Job Description Summary

The location for this role is East Hanover, NJ.

Job Description

Novartis seeks an Executive Director with extensive experience in AI strategy development and execution. The ideal candidate will have a proven ability to lead AI initiatives and possess a deep understanding of AI best practices and pharmaceutical data and external data vendors.

The Executive Director of Functional AI and Process Excellence, works with a team of other EDs of Functional AI and Process Excellence leads across Novartis as part of a Functional Working Group, to elevate NVS capabilities, catalyze adoption, accelerate culture change and pull-through process changes in close partnership and coordination with the Function Head, or a member of the Function leadership team.

Reporting to the Head of AI & Innovation, Insights and Decision Sciences, this role serves as a thought leader and catalyst for AI adoption, process mapping and optimization, guiding functional teams in leveraging AI to enhance business performance. By fostering a strong AI culture, implementing best practices, and ensuring alignment with the broader AI strategy, this role will enable Novartis to maximize the value of AI investments within their respective functional areas.

This role is also accountable as a standing member of the AI Functional Working Group, is accountable to fully participate and drive functional adoption of enterprise standards, governance and pull-through of AI and Data programing, training and other centrally created use cases, programs and initiatives, the Process Excellence team and their respective functional areas, ensuring that AI solutions, Process Optimizations are strategically deployed, governed effectively, and continuously optimized to support enterprise-wide objectives.

Major Accountabilities:

• Lead efforts in function to embed AI into functional workflows, ensuring AI solutions enhance decision-making, operational efficiency, and business impact.
• Foster a culture of innovation and data-driven decision making within each function to promote knowledge-sharing, cross-functional collaboration, and the scaling of successful AI initiatives.
• Provide oversight on AI deployment within functions, ensuring adherence to governance frameworks, regulatory requirements, and ethical AI principles.
• Establish performance objectives for other in functional AI efforts, leads and implement metrics to measure AI’s impact on functional and business goals, ensuring AI value realization is consistently assessed.
• Ensure functional area teams have knowledge of available AI applications
• Identify, assess, and prioritize AI opportunities within functions, ensuring AI initiatives are strategically aligned, scalable, and focused on high-value business outcomes.
• As part of the AI Functional Working Group, ensure Novartis stays at the forefront of AI-driven healthcare transformation by leveraging cutting-edge AI practices to enhance the organization's competitive edge in healthcare.
• Work across General Management, Marketing, Customer Engagement, Market Access, Novartis Patient Support, and Medical to drive AI-led innovation, ensuring AI is leveraged effectively to enhance business performance.
• As a core member of the AI Functional Working Group (FWG) the AI lead is accountable to the Head of AI Strategy and Innovation to ensure functional AI opportunities are aligned with the US strategy, and executed in alignment and coordination with AI governance.
• Lead efforts in function to identify key processes, partner on process mapping (within the function and BPE) and identification of opportunities to drive future efficiency, effectiveness and technology opportunities

Requirements:

Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field.

Additional qualifications are as follows:

• Ten plus years of experience in AI strategy, digital transformation, data science, or product management, with a focus on AI adoption within large, matrixed organizations
• Deep knowledge of AI and data technologies (e.g., machine learning, NLP, predictive analytics) and their application in commercial, medical, and operational functions
• Deep understanding of the functional area landscape, including strong focus on strategic insights, decision science, and/or analytics within the respective domain
• Proven leadership experience in driving AI adoption, managing cross-functional teams, and influencing senior stakeholders to align AI initiatives with business goals
• Experience in AI governance, ethics, and compliance, ensuring responsible AI deployment that aligns with regulatory and industry standards
• Track record of building and scaling functional AI excellence, fostering collaboration, knowledge-sharing, and capability-building within an organization
• Exceptional communication and executive presence, with the ability to engage and influence senior leadership, present AI insights, and drive strategic decision-making
• Passion for innovation and continuous learning, staying ahead of AI advancements, emerging trends, and best practices to drive long-term AI transformation

The pay range for this position at commencement of employment is expected to be between $194,600.00 to $361,400.00 a year; however, while salary ranges are effective from 1/1/26 through 12/31/26, fluctuations in the job market may necessitate adjustments to pay ranges during this period.  Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

​

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Budget Management, Business Acumen, Digital capabilities, Effective use of technology, Operational Excellence Projects, Performance Management, Project Management, Risk Management, Service Delivery Management, Stakeholder Management, Strategic Leadership, Strategic Planning, Talent Development

Job Description Summary

LI-Hybrid

Novartis has an exciting opportunity for a Director, Analytics Standards & Impact Measurement. This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics. By ensuring that analytics outputs, whether built by expert data scientists or citizen data scientists using self-serve platforms, meet the highest standards of AI/ML validity, regulatory compliance, and business value, this director enables democratized, trustworthy analytics at scale while measuring and communicating the return on analytics investments.

This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international).

Job Description

Key Responsibilities

• Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms, ensuring citizen data scientists follow rigorous methodologies automatically.
• Establish model validation protocols, testing frameworks, and quality gates built into automated workflows for predictive models and AI solutions.
• Create standardized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis) that can be templatized for citizen data scientists.
• Define enterprise-wide frameworks for measuring analytics impact including lift analysis, ROI calculation, incrementality measurement, and business value assessment.
• Execute enterprise-level impact measurement studies to quantify business value of analytics initiatives and report quarterly/annual ROI to leadership.
• Establish production-readiness criteria for AI/ML models from self-serve platforms, including quality thresholds, documentation requirements, and approval workflows.
• Ensure all AI, ML, and data science outputs meet regulatory requirements ( HIPAA, GDPR, promotional review) and partner with Legal, ERC, and Medical Affairs on governance.
• Monitor outputs from self-serve platforms, conduct model audits, and provide feedback to platform teams on quality improvements.

Essential Requirements

• Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field; or bachelor’s degree with 10+ years relevant experience.
• 10+ years of experience in data science, machine learning, advanced analytics, or AI development.
• 5+ years of leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare.
• Expert knowledge of advanced analytics methodologies: machine learning, causal inference, experimental design, predictive modeling, AI validation.
• Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
• Proficiency in data science/AI programming and AI/ML platforms.
• Proven ability to influence without direct authority and drive adoption of AI/ML standards across diverse teams.
• Exceptional communication skills; ability to translate complex AI/ML concepts for business audiences and executives.

Preferred Qualities

• Experience with self-serve analytics and AI platforms and embedding governance into automated workflows.
• Strong business acumen with ability to measure and communicate ROI of AI/ML initiatives to C-suite.
• Systems thinker who can balance AI/ML rigor with practical business needs and timelines.
• Experience building communities of practice and enabling citizen data scientists in AI/ML development.

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Job Description Summary

LI- Hybrid

Novartis has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations. This role is responsible for building next-generation, AI-powered automated data pipelines and scalable data repositories that enable enterprise data science and analytics at scale. By leveraging advanced AI technologies, modern data engineering tools, and feature engineering platforms, this director creates self-service, analytics-ready datasets and enterprise feature stores that empower both expert data scientists and citizen data scientists to rapidly develop, deploy, and scale models.

This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international.

Job Description

Key Responsibilities

• Design and implement intelligent, self-healing data pipelines that leverage AI/ML for automated data quality monitoring, anomaly detection, and remediation.
• Build and maintain centralized feature stores that enable feature reusability across multiple models and use cases.
• Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving layers.
• Develop automated feature engineering pipelines that transform raw data into analytics-ready features with lineage tracking.
• Partner with Enterprise IT to optimize analytics platform architecture for high-performance data science workloads.
• Build automated pipelines that integrate diverse data sources including sales, CRM, patient claims, real-world evidence, and unstructured data.
• Create self-service data access layers that empower data scientists and analysts to query and extract data independently.
• Establish SLAs for data availability, freshness, and quality; implement monitoring and observability solutions.

Essential Requirements

• Advanced degree in Computer Science, Data Engineering, or related field;
• 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure.
• 5+ years leading teams building enterprise-scale data platforms and feature stores.
• Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, Databricks Feature Store).
• Deep expertise in modern data platforms optimized for ML workloads (Databricks, Auto ML, Snowflake, BigQuery).
• Strong proficiency in Python, SQL, Spark/PySpark for large-scale data processing.
• Experience with data orchestration tools (Airflow, Prefect, dbt) and CI/CD for data pipelines.
• Understanding of data governance, privacy (HIPAA, GDPR), and compliance in life sciences.

Preferred Qualities

• Proven track record of implementing AI/ML-powered automation in data engineering workflows.
• Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability).
• Builder mindset with ability to create scalable, self-service capabilities that reduce dependency on data engineering.
• Experience in pharmaceutical, healthcare, or life sciences industry.
• Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture.

Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Job Description Summary

About the role:

LI:Onsite

The Oncology Data Science team in Biomedical Research supports the Oncology Disease Area with computational biology, Artificial Intelligence / Machine Learning (AI/ML), and data engineering for novel therapeutics across multiple drug modalities. As integrated scientists and engineers, we apply advanced analytics to pre-clinical and clinical projects, enabling progress in target discovery, drug development, and translational and clinical science.

We seek a Director of Data Science to lead our global team of US and Europe-based data scientists specializing in Low Molecular Weight (LMW) drug development who will guide the LMW data science team, collaborate closely with Oncology stakeholders and Biomedical Research, and introduce innovative data-driven solutions to enhance our LMW portfolio and benefit patients.

Job Description

Key Responsibilities:

• Lead and develop a global team of US and Europe-based data scientists, driving high-quality data science that is grounded in deep understanding of biology and applicable data science methodologies and approaches.
• Co-develop and execute a data science strategy to enable and enhance innovation in the LMW drug development space.
• Closely align with the Oncology Drug Development teams to represent the low molecular weight data science function and ensure effective embedding of data science in drug development teams and alignment on scientific direction.
• Regularly interface with Oncology Disease Area leaders to align priorities and to effectively deploy resources.
• Collaborate closely with the Oncology Data Science AI team and other teams such as generative chemistry teams on the development and implementation of innovative machine learning algorithms, AI models, and platforms to enable the delivery of predictive and prescriptive insights.
• Actively engage with stakeholders within partner functions, such as IT, Chemistry and Technology departments and build strong partnerships and shared projects.
• As a member of the Oncology Data Science Leadership team, contribute to Oncology Data Science overall direction and management, represent the low molecular weight portfolio as a function.
• Closely collaborate with Oncology Data Science engineering teams to ensure team adherence to data standards, data governance and data strategy and ensure the application of best practices in analytics and high standards of reproducibility in research across the team.
• Play a leading role in matrix teams such as Translational Data Science Clusters around disease areas or teams centered around key technologies such as genomics, proteomics, spatial technologies etc.
• Present and externalize work of the team in conferences, abstracts and scientific journals.

Essential Requirements:

• This position will be located at the Cambridge, MA site and will not have the ability to be located remotely. This position will require 10% travel as defined by the business (domestic and/ or international).
• Ph.D. in data science, computational biology or related fields, strong scientific mindset, with a deep understanding of biology, oncology and low molecular weight drug development process.
• 10+ years of experience in a data science role in oncology drug development.
• Excellent leadership and management skills, with 5+ years of people management experience in the data science space.
• Experience with Quality Control (QC) and data analysis for common assays, such as bulk RNA-seq, scRNA-seq and/or chromatin-based assays (ChIP-seq, ATAC-seq, Hi-C).
• Strong expertise in quantitative and computational biology approaches, general AI/machine learning and statistical modeling techniques and a proven track record of delivering data-driven insights and solutions.
• Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.
• Proven history of contributions to the scientific community in the form of papers and/or conference presentations.

Preferred Requirements:

• Experience with AI/ML approaches specific to the low molecular weight field including computational chemistry and application of generative AI in chemistry.
• Experience with cell line profiling, shRNA or CRISPR perturbation screens, high content cell imaging, proteomics or in vivo efficacy analysis.

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

Job Description Summary

This position will be located at the East Hanover, NJ location and will not have the ability to be located remotely.

This is 1 of 2 roles.

Job Description

The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization.

This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the IDS AI and Innovation team members to create, pilot, and scale AI tools to support broader goals of the IDS strategy to transform business processes and outcomes.

Key Responsibilities:

• Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units.

• Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.

• Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.

• Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies.

• Champion the exploration and integration of cutting-edge AI technologies, particularly in the field generative AI.

• Act as a key liaison between the US commercial team and the India-based data science team.

• Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies.

• Bring a “can-do” attitude and teamwork and inspire others on culture change.

• Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices

Experience:

Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support cross-team development of AI programs. A firm commitment to driving continuous improvement in AI solutions, informed by current innovations, is vital to this role.  

Essential Requirements:

• Advanced degree in Computer Science, Engineering, Statistics, or related field

• Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industry is preferred.

• Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure

• Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation system

• Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios.

• Ability to operate in a hands-on capacity when necessary.

• Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch

• Experience with digital channel selection for “next best action”

• Excellent problem-solving skills and ability to identify creative solutions to complex problems

• Strong ability to effectively communicate and work across different time zones

The pay range for this position at commencement of employment is expected to be between: $194,600.00 and $312,400.00 a year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period.  Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

Job Description Summary

LI-Remote

This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager.

The Executive Director, Functional AI & Process Excellence – Market Access works across the US Market Access function to identify opportunities to implement AI technologies to solve the toughest pricing and access challenges pharmaceutical manufacturers face. This leader will collaborate with the Novartis Data and AI Innovation teams to design and scale AI solutions that expand patient access, improve the sustainability of the pricing model, and drive operational efficiencies across all key areas of US Market Access.

Reporting to the VP of Payer and Pricing Strategy, this role serves as a thought-leader and catalyst for AI adoption, process mapping, and guiding functional teams in leveraging AI to enhance business performance. By fostering a strong AI culture, implementing best practices, and ensuring alignment with the broader AI strategy, this role will enable Novartis to maximize the value of AI investments within Market Access and across the enterprise. This role is also accountable to the Head of AI Innovation as a standing member of the AI Functional Working Group, which is a central governance board tasked to manage all functional AI initiatives across Novartis ensuring that solutions are strategically deployed, governed effectively, and continuously optimized to sup-port enterprise-wide objectives.

Job Description

Key Responsibilities:

• Lead efforts in Market Access to embed AI into functional workflows, ensuring AI solutions enhance decision-making, operational efficiency, and business impact
• Foster a culture of innovation and data-driven decision making within Market Access to promote knowledge-sharing, cross-functional collaboration, and the scaling of successful AI initiatives
• Provide oversight on AI deployment within functions, ensuring adherence to governance frameworks, regulatory requirements, and ethical AI principles.
• Establish performance objectives for others in functional AI efforts, leads and implement metrics to measure AI’s impact on functional and business goals, ensuring AI value realization is consistently assessed
• Ensure functional area teams have knowledge of available AI applications
• Identify, assess, and prioritize AI opportunities in Market Access, ensuring AI initiatives are strategically aligned, scalable, and focused on high-value business outcomes
• Lead efforts to prepare Market Access data for AI implementation via organizing, connecting, creating logic/business rules, validating, and storing existing data assets to be used as the foundation for future AI initiatives
• As part of the AI Functional Working Group, ensure Novartis stays at the forefront of AI-driven healthcare transformation by leveraging cutting-edge AI practices to enhance the organization's competitive edge in healthcare
• Work across General Management, Marketing, Customer Engagement, Market Access, Novartis Patient Support, and Medical to drive AI-led innovation, ensuring AI is leveraged effectively to enhance business performance.
• Provide guidance to Novartis Data and AI Innovation teams on AI solution design, logic, business objective, and user interface to ensure viability at scale and adherence to governance frameworks, regulatory requirements and ethical AI principles
• As a core member of the AI Functional Working Group, this role will be accountable to the Head of AI Strategy and Innovation to ensure Market Access opportunities are not duplicative, but complementary to other AI initiatives from adjacent functions and align well with the enterprise AI strategy

Essential Requirements:

• Education: Bachelor's or Master's degree in Information Management, Computer Science, Finance, Economics, Business Administration, or related field
• 10+ years of experience in AI strategy, digital transformation, data science, or product management, with a focus on AI adoption within large, matrixed organizations
• Deep understanding of the US Market Access landscape, including strong focus on strategic insights, decision science, and/or analytics within the respective domain. Payer and Channel Pricing, Account Management, Gross-to-Net, Rebate Operations, and Contracting is preferred
• Deep knowledge of AI and data technologies (e.g., machine learning, NLP, predictive analytics) and their application in commercial functions
• Proven leadership experience in driving AI adoption, managing cross-functional teams, and influencing senior stakeholders to align AI initiatives with business goals. Proven track record of manipulating and analyzing large, disparate, complex Market Access and other pharmaceutical industry datasets to answer key business questions and make critical commercial decisions
• Experience in AI governance, ethics, and compliance, ensuring responsible AI deployment that aligns with regulatory and industry standards
• Track record of building and scaling functional AI excellence, fostering collaboration, knowledge-sharing, and capability-building across key commercial functions of a pharmaceutical company. Deep understanding of Market Access and Brand commercialization strategies to contextualize AI use case development
• Exceptional communication skills and executive presence, with the ability to engage and influence senior leadership, present AI insights, and drive strategic decision-making
• Passion for innovation and continuous learning, staying ahead of AI advancements, emerging trends, and best practices to drive long-term AI transformation

Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$194,600.00 - $361,400.00

Skills Desired

Agility, Agility, Business Acumen, Business Strategy, Channel Strategy, Cross-Functional Collaboration, Cross-Functional Team Leadership, Customer-Centric Mindset, Employee Development, External Orientation, Global Value Chain (Gvc), Go-To-Market Strategy, Healthcare Sector Understanding, Health Economics, Health Policy, Health Technology Assessment (HTA), Influencing Skills, Innovation, Inspirational Leadership, Lcm Strategy, Market Access Strategy, Negotiation Skills, Patient Care, People Management, Pricing Strategy {+ 12 more}

Job Description Summary

About the role:

LI:Onsite

Are you ready to make a lasting impact by building the future of oncology research? Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you’ll be at the forefront of shaping early clinical development by building innovative biomarker data infrastructure, championing translational research, unlocking AI-powered discoveries, and raising the bar for operational excellence in biomarker data and multimodal analytics across Novartis’ oncology trials.

Job Description

Key responsibilities:

• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.

Essential Requirements:

• This position will be located at the Cambridge, MA site and will not have the ability to be located remotely. This position will require 0-3% travel as defined by the business (domestic and/ or international).
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.

Desirable requirements:

• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.

The salary for this position is expected to range between $176,400 and $327,600 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$176,400.00 - $327,600.00

Skills Desired

Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis