenium Grid, OpenShift

· Experience with Gen AI – GitHub Copilot, and Model Context Protocol (Playwright, GitHub)

· Strong experience in risk-based approach for implementing End to End test strategies

· Knowledge of Agile Scrum/SAFE methodology

· Effectively use collaboration tools like Rally/Jira

Nice to Have:

· Experience with AppScan, Checkmarx, CA DevTest

· Experience with any of the reporting tools – Extent, Allure, Report portal, Tableau

· Insurance & Financial services domain knowledge

· Knowledge of AWS cloud technology – Code Build, Code Pipeline, Containers

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$103,200 - $154,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Principal Software Engineer - IE06GE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

What We’re Building

The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence.

This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.

Main Job Functions

• Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.

• Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.

• Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.

• Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.

• Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.

• Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.

REQUIREMENTS:

• Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs.  Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.

Technical Expertise: 

• Deep knowledge of GCP, AWS, and multi-cloud ecosystems.

• VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience

• Experience with AgenticAI frameworks

• Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.

• Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.

• GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).

• Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.

• Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).

• Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance.

• Preferred: Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).

Why Join Us?

• Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology.

• Shape the future of data-driven decision-making for all business units at The Hartford.

• Collaborate with top talent in a culture that values innovation, growth, and technical excellence.

• Enjoy opportunities for professional development, mentorship, and career advancement.

Ready to architect the future of AI and data at The Hartford? Apply now and help us build a platform that will power the entire enterprise!

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$168,400 - $252,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Data Scientist - GD08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Step into the future with The Hartford as an Agentic AI Data Scientist, where Generative AI isn't just a buzzword—it's central to our strategy. Join a team that's pioneering AI-driven solutions in underwriting, claims processing, and customer service, transforming how we operate and make decisions. As part of our Global Specialty Data Science & Analytics team, you'll tackle advanced use cases and shape the development of Gen AI capabilities across the organization. Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you.

We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

Responsibilities:

• Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
• Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
• Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
• Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
• Apply AI techniques to low frequency, high severity exposures in Specialty Insurance.
• Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit,  LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Research and recommend noval foundation model options, tools, and libraries to improve solutions in performance and reliability.
• Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods.
• Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.

Qualifications:

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field.
• 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• Experience developing and deploying agentic AI workflows and systems.
• Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, etc.
• Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.
• Strong analytical, problem solving and debugging skills.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $135,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Software Engineering - IE07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Group Benefits IT Team is seeking a highly motivated, experienced IT Leader who is responsible for leading engineering teams to successfully drive the transformation of our application landscape.  The Software Engineering Manager will have end-to-end accountabilities in IT Operations across the application portfolio.

Successful candidates will be expected to demonstrate strong leadership skills, excellent partnership with stakeholders and partner teams, solid technical acumen, experience in delivering quality technical solutions as well as setting and executing on a strategic technical vision to ensure the systems are stable, performant, and secure.

Responsibilities:

• Manage a team of software engineers
• Function as the go-to technical leader for the software applications supported, requiring depth and breadth of knowledge in technologies, applications, integration, interfaces and business domain
• Serve as key liaison between the architecture and technical delivery teams to influence the technical strategy for the organization, keeping in mind its cross functional impacts, integration across the organization, and architecture rationalization.
• Collaboration with teams to identify opportunities for integration across tools used in the life cycle, including agile, test automation, platform configuration management, and drive efficiencies.
• Ability to provide concise, transparent communications about potential risks, mitigations and business impacts in a timely manner.
• Hires, trains, and develops talent for growth opportunities; monitors team/individual’s morale and engagement to maintain highly effective and collaborative environments.
• Ability to understand technology trade off risks and rewards for the best customer value delivery.
• Challenges teams for continuous improvement ideas and supports the team for implementation.
• Takes ownership to drive innovation for effectively leveraging technology to solve the customer problem.
• Oversee technical deliverables, coaching and mentoring of software engineers and provide technical leadership for same; enforcing development guidelines and best practices. Foster an environment of experimentation and continual improvement through regular Innovation Sprints, technical debt reduction and a forward-thinking architectural runway.
• Experience in building and advocating RESTful services, API design best practices, distributed systems, micro services architecture and other architectural patterns.
• Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment
• Work closely with stakeholders to design and document solutions that align with the business needs and are consistent with the architectural vision

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• 10+ years of experience in application software solution development along with managing software engineering teams.
• Strategic planning, process analysis and execution skills for introducing evolving architecture based solutions like cloud-based technologies (AWS), SaaS, and open source frameworks.
• Hands-on experience with Java and J2EE technologies, such as, Java Web Services, JMS, JSP, XML, JSON, JDBC etc.
• Experience with Web Services (SOAP and Rest).
• Experience with containerization and experience in cloud infrastructure environments like Open Shift AWS.
• Experience working in the security domain a plus.
• Experience with Oracle and SQL Server relational database technologies. Knowledge of open-source database technologies is beneficial
• Experience with continuous integration and DevOps methodologies, preferred tools such as GitHub, Jenkins, Rally, SonarQube etc.
• Ability to write and review well-abstracted, reusable code for all backend components.
• Contribute to the code base and ensure code and processes adhere to clean code practices and industry best practices.
• Experience working in an Agile or SAFe development environment
• Superior organization skills with the ability to simultaneously handle multiple projects and priorities in a fast-paced environment
• Excellent verbal and written communication skills including the ability to present confidently before a large audience
• Excellent analytical, problem solving and interpersonal skills

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$133,200 - $199,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Application Dev Analyst - 87ID6E

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Hartford Funds is seeking a business‑focused, problem‑solving technologist to join our Application Development team. This role is intentionally designed to be flexible, enabling you to contribute to our most strategic and high‑impact initiatives across the organization.

You will split your time between two critical areas:

• Data Engineering (SQL‑based ingestion and transformation for our data warehouse)
• Rapid development of highly tailored automation tools using Vibe coding and AI‑assisted delivery

This position is ideal for someone who enjoys variety, can quickly understand business needs, and is motivated to deliver efficient, fit‑for‑purpose solutions—ranging from lightweight bespoke applications built in hours, to more traditional SQL‑driven data engineering assignments. Strong communication and teamwork are essential as you will collaborate closely with business analysts, the Data & Analytics team, and project managers.

Key Responsibilities

• Develop and maintain SQL‑based data ingestion, transformation, and optimization processes for the enterprise data warehouse.
• Build, enhance, and support a high volume of lightweight, business‑specific automation tools using Vibe coding and AI‑assisted development practices.
• Conduct data profiling, source‑to‑target mapping, and ETL/Python development.
• Perform performance tuning, troubleshooting, and debugging across SQL, Python, and lightweight applications.
• Provide both business and technical analysis for data‑centric and automation‑focused initiatives.
• Contribute to data modeling, warehouse design discussions, and documentation.
• Deliver solutions in a fast‑paced, iterative environment, balancing speed with quality and reliability.

Required Skills & Experience

• 3+ years developing solutions centered on data integration, SQL, and Python.
• Advanced SQL proficiency and demonstrated experience with SQL‑based databases (Snowflake a plus).
• Strong Python skills, including automation and data ingestion patterns.
• Experience using AI‑powered development tools (e.g., Copilot) to accelerate creation of bespoke applications.
• Familiarity with scripting (PowerShell, etc.) and integration methods (flat files, APIs/web services).
• Understanding of data modeling concepts (ER diagrams, normalization) and data warehousing concepts (star schema, dimensional modeling).
• Strong problem‑solving skills and the ability to analyze business context to design optimal solutions.
• Experience writing clear technical documentation.
• Comfortable delivering high‑impact work in a fast‑moving environment.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$85,000 - $110,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Cloud Engineer - IE07NE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is seeking a seasoned SRE with Big Data experience to join our Cloud Big Data Platform Engineering & Operations team. This role is instrumental in fostering a customer-first mindset and ensuring the stability, scalability, and reliability of our data platforms to support the evolving needs of Data & Analytics applications across the enterprise.

As a technical lead, you will apply your deep expertise in AWS Big Data/EMR infrastructure, Infrastructure as Code (IaC), security, automation and observability to engineer, optimize, and maintain robust, scalable solutions. You will collaborate closely with data engineers to analyze requirements & challenges to recommend platform-driven solutions that maximize performance and efficiency.

We’re looking for a passionate technologist who thrives in a dynamic, fast-paced environment and is committed to building resilient, future-ready data platforms. You will mentor and guide fellow platform and reliability engineers, promoting a culture of technical excellence, innovation, and collaboration.

RESPONSIBILITIES

• Administer and engineer Big Data platforms across multiple Hadoop clusters in the cloud (AWS EMR), including serverless and containerized environments, to ensure scalability, performance, and reliability.

• Design, implement and maintain highly scalable and resilient multi-tenant Data Platforms through Infrastructure as Code (IAC) aligning with The Hartford’s engineering, security and governance principles

• Ensure operational excellence, independently drive the triaging and service restoration of all high impact incidents to minimize the mean time to service restoration and impact to the business. Demonstrate end to end ownership

• Apply Site Reliability Engineering (SRE) principles to design and implement robust tooling, proactive alerting, and automated response mechanisms that identify, mitigate, and resolve reliability risks—focusing on prevention, early detection, and continuous improvement through automation.

• Own and evolve the architecture of Platform, PaaS, and SaaS solutions to meet current and future business need-driving innovation, scalability, and operational excellence.

• Participate in an on-call rotation, providing hands-on technical expertise during service-impacting incidents to ensure rapid diagnosis, effective resolution, and continuous improvement of system reliability.

• Evaluate, implement, and manage emerging data technologies with a focus on big data, analytics, data wrangling, business intelligence, and data visualization to drive innovation and efficiency.

• Serve as a subject matter expert and technical lead for data platforms, tools, and application interfaces - driving root cause analysis, resolving complex technical issues, and ensuring platform reliability and performance.

• Provide technical leadership and mentorship to junior and mid-level data engineers, fostering skill development and promoting engineering best practices.

• Collaborate with and empower data engineers, data scientists, and business analysts by enabling self-service capabilities for data wrangling, exploration, and analysis

• Develop training materials and deliver end-user training sessions to drive adoption, ensure effective use of data solutions, and enhance customer engagement.

• Support the documentation, metadata management, and visualization of data assets to promote data discoverability, transparency, and self-service analytics.

• Foster a culture of accountability and collaboration by building strong team commitment to shared priorities and strategic goals.

QUALIFICATIONS

• Bachelor's degree in computer science, Computer Engineering, or a closely related field (or foreign equivalent). Relevant experience may be obtained through a qualifying post-baccalaureate academic program.

• Extensive expertise in platform administration, big data technologies, data engineering, analytics, and operations.

• Proficiency in a broad range of tools and concepts including Hadoop, Linux, Python, SQL, Spark, Kerberos, cloud platforms, security protocols, performance tuning, machine learning algorithms, production engineering, job scheduling, and operational support

• At least 7 years of progressive and diverse experience in IT, platform administration, database management, analytics or an equivalent combination of education and work experience

• At least 3 years of hands-on engineering experience in developing platform solutions on AWS using Infrastructure as Code (CloudFormation, Terraform, Ansible) and CICD pipelines (Jenkins, Nexus, AWS CodeBuild, CodeDeploy or CodePipeline).

• At least 3 years of experience providing architectural guidance and technical direction to developers, or platform administrators

• Knowledge in data engineering, with exposure to designing and building data applications using database platforms.

• Responsibilities should include data ingestion, data preparation, ETL processes, data aggregation, data mining, and the development of database and analytics applications

• Experience in managing change through Change Management and Incident Management processes

• Experience in implementing Reliability Engineering practices and Observability dashboards leveraging Splunk, Dynatrace, CloudWatch etc. will be a plus

• Ability to learn new technologies quickly, and perform major job responsibilities proficiently within 6-12 months

• Strong analytical ability, problem analysis techniques, and broad knowledge of alternatives technology

• Strong communication skills, and the ability to work effectively with business and IT resources

PREFERRED SKILLS

• Advanced experience in primary AWS services (EMR, EKS, EC2, IAM, RDS, Route53 & S3, etc)

• Experience in Configuration management using CloudFormation / Terraform.

• Advanced experience with programming and/or scripting languages (Python, bash)

• Preferred to have “AWS Solution Architect Certification”.

• Preferred to have “Cloudera Admin Certification”.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$136,000 - $204,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Data Scientist - GD07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Actuarial Strategic Modeling (ASM) organization is seeking a Senior Data Scientist to strengthen analytical and modeling capabilities supporting pricing, segmentation, underwriting strategies, and portfolio insights within Business insurance.

What You Will Do

Model Development & Analytics

• Contribute and lead key phases of end-to-end model development including problem definition, data exploration, model development, validation, and monitoring.

• Engage in the development and enhancement of predictive models — while thoughtfully assessing alternative approaches and techniques to support loss, territory/Geography, and emerging claim level modeling needs.

• Partner with Data Engineering and MLOps teams to support deployment and monitoring.

Cross-Functional Collaboration

• Partner with Actuarial, Underwriting, Product, Data Engineering, and Governance teams to align modeling work with business strategies.

• Communicate findings clearly to technical and non-technical audiences.

Innovation & Modernization

• Explore new modeling methods, data sources, and tools.

• Contribute to shared modeling frameworks and best practices.

Technical Leadership & Mentorship

• Provide peer learning, code reviews, and technical guidance.

• Support continuous improvement of modeling standards.

Qualifications

Required

• 5+ years experience developing statistical or ML models.

• Master’s/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field.

• Strong Python and SQL skills; experience with Git and cloud ML environments.

• Ability to collaborate across functions and communicate insights effectively.

Preferred

• Insurance analytics experience.

• Familiarity with model governance and monitoring.

• Experience with Agile delivery or MLOps pipelines.

• Ability to mentor and support the development of Data Science and Actuarial peers.

Why Join Us?

• Engage in high-visibility enterprise modeling initiatives.

• Work with modern analytical tools, ML, and generative AI.

• Work at the intersection of Data Science and Actuarial Science, partnering closely with diverse technical and business teams.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$110,720 - $166,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Manager Data Engineering - GE07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Enterprise Data Services Department’s Employee Benefits team is looking for a skilled Data Engineering Manager to join us. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. You will have an opportunity to engage in enabling well architected cloud-based data solutions for data and analytics in support of BI, Actuarial, Data Science, Finance, Operations and other key Data Consumers.  o succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.  

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Primary Job Responsibilities

• This is a hands-on leadership role.
• Manage and mentor team of data engineers.
• Data Modernization: Implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI.  Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
• Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders.
• AI Data Engineering lead responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
• Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
• Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.
• Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
• Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.
• Leadership: Build, mentor, and lead a high-performing team including business data analysts and data engineers.
• Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
• Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
• Budget Management: Effectively manage the budget and financials for the portfolio.
• Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.

Qualifications:

• Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
• 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric.
• Specialized data engineering experience focused on supporting Generative AI technologies.
• Strong hands-on experience implementing production ready enterprise grade AI data solutions.
• Experience with prompt engineering techniques for large language models.
• Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
• Experience of vector databases and graph databases, including implementation and optimization.
• Experience in processing and leveraging unstructured data for AI applications.
• Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph).
• Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with building AI pipelines that bring together structured, semi-structured and unstructured data.  This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.
• Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).
• Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
• Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders.

Preferred Qualifications:

• Experience in multi cloud hybrid AI solutions.
• AI Certifications
• Experience in P&C or Employee Benefits industry
• Knowledge of natural language processing (NLP) and computer vision technologies.
• Contributions to open-source AI projects or research publications in the field of Generative AI.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$127,200 - $190,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Exec Tech Cons Risk Eng - KR07FE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

This position will be responsible for the development and deployment of Risk Engineering specialized practices for the Technology and Cyber Liability Line of Business, encompassing both cybersecurity and technology risk disciplines. This includes but is not limited to strategic planning, resource management, technical support, evaluation, and business development. The role may require future managerial duties for a staff of dedicated specialized Risk Engineering Consultants. Completion of field and virtual survey work on insured operations that demand the advanced technical skillsets will also be required. Identification of Risk Engineering recommendations, solutions, and opportunities for impactful service delivery will be a key skillset for this position.​

Our ideal candidate:

• A cybersecurity and technology risk leader with a passion for helping businesses reduce risk.
• A strong communicator who can translate complex technical concepts into practical advice.
• A mentor who enjoys developing others and building high-performing teams.
• Someone who thrives in a collaborative, cross-functional environment.

Responsibilities:

The Manager Technology & Cyber Risk Engineering must drive the following business activities that support the needs of the organization.

Responsibilities may include:

• Technical Acumen – Demonstrated expertise in Technology Risk, Cyber Security, and related liability disciplines, with strong knowledge of core cyber and technology insurance coverages and perils. Responsible for managing the Cyber & Technology Liability line for all Risk Engineering services, including training, collateral development, and technical support for internal partners and external customers. Must maintain up‑to‑date knowledge of industry best practices in cybersecurity, IT resilience, cloud risk, and liability risk transfer.

• Risk Engineering Staff Development – Strengthen Technology and Cyber expertise across Risk Services by providing technical leadership and support to Risk Engineering Consultants. Serve as the subject matter expert through continued professional development and deliver training, mentoring, and technical guidance aligned with Underwriting needs. Assess, develop, and maintain technical content and resource materials. Support partners including Underwriting, Claims, Agents, and Insureds. Complete field surveys for the largest and most complex accounts when needed. Assist Underwriting sales initiatives, including attendance and support at sales presentations.

• Segment Liaison – Regularly communicate and collaborate with Cyber and Technology business partners and vendors to create a strong and credible relationship. Communicate information to Risk Services to ensure that they understand and act upon key initiatives and objectives.

• Training – Develop and implement key training initiatives for all products and services required by Technology and Cyber business partners. Enhance current state including technical manuals, training materials, and overall field support to develop and maintain technical information as required.  Work in conjunction with the Training Director to elevate training programs across disciplines.

• Other (when applicable) i.e. Technical Resource, Special Projects, etc.- Plan, organize, and manage resources to bring about the successful completion of specific project goals and objectives. Develop, implement, and evaluate project plan(s) for special projects as assigned. Monitor progress and take corrective action when necessary.

Qualifications:

• Bachelor or Master degree in Cybersecurity, Information Technology, Risk Management, or a related field.
• 10+ years of experience in cybersecurity and/or technology risk management, preferably within the insurance or financial services industry.
• Professional certifications such as CISSP, CISM, CRISC, or CPCU with a cyber or technology risk focus.
• Familiarity with insurance operations, policy administration systems, and regulatory compliance.
• Strong analytical, communication, and stakeholder management skills.
• Strong communication and consultative skills, with the ability to translate technical findings into actionable insights.
• This role can have a Hybrid or Remote work schedule.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).Candidates who do not live near an office will have a remote work schedule, with the expectation of coming into an office as business needs arise. ​

Risk Assessment: Must have a high degree of knowledge and skill to handle complex situations arising from new and renewal business submissions. Will work with large complex accounts to assess exposures and controls and provide underwriters and agents with direction to improve account conditions and lessen financial exposure.  Must identify new service opportunities or additional exposures to loss and mentor internal staff to do the same.

Risk Improvement Services: Must have expertise to provide Risk Improvement service work, including operational loss analysis reports and investigations to direct services that eliminate or control conditions leading to potential losses. Ability to complete detailed service plans, provide consultative recommendations, and develop new tools and products as needed.  Must communicate service plan status in the context of The Hartford’s offerings to improve insureds’ control of exposures. Ability to manage complex multi-location accounts and support Field Operations.

Consultative Selling Skills: Must demonstrate confidence and skill when working with insured accounts using a consultative approach. Based on their knowledge of the insureds business activities and needs, they can move the account in a direction which eliminates exposures and/or controls the potential for future financial loss.

Excellent Communication and Presentation Skills: Must have high degree of knowledge and skill to make formal written and verbal presentations to our insured accounts and agents with the ability to influence and motivate others. Presentations must be well thought out and professionally constructed, as well as being clear, concise and focused. Reports to Management are expected to be of professional quality. These reports must provide direction for the insured, agent and underwriter to improve operations and reduce potential insurable loss.

Industry Specific Knowledge and Safety: Must understand the Regional Office business plans and industry specific issues that affect each distinct territory. Have the confidence to speak about the issues that may affect the financial conditions of the region and offer advice to lessen our exposure. Provide support for Field staff in addressing these initiatives.

Business Tools: Must be proficient in using Microsoft Office tools including Excel, PowerPoint and Word as well as presentation platforms such as GoToMeeting and Microsoft Teams.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$130,400 - $195,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Spec IT Asset Management - IT07DE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Open-source software is a key part of The Hartford’s technology stack, and managing it is critical to our SAM maturity journey. The Senior Analyst, OSS Compliance will serve as the subject matter expert for all open-source software assets, ensuring we have complete visibility into OSS usage and that we comply with all license requirements. In this role, you will build out The Hartford’s OSS inventory and governance practice as part of the SAM program, integrating it with our broader asset management processes.

This is a new and highly visible role on the SAM team, ideal for a candidate with deep knowledge of open-source licensing and a passion for establishing best-in-class compliance controls. Your contributions will help The Hartford stay compliant with open source policies, ensure no open-source component is overlooked, and enable the company to safely and efficiently leverage open source in achieving its business goals.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities:

• OSS Inventory & Tracking: Develop and maintain a comprehensive inventory of all open-source software components used across The Hartford’s applications and environments. Continuously update the OSS inventory through scans, developer inputs, and integration with build pipelines.
• License Compliance Management: Monitor and enforce compliance with OSS license terms and usage policies. For each OSS component, verify that usage meets the license obligations (e.g., attribution, source code availability). Work with the Security team to proactively flag any OSS licenses that pose legal or security risks (e.g., copyleft licenses) and drive the approval or remediation process (up to and including removal or purchase of support if required). Maintain an OSS compliance dashboard to give visibility into the organization’s OSS risk posture.
• Governance & Policy Enforcement: Serve as the primary owner of The Hartford’s OSS usage policy and related documentation. Update and refine OSS governance documents (license compliance guidelines, approval workflows for new OSS, exception handling procedures) and ensure they are communicated and adhered to across IT. Conduct training or info-sessions for development teams on OSS compliance best practices. When needed, lead the review of new OSS requests or license exceptions through a governance board, providing recommendations based on risk and alignment with policy.
• Cross-Functional Collaboration: Act as a liaison between the SAM team and multiple stakeholders on OSS matters. Work closely with software engineering teams to guide them in selecting OSS components that meet policy; partner with Legal and Risk departments to interpret license terms and handle any external inquiries or disputes; coordinate with Procurement/ITAM if any OSS requires support contracts or if we transition from OSS to commercial alternatives. This cross-functional work ensures OSS efforts are aligned with overall IT asset management and risk management processes.
• Reporting & Continuous Improvement: Track key metrics around OSS usage and compliance. Regularly report on OSS compliance status to SAM leadership and governance bodies. Use these insights to suggest improvements to our tooling or processes – for example, enhancing our SAM Pro configuration to better accommodate OSS data, or improving automation for license obligation checks. Stay current on trends in open-source licensing and tooling (such as new regulations or community best practices) and update The Hartford’s approach accordingly.

Required Qualifications & Experience:

• Education & Experience: Bachelor’s degree in Computer Science, Software Engineering, Information Security, or related field. 5+ years of experience in software asset management, open-source compliance, or a related field (such as DevSecOps or software license management), with a significant focus on managing open-source software.
• Open Source License Expertise: In-depth understanding of open-source licenses and their implications. Proven experience auditing or governing open-source usage in a corporate setting – you should be able to cite examples of detecting a non-compliant OSS usage and resolving it (e.g., removing a component or altering use to comply with license). Familiarity with legal considerations of open source and how to document compliance is important.
• Tools & Technical Skills: Hands-on experience with ServiceNow SAM Pro or similar asset management tools, particularly in tracking software components and licenses. Comfortable with querying data and using reporting tools (PowerBI) to analyze software inventory information. Basic understanding of development pipelines and how OSS libraries are introduced (to effectively integrate compliance checks).
• Analytical & Problem-Solving: Strong analytical skills to identify compliance issues from large datasets of components and dependencies. Attention to detail in reviewing license text and usage conditions. Ability to assess risk levels of OSS components and make based on that analysis.
• Collaboration & Communication: Excellent communication skills, especially in translating complex license requirements into clear guidance for developers and stakeholders. Experience working cross-functionally. Must be able to influence and educate others who may not have a compliance background, gaining their buy-in for necessary controls.
• Initiative & Continuous Learning: Self-starter mindset with enthusiasm for building a function from the ground up. Passionate about open source and stays updated on the latest developments in OSS licensing, tools, and community practices. Able to proactively improve processes and policies without always having a pre-existing template.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$101,600 - $152,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr. Consultant, Asset Owner - GF07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Claim Data Science team is highly productive team focused on providing deep insight, automation, and

augmentation across the Claim lifecycle for Employee Benefits customers and internal business

stakeholders.  The Claim Data Science team supports a significant portfolio of assets across the Claim

lifecycle, from intake to resolution, and everything in between.  In addition to our existing portfolio of

Predictive AI assets, the team is expanding our Generative AI capabilities, driving toward a fully integrated

AI guided claim handling experience.  This will include integrated, interactive solutions with a toolkit including

generative AI, natural language processing, computer vision, and predictive machine learning techniques. 

We deliver value by partnering closely with enterprise enablement and other line of business data science

teams to help build a consistent approach to architecture and practices across AI products while tailoring

solutions to our customers' unique needs in accuracy, transparency, and scalability.

As a Technical Product Owner, you will be expected to build relationships and partner with stakeholders to ensure

that data science solutions are addressing business problems as intended and achieving the expected

value. You will identify gaps and opportunities in existing processes and devise new or improved data

science solutions to identify risks, enhance processes, and increase operational efficiency. Additionally, the

Senior Asset Owner provides tactical support to the Data Science and Engineering teams by driving project

execution, roadmaps, and regular updates to business partners. The ability to take detailed data science

and engineering output and highlight key findings, results, and recommendations to our business partners is

fundamental to project success. 

This role will have aHybrid work schedule,with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Build strong partnerships with business customers and act as key point of contact for several Data

Science assets with internal stakeholders

Identify opportunities to evolve or reuse existing assets or develop new assets that could add

operational and business value

• Assist with the communication plan and marketing strategy of key capstone initiatives. Build

customer artifacts to support adoption, marketing and socialization including documentation, project

plans, road maps and insight briefs

• Instill disciplined project timelines and support teams capacities to deliver results in a timely

manner 

• Execute well-designed communication plans tailored to audiences ranging from technical peers to

business stakeholders of various levels 

• Assist in development of vision and strategic planning, success criteria, CBA and value propositions

for Data Science assets 

• Communicate with and influence audiences of various levels and diverse backgrounds

Qualifications:

• 4+ years of experience in supporting analytic or machine learning product ownership or technical

development in insurance or related field

• Proficiency in turning a new business problem into an executable technical or analytical solution

• Proficiency in impactful storytelling, communication, and relationship-building across a broad range

of technical and non-technical audiences

• Proficiency in leveraging Microsoft tools to develop compelling visuals articulating complex analytical

topics

• Proficiency in translating complex technical topics into business solutions and strategies as well as

turn business requirements into a technical solution

• Experience with leading project execution and driving change to core business processes through

the innovative use of quantitative techniques

• Exposure to Generative AI capabilities (and limitations) and use-cases, with a strong drive to keep

up with the state of the art and help our customers match AI capabilities with their business needs

• Basic understanding of statistics, the analytical project lifecycle, data science concepts, data

transformation and data warehouse concepts

• Domain knowledge in Insurance, Claims Management, and KPIs is a plus  

• Agile and Product Owner experience is highly desired

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$111,200 - $166,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Consultant Perf Analytics - GB08BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Global Specialty (GS) Performance Analytics Consultant delivers the vision and strategy for data‑driven performance analytics across GS. They play a critical role in advancing a culture of insight‑led decision‑making, accountability, and strategic execution aimed at profitable, sustainable growth. As a strategic partner to Underwriting and related functions—including Product, Actuarial, Claims, Finance, and the Transformation Office—the analyst leverages data, analytical rigor, and clear communication to support the achievement of GS business objectives.

The Performance Analytics (PA) team supports insights across a range of Global Specialty segments with U.S. and international presence, including Financial Lines, Primary & Excess Casualty, Property, Commercial Auto, Inland & Ocean Marine, Environmental, Bond, Livestock, Energy, and Credit & Political Risk. As a PA, you will support one of these segments in addition to a transformation value stream.

This role will have aHybrid work schedule,with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

The Ideal Candidate

• Is curious, analytical, and eager to understand how GS underwriting and operations work
• Demonstrates strong SQL skills and confidence in independently sourcing and transforming data
• Has working knowledge of Python
• Has experience with visualization and reporting tools (e.g., Power BI, Tableau)
• Understands or can quickly learn financial and operational performance drivers in specialty insurance
• Translates data into clear, compelling stories tailored to both technical and executive audiences
• Asks thoughtful questions, builds strong cross‑functional partnerships, and contributes to elevating analytics maturity
• Is motivated to grow into a value‑adding partner to GS Underwriting teams

Responsibilities

• Business Understanding & Performance Insight
• Develop a deep understanding of underwriting workflows, operational processes, and financial levers within your assigned GS segment.
• Analyze key KPIs and performance trends, identifying meaningful shifts and diagnosing underlying causes.
• Support routine monthly portfolio reviews across GS lines, including analysis of flow, KPIs, claims trends, underwriting behaviors, and insights from partner tools.
• Create and enhance performance metrics and KPI frameworks, ensuring clarity, consistency, and alignment with business needs.
• Cross‑Functional Partnership
• Partner with and support Business Intelligence professionals to enable clear, durable, and self‑serve dashboards for business partners.
• Partner with and support Data Science professionals to help measure the success of their solutions.
• Develop an understanding of Data Science solutions and other technologies that support and transform GS Underwriting.
• Partner with and support Data Engineering professionals to ensure data quality and shared understanding of data assets.
• Partner with and support Asset Owner professionals to ensure clear, accurate communication with stakeholders and proper documentation of work‑effort prioritization and requirements.
• Data & Analytics Execution
• Independently source, transform, and validate data using SQL; maintain proactive communication with engineering partners on data quality and structure.
• Build automated, repeatable analytical workflows using tools such as Python, Power BI, and Tableau.
• Conduct statistical analyses (e.g., correlation and trend modeling) to identify meaningful patterns and insights.
• Communication & Influence
• Synthesize analytical findings into concise, clear narratives for GS Underwriting leadership and partner teams.
• Present insights and recommendations through polished PowerPoint materials tailored to varying technical and leadership levels.
• Collaborate with Underwriting and cross‑functional teams to identify improvement opportunities and support execution of business strategies.
• Data Governance & Operational Excellence
• Combine and reconcile data from multiple sources, developing a strong understanding of GS data assets, lineage, and quality considerations.
• Build trusted working relationships with Underwriting, Product, Actuarial, Claims, and Finance through reliable analysis, open communication, and consistent delivery.
• Respond to ad‑hoc analytical requests, providing clarity on definitions, methods, and drivers; offer guidance on KPI interpretation and visualization best practices.
• Maintain strong, clear documentation of work‑effort progress and analysis activities.
• Adhere to and promote strong agile practices.

Qualifications

• 2+ years of SQL project work
• 1+ years of hands on work with Python for analytical and automation tasks
• 2+ years' experience with Power BI / Tableau or other visualization software
• Strong written and verbal communication skills
• Curiosity, creativity, and comfort navigating ambiguity
• Strong Excel skills
• Understanding of insurance performance concepts (rate, retention, loss trends)
• Self‑motivated; can work independently and in teams
• Openness to learning new tools & domain knowledge
• Bachelor’s degree required, preferably in Data Analytics, Statistics, Economics, Mathematics, Business, or a related quantitative field
• College‑level statistical knowledge
• Familiarity with Agile practices (preferred)

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$78,800 - $118,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Consult Bus Data Analysis - GA07AE

Sr Consultant Perf Analytics - GB07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.          

Empower Strategy with Data. Drive Innovation with Insights.

Overview

The Risk Services Insights team is a group of curious, collaborative, and forward-thinking professionals who believe in the power of data to transform business. Our mission is to deliver timely, actionable insights that enable confident decision-making and fuel innovation across Risk Services. We value curiosity, collaboration, innovation, and impact—and we’re looking for someone who shares these values.

As a Senior Data Analyst, you will play a critical role in delivering the performance analytics that support operational effectiveness, resource optimization, and strategic decision-making across Risk Services. You will be hands-on from day one—building analytical tools, validating data, and translating complex performance metrics into compelling stories for senior leadership.

Responsibilities

• Analyze service delivery performance and operational health metrics to uncover drivers of efficiency, quality, and customer impact.
• Develop performance dashboards and KPI frameworks that enable leaders to monitor trends and evaluate business outcomes.

• Analyze large datasets to identify trends, anomalies, and root causes; translate findings into clear, actionable recommendations.

• Work through a robust backlog by independently prioritizing work, managing deadlines, and delivering high-quality outputs.

• Lead requirements-gathering sessions with business partners; document user stories, acceptance criteria, and measurement definitions.

• Drive conversations with stakeholders across the enterprise to clarify objectives, align on scope, and ensure successful delivery.

• Leverage an understanding of data structures and architecture to troubleshoot data issues and partner with engineering teams.

• Create and deliver polished, data-driven presentations tailored for senior leadership, translating complex analytical insights into business impact.

Qualifications

• 5+ years of experience in data analytics, business intelligence, or performance measurement roles.
• Expert-level proficiency with Snowflake, SQL, Tableau Desktop/Server, Tableau Prep, Excel, and PowerPoint.
• Experience working with messy datasets, validating data, and performing complex analysis.

• Familiarity with data structures, architecture concepts, and data engineering workflows.

• Proven ability to analyze large datasets and convert insights into clear business recommendations.

• Exceptional executive communication and data storytelling skills.

• Experience with requirements gathering and structured documentation.

• Demonstrated ability to prioritize work, communicate proactively, and keep stakeholders aligned.

• Familiarity with Agile/Kanban methodologies and tools (e.g., Rally) is strongly preferred.

• Experience in insurance, risk engineering, or related fields is preferred but not required.

Work Arrangement

This role offers a Hybrid or Remote work arrangement:

• Candidates near Hartford, Chicago, Charlotte, or other major office locations are expected to work in-office 3 days per week (Tuesday–Thursday).
• Remote candidates will work virtually, with occasional travel as business needs arise.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Why Join Us?

If you’re passionate about data analytics, performance measurement, and shaping the future of Risk Engineering, this is your opportunity to make an impact, gain enterprise visibility, and grow your career in a dynamic, innovation-driven environment. Apply today and join a team where your insights drive action.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

92,800-147,720

The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

AVP & Reliability Engineering - IE05HE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

AVP of Observability Engineering

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Observability Engineering team is seeking an accomplished and visionary AVP of Observability Engineering to lead the design, delivery, and continuous evolution of a cutting-edge, AI powered observability ecosystem. This leader will ensure security, efficiency, and resiliency across The Hartford’s technology platforms by driving innovation in monitoring, logging, alerting, and content delivery networkcapabilities. You will own a team of subject matter experts who are responsible for the full agile lifecycle of product development, support, and operational responsibilities of maintaining key instrumentation platforms, and will partner with our SRE group to offer the highest levels of availability.

In this pivotal role, you will own and optimize enterprise observability platforms including Splunk, Dynatrace, Akamai, and related tooling, while embedding Generative and Agentic AI capabilities to transform how we detect, diagnose, and resolve issues. Your mandate includes leveraging AI-driven insights for anomaly detection, automated RCA (Root Cause Analysis), and predictive alerting to reduce MTTR and improve reliability.

This is not just about monitoring—it’s about predictive resilience. By combining industry-leading observability tools with AI, you will redefine how The Hartford anticipates and resolves issues, ensuring exceptional customer experience and operational stability.

This role will have a Hybrid work schedule, with the expectation of working in an office (NYC, Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week. Candidates must be authorized to work in the US without companysponsorship.

Key Responsibilities

• Define and execute the observability strategy for The Hartford, ensuring alignment with business objectives and resiliency goals.

• Champion innovation by overlaying AIcapabilities into observability workflows—enabling intelligent alert correlation, automated incident summaries, and proactive risk mitigation.

• Oversee enterprise observability platforms including Splunk (logging, dashboards, compliance) and Dynatrace (APM, infrastructure monitoring).

• Establish OTel-first instrumentation standards (traces, metrics, logs), semantic conventions, sampling strategies, and correlation patterns (span-to-log, service-to-customer journey).

• Drive integration with cloud-native services (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker).

• Establish and monitor golden signals, error budgets, and SLOs to ensure top-quartile reliability.

• Implement AI-powered anomaly detection and predictive analytics to reduce alert noise and improve incident response.

• Embed AI-driven automation for:

• Intelligent log summarization and RCA.

• Automated dashboard generation and KPI insights.

• Conversational interfaces for observability queries using LLMs.

• Define KPIs for observability maturity (e.g., % of apps logging to Splunk, alert coverage, MTTR).

• Ensure compliance with Hartford’s logging and monitoring standards across applications and infrastructure.

• Partner with SRE, Platform Engineering, and Security teams to deliver secure, scalable, and resilient observability solutions.

• Engage with senior leadership to communicate progress, risks, and innovation opportunities.

• Lead and develop a high-performing team that can deliver on goals and objectives

Qualifications

• 10 or more years of experience in Infrastructure Engineering, SRE, Cloud Engineering, or Observability systems. Bachelor’s or advanced degree in Computer Science, Engineering, or related field.

• Proven leadership in observability or reliability engineering roles, with hands-on experience in Splunk, Dynatrace, Akamai, and cloud-native monitoring.

• Expertise in SRE principles, proactive monitoring, and performance optimization.

• Familiarity with GenAI technologies and their application in IT operations (e.g., anomaly detection, automated RCA, AI-driven dashboards).

• Strong communication and stakeholder management skills.

• Track record of driving innovation and continuous improvement in observability practices.

• Experience working in big tech, banking, insurance or other highly regulated industries strongly preferred

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$224,800 - $337,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Data Engineer - GE07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford seeks energetic and passionate AI Platform Engineers to build AI Operations (AIOps, MLOps, FMOps, LLMOps) services for our AI Platform team. Our team supports data science and business teams across the enterprise, driving streamlined processes and smarter decision-making in functions like Actuarial, Product, Underwriting, and Sales. As an AI Engineer within the AI Operations organization, you will play a significant role in delivering modern and sustainable data science products generating meaningful outcomes for the enterprise. 

We are looking for talent who embraces our core values: 

Solution-Oriented: We build solutions, not just models, focusing on end-to-end business problems and systems design. 
Trust and Transparency: We collaborate closely with partners, mindful of their capacity to absorb change. 
Reliability: Our products come with full monitoring solutions to ensure they deliver as expected. 
Influence through Humility: We listen carefully to our customers and become partners in problem-solving. 
Practical and Evolutionary: We deliver minimally viable products first and expand their sophistication over time based on feedback. 

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. 

Responsibilities:

Develop value-added features tailored to company specific work, above and beyond the core capabilities of the cloud platform and relevant vendor tools.

Research, experiment with, and implement suitable GenAI algorithms, tools, and technologies.  

Explore new services and capabilities in AWS, Google Cloud Platform, and Azure to support GenAI and ML services.

Enhance platform functionality with strong engineering expertise in AI, ML, Agentic Frameworks, and modern data technologies.

Develop and promote best practices in AI, ML, and data engineering across teams.

Architect and design end-to-end solutions at a component level.

Collaborate with partners in Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.

Manage engineering tasks, driving execution, and optimizing workflows with minimal guidance.

Provide technical mentorship and career growth opportunities for team members.

Review work of systems-level engineers to calibrate deliverables against project and business expectations.

Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a technical field.

• 8+ years building and shipping software and/or platform solutions for enterprises.

• Programming experience with Python is preferred.

• 3+ years of experience with Terraform.

• Experience building libraries, frameworks or platforms used across multiple teams is a plus.

• Proven experience with Google Cloud Platform (GCP).

• Experience with GCP BigQuery, Cloud Functions, AI Platform, API Gateway, GKE/Docker is a must.

• Proven experience in working with other cloud providers such as AWS cloud is a plus.

• Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.

• Experience with building scalable serverless applications (real-time/batch) using cloud technologies.  GCP is a plus.

• Knowledge of distributed NoSQL database systems and data engineering, ETL technology.

• Conversational UX/UI design (chatbots) and Human-Agent-Interaction (HAI) is a plus.

• Experience with IR, vector embedding, and Hybrid/Semantic search technologies.

• Knowledge about customization techniques across various stages of the RAG pipeline, including model fine-tuning, retrieval re-ranking, HNSW, and product quantization is a plus.
• Experience with embeddings, ANN/KNN, vector stores, database optimization, & performance tuning is a plus.
• Experience with LLM orchestration frameworks like Langchain, LlamaIndex, LangSmith, LangGraph, Google Agent Development Kit, is a plus.
• Experience with Generative AI Guardrails, responsible AI, adversarial attack mitigation, and red teaming is a plus.
• Foundational understanding of Natural Language Processing and Deep Learning.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Excellent communication skills.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$137,000 - $206,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford’s Premium Audit organization is seeking a highly skilled Technical Lead to drive the design and implementation of complex, service‑oriented architectures in a cloud environment. This role partners closely with architects, engineers, and cross‑functional teams to deliver scalable, cloud‑native solutions aligned with The Hartford’s architectural standards and technology roadmap. Candidates should bring demonstrated expertise in translating architectural vision into high‑quality, enterprise‑grade software, with a strong focus on security, resiliency, performance optimization, and modern cloud engineering practices.

This hands‑on technical leadership position will guide the implementation of interconnected services across the Premium Audit Common UI and Service Layer, Customer Interaction Services, and Integration Platforms. The ideal candidate will possess deep engineering acumen and practical experience with front‑end technologies, AWS services, Oracle database technologies, API Gateway, microservices, and event‑driven architectures. Strong collaboration, leadership, and problem‑solving skills are essential for success in this role.

This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT and Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities

• Lead the design and implementation of the architecture provided, ensuring alignment with enterprise standards while embedding GenAI capabilities.
• Develop and maintain microservices and API integrations using AWS technologies.
• Perform code reviews for full stack application development to ensure high-quality standards, improve code quality, and maintain strong test coverage.
• Lead the design and development of modern, user‑centric UI components and interfaces, ensuring adherence to front‑end best practices, accessibility standards, and performance optimization.
• Enforce robust front‑end security practices, including secure coding standards, protection against common vulnerabilities (such as XSS, CSRF, and injection attacks), and alignment with enterprise security guidelines.
• Oversee data flow orchestration across multiple layers including-Premium Audit Common Service Layer, Customer Interaction Services and Integration Platforms
• Ensure compliance with security, scalability, and performance benchmarks.
• Collaborate with stakeholders to define technical requirements and deliver high-quality solutions.
• Drive continuous improvement and ideation, introducing creative solutions that challenge traditional approaches and deliver measurable business impact.
• Mentor team members and promote best practices in DevSecOps, CI/CD, and cloud-native development.
• Coordinate implementation efforts with engineering and product teams across multiple time zones, aligning priorities and ensuring high‑quality, timely delivery.

Required Skills & Qualifications

• Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
• 8+ years of professional software engineering experience, with 3+ years in technical leadership role delivering cloud-native, event-driven systems.
• Demonstrated ability to lead design, implementation, code quality, and delivery across distributed services in a hybrid environment.
• Strong experience designing scalable, secure, and observable software applications; adept at trade-off decisions and documentation.
• Ability to mentor engineers and align delivery with business outcomes.

Productivity & Innovation:

• Ability to leverage AI tools and Copilot to improve productivity in day-to-day tasks, including development, debugging, documentation, and automation workflows.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills, with ability to influence leadership and collaborate across teams.
• Awareness of full software development lifecycle (SDLC), including source code management, code quality, and testing practices.
• Demonstrated independence, self-motivation, good judgment, and active listening skills.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills

• Hands-on experience with API development, Angular, and AWS resources such as Lambda, CloudWatch, ECS, RDS, S3, IAM, SNS, SQS, and Service Catalog.
• Strong technical knowledge of AWS application development and data integration strategies.
• Practical experience in creating Angular components for front-end development.
• Solid understanding of relational databases, particularly Oracle.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$116,000 - $174,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Consultant Perf Analytics - GB08BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Global Specialty (GS) Performance Analytics Consultant delivers the vision and strategy for data‑driven performance analytics across GS. They play a critical role in advancing a culture of insight‑led decision‑making, accountability, and strategic execution aimed at profitable, sustainable growth. As a strategic partner to Underwriting and related functions—including Product, Actuarial, Claims, Finance, and the Transformation Office—the analyst leverages data, analytical rigor, and clear communication to support the achievement of GS business objectives.

The Performance Analytics (PA) team supports insights across a range of Global Specialty segments with U.S. and international presence, including Financial Lines, Primary & Excess Casualty, Property, Commercial Auto, Inland & Ocean Marine, Environmental, Bond, Livestock, Energy, and Credit & Political Risk. As a PA, you will support one of these segments in addition to a transformation value stream.

This role will have aHybrid work schedule,with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

The Ideal Candidate

• Is curious, analytical, and eager to understand how GS underwriting and operations work
• Demonstrates strong SQL skills and confidence in independently sourcing and transforming data
• Has working knowledge of Python
• Has experience with visualization and reporting tools (e.g., Power BI, Tableau)
• Understands or can quickly learn financial and operational performance drivers in specialty insurance
• Translates data into clear, compelling stories tailored to both technical and executive audiences
• Asks thoughtful questions, builds strong cross‑functional partnerships, and contributes to elevating analytics maturity
• Is motivated to grow into a value‑adding partner to GS Underwriting teams

Responsibilities

• Business Understanding & Performance Insight
• Develop a deep understanding of underwriting workflows, operational processes, and financial levers within your assigned GS segment.
• Analyze key KPIs and performance trends, identifying meaningful shifts and diagnosing underlying causes.
• Support routine monthly portfolio reviews across GS lines, including analysis of flow, KPIs, claims trends, underwriting behaviors, and insights from partner tools.
• Create and enhance performance metrics and KPI frameworks, ensuring clarity, consistency, and alignment with business needs.
• Cross‑Functional Partnership
• Partner with and support Business Intelligence professionals to enable clear, durable, and self‑serve dashboards for business partners.
• Partner with and support Data Science professionals to help measure the success of their solutions.
• Develop an understanding of Data Science solutions and other technologies that support and transform GS Underwriting.
• Partner with and support Data Engineering professionals to ensure data quality and shared understanding of data assets.
• Partner with and support Asset Owner professionals to ensure clear, accurate communication with stakeholders and proper documentation of work‑effort prioritization and requirements.
• Data & Analytics Execution
• Independently source, transform, and validate data using SQL; maintain proactive communication with engineering partners on data quality and structure.
• Build automated, repeatable analytical workflows using tools such as Python, Power BI, and Tableau.
• Conduct statistical analyses (e.g., correlation and trend modeling) to identify meaningful patterns and insights.
• Communication & Influence
• Synthesize analytical findings into concise, clear narratives for GS Underwriting leadership and partner teams.
• Present insights and recommendations through polished PowerPoint materials tailored to varying technical and leadership levels.
• Collaborate with Underwriting and cross‑functional teams to identify improvement opportunities and support execution of business strategies.
• Data Governance & Operational Excellence
• Combine and reconcile data from multiple sources, developing a strong understanding of GS data assets, lineage, and quality considerations.
• Build trusted working relationships with Underwriting, Product, Actuarial, Claims, and Finance through reliable analysis, open communication, and consistent delivery.
• Respond to ad‑hoc analytical requests, providing clarity on definitions, methods, and drivers; offer guidance on KPI interpretation and visualization best practices.
• Maintain strong, clear documentation of work‑effort progress and analysis activities.
• Adhere to and promote strong agile practices.

Qualifications

• 2+ years of SQL project work
• 1+ years of hands on work with Python for analytical and automation tasks
• 2+ years' experience with Power BI / Tableau or other visualization software
• Strong written and verbal communication skills
• Curiosity, creativity, and comfort navigating ambiguity
• Strong Excel skills
• Understanding of insurance performance concepts (rate, retention, loss trends)
• Self‑motivated; can work independently and in teams
• Openness to learning new tools & domain knowledge
• Bachelor’s degree required, preferably in Data Analytics, Statistics, Economics, Mathematics, Business, or a related quantitative field
• College‑level statistical knowledge
• Familiarity with Agile practices (preferred)

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$78,800 - $118,200

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Configuration Analyst - IN08BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Job Description: Marketing Technology & AI Enablement

Role Overview

We are seeking a Marketing Technology & AI Enablement Professional to accelerate the adoption of AI across our marketing organization, enhance operational efficiency, and elevate the impact of our creative and content workflows. This role sits at the intersection of marketing, technology, and process design—ideal for someone who understands the realities of modern marketing execution and the emerging opportunities enabled by AI, automation, and agentic orchestration.

This individual will test and evaluate emerging AI tools (including AI agents) and translate those insights into clear recommendations for the organization. They will guide and influence leaders across their business areas to adopt and effectively leverage these tools to create, customize, and scale marketing assets. In addition, they will lead the servicing and optimization of our Digital Asset Management platform, partnering closely with creative teams and external vendors to ensure solutions meet evolving needs.

Key Responsibilities

AI Agents & Orchestration

• Work with agentic AI platforms to automate marketing workflows, including asset tagging, content generation, personalization, routing, and QA checks.
• Understand multi-agent orchestration patterns and how they can improve speed, scale, and consistency.
• Help marketing leads evaluate when to use agentic vs. human‑centered processes.
• Participate in experiments and pilots that explore new AI agent capabilities.

AI Adoption & Enablement

• Lead the integration of AI tools and workflows across the marketing department.
• Train teams on AI capabilities, use cases, and responsible adoption.
• Identify processes that can be reinvented or automated with generative AI and agentic systems.
• Build and maintain playbooks, best practices, and governance frameworks for AI-enabled marketing.

Digital Asset Management Ownership

• Serve as primary owner and administrator of the DAM platform.
• Maintain metadata standards, folder structures, taxonomy, and governance.
• Ensure smooth onboarding of new team members and consistent usage across teams.
• Drive DAM enhancements and evaluate opportunities to expand capabilities and integrations.
• Become a power user of our creative production vendors’ tools—especially for asset customization and dynamic content rendering.

Ecosystem Orchestration & Alignment

• Serve as the central orchestrator for AI‑enabled ecosystem workflows, ensuring seamless data, process, and insight flow across internal teams
• Drive collaboration, automation, and operational efficiency by deploying AI tools that streamline the full sales‑enablement environment
• Oversee content hygiene to continuously audit, tag, update, and optimize ecosystem assets for accuracy, consistency, and reuse.

Key Skills & Qualifications

• Hands-on experience with generative AI tools (e.g., Gemini Enterprise, Copilot Studio, Power Platform, etc.).
• Practical familiarity with agentic AI systems and multi-agent orchestration.
• Ability to translate business needs into AI workflows and evaluate automation opportunities.
• Comfortable experimenting with emerging tools and rapidly learning new technologies.
• Able to effectively interact with colleagues as well as leaders and influence their decisions.

Preferred Experience

• AI-Driven Marketing Workflows: Proven experience implementing AI tools within marketing operations—such as generative content creation, automated asset tagging, personalization engines, or campaign optimization.
• Agentic AI & Orchestration: Hands-on exposure to multi-agent systems and orchestration frameworks, with an understanding of how to design workflows where AI agents collaborate to execute complex tasks.
• Prompt Engineering & Model Tuning: Ability to craft effective prompts for generative AI tools and familiarity with fine-tuning or customizing models for brand-specific outputs.
• AI Governance & Risk Management: Knowledge of ethical AI use, bias mitigation, and compliance considerations in marketing contexts.
• Integration with MarTech Stack: Experience connecting AI capabilities to existing platforms (DAM, CMS, CRM, marketing automation tools) for seamless workflows.
• Vendor Collaboration on AI Solutions: Worked with external vendors to configure AI-driven asset customization tools and influence product roadmaps.
• Change Management for AI Adoption: Led training sessions or enablement programs to help marketing teams confidently adopt AI technologies.
• Performance Measurement: Familiarity with evaluating AI-driven processes using KPIs like efficiency gains, engagement lift and cost savings.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week (Tuesday through Thursday).

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$83,600 - $125,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is searching for a Staff Software Engineer within the Personal Lines organization that will have end-to-end technical accountabilities in application development for personal lines portfolio in a highly distributed, integrated, multi-platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for the business as well as Fundamentally treats IT Operations as Software Engineering and adopted Scrum development methodology and core agile engineering practices such as continuous integration and test-driven development.

Responsibilities:

• Technical Leadership: Provide technical leadership, enforcing the vision of the application architecture and integrity of the application environment in alliance with architects and other tech leads.
• Hands-On Coding: Lead teams while also performing hands-on coding to stay connected with the technical aspects of the projects.
• Code Quality: Conducting code reviews to maintain high standards in coding and reliability.
• Mentorship: Guiding junior engineers to enhance team capabilities and foster growth,

• Communicate Effectively: Proactively communicate risks, issues, and mitigations to stakeholders.

• Embrace Future Technologies: Lead innovation efforts, leveraging modern technologies to solve customer problems. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus.

Qualifications:

• Experience: 5+ years in application software development.
• Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React, XML, XSLT, SQL), and cloud platforms (preferably AWS). Must have a strong working experience as Designer/Developer of REST/SOAP API services, both as consumer & provider.
• DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube).
• Tech Savvy: Passionate about staying current with technology trends, experimenting with modern technologies, and participating in internal tech communities.
• Agile Practitioner: Experience with agile or scrum methodologies.
• Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills.
• Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek,) is a plus.
• Education: Bachelor’s degree in computer science or related field preferred.

This role will have a Hybrid work arrangement, with the expectation of working in an office 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$114,720 - $172,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Software Engineer - IE07IE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is searching for a Staff Software Engineer within the Personal Lines organization that will have end-to-end technical accountabilities in application development for personal lines portfolio in a highly distributed, integrated, multi-platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for the business as well as Fundamentally treats IT Operations as Software Engineering and adopted Scrum development methodology and core agile engineering practices such as continuous integration and test-driven development.

Responsibilities:

• Technical Leadership: Provide technical leadership, enforcing the vision of the application architecture and integrity of the application environment in alliance with architects and other tech leads.
• Hands-On Coding: Lead teams while also performing hands-on coding to stay connected with the technical aspects of the projects.
• Code Quality: Conducting code reviews to maintain high standards in coding and reliability.
• Mentorship: Guiding junior engineers to enhance team capabilities and foster growth,

• Communicate Effectively: Proactively communicate risks, issues, and mitigations to stakeholders.

• Embrace Future Technologies: Lead innovation efforts, leveraging modern technologies to solve customer problems. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus.

Qualifications:

• Experience: 5+ years in application software development.
• Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React, XML, XSLT, SQL), and cloud platforms (preferably AWS). Must have a strong working experience as Designer/Developer of REST/SOAP API services, both as consumer & provider.
• DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube).
• Tech Savvy: Passionate about staying current with technology trends, experimenting with modern technologies, and participating in internal tech communities.
• Agile Practitioner: Experience with agile or scrum methodologies.
• Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills.
• Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek,) is a plus.
• Education: Bachelor’s degree in computer science or related field preferred.

This role will have a Hybrid work arrangement, with the expectation of working in an office 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$114,720 - $172,080

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Principal Software Engineer - IE06GE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Principal Software Engineer is a senior individual contributor responsible for setting technical direction and delivering complex, high‑impact software solutions within Personal Insurance. The role requires hands‑on technical leadership, architectural ownership, and innovation, ensuring solutions are designed with quality, scalability, reliability, and security from the outset. This position partners closely with Product, Architecture, Reliability Engineering/Operations, DevSecOps, and Quality Engineering to deliver measurable business value through disciplined engineering practices and technical excellence.

Key Responsibilities

Technical Leadership & Architecture

• Serve as a technical authority for complex Personal Insurance systems across front-end, back-end, integration, and data layers.
• Define and evolve solution architectures that align with enterprise standards and enable scalable, resilient delivery.
• Ensure solutions meet functional and non-functional requirements, including performance, security, resiliency, maintainability, and operational readiness.
• Drive modernization of legacy systems into cloud-native, API-driven, and event-based architectures.

Hands-on Engineering & Delivery

• Remain deeply hands-on by contributing production-quality code, technical designs, prototypes, and reference implementations.
• Lead resolution of complex technical issues, including high-severity production incidents and systemic design concerns.
• Establish and enforce engineering standards, design patterns, and best practices across teams.

SDLC, DevOps & Operational Excellence

• Champion strong SDLC and DevOps practices, including CI/CD pipelines, automation-first delivery, and environment hygiene.
• Partner with DevSecOps and Reliability Engineering to embed observability, monitoring, alerting, and resiliency practices into solutions.
• Ensure applications are production-ready and supportable, with appropriate controls and documentation.

Quality & Engineering Excellence

• Act as a quality bar-raiser, ensuring quality is engineered into solutions rather than validated solely through testing.
• Define and enforce quality engineering expectations across the lifecycle, including clear Definition of Ready and Definition of Done criteria.
• Promote shift-left practices such as test-driven development, in-sprint automation, and design-for-testability.
• Partner with Quality Engineering (SDET) to drive effective automation strategies and reduce escaped defects.
• Lead root-cause analysis of recurring defects and quality trends, driving systemic improvements.

Innovation, Ideation & Proof of Value

• Conceptualize new ideas, approaches, and technical solutions to address business and technology challenges.
• Translate ambiguous problems into clear technical hypotheses and solution options.
• Lead Proof of Concept (POC) efforts to validate feasibility, quantify impact, and demonstrate value.
• Develop clear value propositions for POCs, including benefits, risks, costs, and recommendations.
• Present POC outcomes and recommendations to senior technology and business stakeholders to inform decision-making.
• Advocate responsible experimentation with emerging technologies, including AI-enabled development capabilities.

Cross-Functional Collaboration & Influence

• Partner with Product Owners to validate requirements, influence technical prioritization, and align solutions with business objectives.
• Manage technical dependencies across teams and release trains; proactively identify and escalate risks.
• Provide clear, concise updates to senior leadership on architecture decisions, technical risks, and delivery readiness.
• Mentor and guide engineers through technical leadership, design reviews, and knowledge sharing, without formal HR management accountability.

Qualifications

Experience

• 14+ years of experience in enterprise application development.
• Strong technical leadership and mentoring experience
• Extensive experience delivering digital insurance solutions
• Demonstrated success delivering complex, large-scale systems in Agile environments.
• Proven ability to influence technical direction across multiple teams or domains through expertise and leadership.

Technical Skills

• Strong technical background in Java, Angular, SQL, AWS, and scalable cloud-based systems.
• Proficient coding skills in modern languages such as Python and TypeScript.
• Familiarity with AI frameworks and AI-assisted development tools.
• Experience with distributed systems, APIs, microservices, and cloud-native architectures.
• Deep expertise in Microsoft Azure and cloud-native architecture
• Bachelor’s degree in Computer Science, Information Technology, or related field Required
• Cloud: Microsoft Azure, Azure Storage, Cosmos DB
• Languages & Frameworks: Java, C#, Spring Boot, .NET Core
• Integration: REST APIs, Swagger/OpenAPI, Kafka, JMS
• Frontend: Angular, TypeScript
• Monitoring: Application Insights, Splunk
• Familiarity with Duck Creek technology is a plus.

Quality, DevOps & Innovation

• Experience driving quality engineering practices, including automation, CI/CD quality controls, and production readiness standards.
• Demonstrated ability to ideate, prototype, and execute Proof of Concept initiatives that articulate clear value propositions.
• Strong understanding of DevOps, observability, and operational excellence principles.

Leadership & Communication

• Exceptional communication and stakeholder management skills.
• Ability to explain complex technical concepts to both technical and executive audiences.
• Demonstrated ability to drive clarity, alignment, and sound decision-making in ambiguous situations.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$168,400 - $252,600

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Cloud Engineer - IE07NE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

We are seeking a highly capable Senior Software Engineer to join our Intelligent Document Processing (IDP) team. This role is focused on designing, building, and scaling cloud-native software systems that power automated document ingestion, classification, and data extraction at enterprise scale.

You will be a hands-on engineer responsible for developing production-grade backend services, driving technical design decisions, and ensuring the reliability, performance, and maintainability of a critical platform. This role partners closely with other software engineers, data scientists, data analysts, and architects to deliver high-quality solutions that support core business workflows.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Key Responsibilities

• Design, develop, test, and maintain scalable backend services supporting intelligent document processing workflows.
• Build cloud-native applications on AWS, leveraging managed services to deliver secure, resilient, and highly available systems.
• Develop and optimize automated document workflows, including ingestion, classification, extraction, and validation pipelines.
• Own service-level concerns including performance, reliability, observability, and cost efficiency.
• Implement monitoring, logging, alerting, and fault-tolerant patterns.
• Collaborate with cross-functional partners to translate business needs into well-architected software solutions.
• Participate in system design discussions, code reviews, and technical decision-making.
• Contribute to CI/CD pipelines and infrastructure-as-code.
• Author and maintain technical documentation and runbooks.
• Evaluate emerging technologies and contribute to roadmap discussions.

Qualifications

Required

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of professional software engineering experience.
• Strong programming skills in Python and .NET or Java.
• Experience building cloud-native applications on AWS.
• Experience with CI/CD and infrastructure-as-code tools.
• Strong understanding of distributed systems and backend engineering fundamentals.

Preferred

• Experience with Intelligent Document Processing or GenAI-powered document platforms.
• Exposure to OCR, NLP, or machine learning technologies.
• Experience with Docker and Kubernetes.
• AWS certifications.
• Familiarity with insurance or financial document types.
• Experience with agile methodology.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$137,200 - $205,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Architect - IA07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

The Hartford is seeking a transformative, customer centric Solution Architect to join the Claims and Operations IT team as we progress through our modernization agenda. If you’re a passionate technical leader with a continuous learning mindset and motivation to stay on top of the latest trends in emerging technologies such as AI, Platforms, Products, APIs, Microservices/Micro Frontends, Cloud technologies, SaaS solutions, and more, then this position is for you.

This technical leadership position allows you to apply your strong application design, development, and excellent communication skills. This position will be responsible for conceptualizing and designing innovative end-to-end software architectures that enable strategic business objectives. You will create end-to-end AI and digital-first solution designs spanning across multiple components and technologies in a dynamic, Agile environment. You will also provide technical leadership to project teams as the solution design progresses through implementation into run.

Additionally, you will have the opportunity to influence business leaders and shape the business vision by aligning technology strategies with business goals, ensuring that our digital and AI-first approach drives impactful outcomes across the Technology organization.

Responsibilities include, but are not limited to:

• Establish and drive clear, effective, and innovative solution designs aligning to The Hartford’s reference architectures, blueprints, and business and IT strategies across our Digital properties, with a focus on AI and strategic thinking.
• Develop architectural standards and designs for our customer-facing digital properties, incorporating a visionary approach and end-to-end solutioning with a big picture mindset.
• Align solutions to The Hartford’s reference architectures, blueprints, and business and IT strategies, ensuring they are plug-and-play and leverage APIs, platforms, and products.
• Ensure alignment with security standards, authentication, and authorization models, while integrating vendor products and services.
• Provide design supporting the migration of platforms and applications to the cloud, taking advantage of modernization and rationalization opportunities to reduce costs and promote a frugal architecture mindset.
• Design solutions leveraging SaaS and Native Cloud architectures and services, focusing on rationalizing and modernizing assets.
• Develop designs and integrations spanning both Mobile and Responsive Web, ensuring they are consumable across all roles.
• Participate with agile teams to ensure architecture standards are being maintained, promoting a platform and products approach.
• Frequently interact with peers and senior leaders as part of a cross-functional team, influencing business leaders and shaping business vision.
• Work within a matrixed environment, expanding knowledge of The Hartford’s lines of business and digital portfolio.
• Emphasize cost-conscious architecture and frugal architecture principles, ensuring that solutions are designed to be cost-effective and efficient.
• Foster a mindset of building platforms and products that prioritize speed to market and lower maintenance costs.

This role will have aHybrid* work schedule,with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).*

Qualifications:

The Hartford is seeking a transformative, customer centric Solution Architect to join the Claims and Operations IT team as we progress through our modernization agenda. If you’re a passionate technical leader with a continuous learning mindset and motivation to stay on top of the latest trends in emerging technologies such as AI, Platforms, Products, APIs, Microservices/Micro Frontends, Cloud technologies, SaaS solutions, and more, then this position is for you.

This is a technical leadership position that allows you to apply your strong application design, development, and excellent communication skills. This position will be responsible for conceptualizing and designing innovative end-to-end software architectures that enable strategic business objectives. You will create end-to-end AI and digital-first solution designs spanning across multiple components and technologies in a dynamic, Agile environment. You will also provide technical leadership to project teams as the solution design progresses through implementation into run.

Additionally, you will have the opportunity to influence business leaders and shape the business vision by aligning technology strategies with business goals, ensuring that our digital and AI-first approach drives impactful outcomes across the Technology organization.

Responsibilities include, but are not limited to:

• Establish and drive clear, effective, and innovative solution designs aligning to The Hartford’s reference architectures, blueprints, and business and IT strategies across our Digital properties, with a focus on AI and strategic thinking.
• Develop architectural standards and designs for our customer-facing digital properties, incorporating a visionary approach and end-to-end solutioning with a big picture mindset.
• Align solutions to The Hartford’s reference architectures, blueprints, and business and IT strategies, ensuring they are plug-and-play and leverage APIs, platforms, and products.
• Ensure alignment with security standards, authentication, and authorization models, while integrating vendor products and services.
• Provide design supporting the migration of platforms and applications to the cloud, taking advantage of modernization and rationalization opportunities to reduce costs and promote a frugal architecture mindset.
• Design solutions leveraging SaaS and Native Cloud architectures and services, focusing on rationalizing and modernizing assets.
• Develop designs and integrations spanning both Mobile and Responsive Web, ensuring they are consumable across all roles.
• Participate with agile teams to ensure architecture standards are being maintained, promoting a platform and products approach.
• Frequently interact with peers and senior leaders as part of a cross-functional team, influencing business leaders and shaping business vision.
• Work within a matrixed environment, expanding knowledge of The Hartford’s lines of business and digital portfolio.
• Emphasize cost-conscious architecture and frugal architecture principles, ensuring that solutions are designed to be cost-effective and efficient.
• Foster a mindset of building platforms and products that prioritize speed to market and lower maintenance costs.

Qualifications:

• 5–8 years of experience in solution architecture, application architecture, or senior engineering roles within a large‑scale enterprise environment.
• Proven experience designing and delivering end‑to‑end technical solutions that support complex business requirements across multiple systems and teams.
• Demonstrated success working in matrixed, cross‑functional organizations with product, engineering, infrastructure, security, and operations teams.
• Proven experience architecting solutions using core cloud services, including:
• AWS: S3, ECS, Lambda, ALB, and related services
• GCP: Equivalent managed compute, storage, and integration services
• Strong experience with modern, open technology stacks, including:
• Programming languages: Java, Python, .NET
• Front‑end technologies: Angular, React
• Hands on expertise in application and system design, including: Microservices and service‑oriented architectures and Event‑driven and API‑based integration patterns
• Proven experience with integration technologies such as REST APIs, messaging platforms, streaming, and third‑party/SaaS integrations.
• Solid understanding of data architecture at the solution level, including data modeling, storage selection, data flows, and data movement across systems.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and how to design solutions that leverage cloud‑native services within enterprise guardrails.
• Experience defining and validating non‑functional requirements (performance, scalability, availability, resilience, security, and compliance).
• Experience developing or designing single-page applications utilizing contemporary frameworks such as Angular/React.
• Clear understanding of cloud, hybrid cloud, and container deployment architectures including building cloud-ready applications and container orchestration systems.
• Experience with Micro Frontends (MFEs), demonstrating the ability to design and implement modular and scalable front-end architectures.
• Experience of working with Agile/SAFe development teams.
• Strong written and verbal communication, presentation, and technical writing skills with the ability to effectively communicate solution recommendations and influence key stakeholders.
• Experience supporting solutions in regulated or compliance‑driven environments (e.g., financial services, healthcare, payments, or large SaaS enterprises) preferred.
• Cloud certifications and architecture certifications are preferred.

Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$131,600 - $197,400

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Consultant, Asset Owner - GF08AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Role Overview:

An Asset Owner plays an integral role in the successful design, deployment, adoption, and sustainability of analytical assets across the organization. In this role, the Consultant, Asset Owner (Senior Technical Writer) partners closely with actuarial modelers, data scientists, and data engineers within the Actuarial Strategic Modeling team to ensure high-quality, consistent, and compliant documentation across the full model lifecycle.

This role supports modeling teams within the Actuarial department by translating complex analytical and engineering work into clear, well-structured documentation and executive-ready materials. Acting as a first line consultant, this individual ensures documentation aligns with internal Model Risk Management standards and accurately reflects model intent, design, and use.

This role serves as a senior individual contributor and trusted documentation expert, influencing documentation quality, consistency, and best practices across the Actuarial Strategic Modeling organization. This role is responsible for authoring, reviewing, and engineering high-quality model documentation and supporting strong documentation adoption and sustainability across the department.

Responsibilities:

• Partner with actuarial, data science, and engineering teams as the primary documentation-focused Asset Owner for modeling assets across the Actuarial Strategic Modeling organization.
• Author and maintain end-to-end model documentation covering the full analytical lifecycle.
• Produce and manage documentation in Markdown format using modern IDEs such as VS Code.
• Ensure documentation adheres to internal Model Risk Management standards and aligns broadly with industry best practices.
• Review and enhance documentation produced by model developers to ensure appropriate depth, clarity, consistency, structured writing quality and technical rigor.
• Participate in model peer reviews, synthesizing feedback and supporting post-review documentation updates while serving as an objective contributor.
• Develop process visuals, data flow diagrams, and model design artifacts using tools such as Visio or draw.io to clearly communicate analytical workflows, controls and information architecture.
• Create compelling presentations and written materials for department leadership that effectively communicate complex modeling concepts, results, and outcomes.
• Support multiple concurrent initiatives across lines of business, managing competing priorities and timelines while maintaining high documentation quality.
• Manage documentation lifecycle activities including versioning, archival, and accessibility across GitHub and SharePoint repositories to support record retention and audit readiness.
• Contribute to the development, maintenance, and continuous improvement of internal SharePoint pages and documentation resources supporting the department.
• Leverage modern tooling, including familiarity with Python-based model workflows, GitHub workflows, and docs-as-code practices to support documentation efficiency and quality.
• Identify opportunities to improve documentation processes, templates, standards, and adoption across the department.
• Support Agile ways of working, including iterative documentation updates aligned to sprint-based delivery.

Qualifications:

Basic Qualifications:

• Graduate degree with 2 or more years of experience, or bachelor’s degree with 4 or more years of experience, in a technical, quantitative, or writing-intensive discipline.
• Demonstrated experience writing or engineering technical documentation for analytical, actuarial, data science, or statistical modeling assets.
• Experience documenting models across the full model lifecycle, from development through implementation and monitoring.
• Strong ability to translate complex technical and analytical concepts into clear, structured, and logically organized documentation for both technical and non-technical audiences.
• Proficiency with Markdown, modern development environments, and documentation workflows.
• Comfort reviewing Python code and collaborating closely with data scientists and engineers.
• Strong proficiency with Microsoft Office tools, with emphasis on Word, PowerPoint, and SharePoint.
• Excellent written and verbal communication skills with strong attention to detail and editorial quality.
• Proven ability to manage multiple initiatives simultaneously and work effectively across cross-functional teams.
• Self-starter with strong ownership, accountability, judgment, and collaboration skills.

Preferred Qualifications:

• Experience working within Model Risk Management frameworks or documentation standards aligned to SR 11-7, including audit‑ready documentation practices.
• Insurance or financial services industry experience, particularly in pricing, underwriting, actuarial modeling, or analytics.
• Familiarity with Sphinx, static site generation, or other structured authoring or technical documentation pipelines.
• Experience using GitHub and GenAI-assisted development tools such as Copilot.
• Agile or Product Owner experience.
• Prior experience supporting peer reviews, remediation efforts, or first line documentation reviews related to risk or audit activities.

Work Arrangement:

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office three days a week, Tuesday through Thursday.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$94,000 - $141,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits