below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$161,250–$248,245
— the blue band above.
At the midpoint, this role pays about
$282k
versus about
$205k
for comparable roles.
Based on 240 similar postings.
Employer
About The Hartford
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has
70 open roles
on FindRole.
Listed pay typically runs
$127,600–$191,400
across 29 roles with salary data.
The Vice President, Applied AI Science for Employee Benefits leads the strategy, execution, and governance of AI-driven transformation across enrollment, billing, customer service, and operational functions. This leader oversees a diverse portfolio of Machine Learning, Generative AI, Agentic AI, and predictive analytics solutions to improve growth, efficiency, and accuracy. Day-to-day responsibilities include defining domain-level strategy, managing the end-to-end data science lifecycle, and ensuring adherence to responsible AI practices and model risk management. The role requires expertise in retrieval-augmented systems, forecasting, operational optimization, and unstructured data modeling. The position solves complex business problems within the Employee Benefits and healthcare-related domains, specifically focusing on service automation, contact center intelligence, and billing accuracy while navigating regulatory requirements such as HIPAA and ERISA to maintain competitive positioning in service-heavy insurance operations.
Define and lead the Applied AI and data science strategy for Employee Benefits across enrollment, billing, and service delivery.
Drive business process transformation by implementing machine learning, generative AI, and predictive analytics solutions.
Oversee the end-to-end AI lifecycle from problem framing and model development to deployment and continuous monitoring.
Ensure strict adherence to enterprise AI governance, model risk management, and responsible AI practices.
Lead executive decision-making regarding trade-offs between quality, risk, cost, scalability, and time-to-value for AI initiatives.
Manage cross-functional prioritization, investment planning, and workforce strategy to align AI projects with measurable business outcomes.
Champion the reuse and standardization of AI assets to enable scalable deployment across multiple portfolios.
Monitor external AI trends and regulatory requirements to maintain competitive positioning and ensure compliance.
What we're looking for
Must have a Bachelor’s degree.
Must have 20+ years of applicable experience in Applied AI, data science, machine learning, or related quantitative fields.
Must have 10+ years of experience leading large, complex organizations, including leadership of senior leaders across multiple teams or portfolios.
Must have demonstrated experience operating at a VP level, influencing enterprise direction while owning outcomes across multiple lines of business.
Must possess strong technical and regulatory fluency across generative AI, agentic AI, retrieval-augmented systems, and production AI operations.
Must have deep expertise in data science and quantitative methods, including forecasting, operational optimization, and cost/efficiency modeling.
Must have strong expertise in AI governance, model risk management, and responsible AI practices.
Master’s or Ph.D. in a quantitative, technical, actuarial, or business field (preferred).
Experience applying data science and AI within Employee Benefits, healthcare-related domains, or complex service-heavy insurance operations (preferred).
Generative AI
Machine Learning
Model Development Lifecycle
Model Governance
Technical Program Management
Agile
Agentic AI
Responsible AI
Model Risk Management
Data Governance
Process Improvement
Model Monitoring
AI Controls
Data Management
Generative AI
Responsible AI
AI Governance
Machine Learning
Model Risk Management
Fairness Testing
Risk Assessment
Agentic AI
Foundation Models
Statistics
Data Science
Quantitative Science
Model Context Protocols
Monitoring Frameworks
Compliance
Machine Learning
Generative AI
LLMs
NLP
Deep Learning
MLOps
Predictive Analytics
Data Science
Model Governance
Responsible AI
Entity Extraction
Fraud Detection
Remote (North Carolina)30 days ago
$130,000–$180,000
Generative AI
Large Language Models
RAG
Machine Learning
Python
Azure
AWS
GCP
Agentic AI
Data Pipelines
APIs
Observability
Data Governance
Responsible AI
Data Science
Generative AI
Agentic AI
Data Architecture
Lakehouse Architecture
Data Governance
Platform Engineering
AI Platform
Metadata Management
Data Quality
Mainframe
Identity Resolution
Enterprise Architecture
Data Products
AI Strategy