Market Access AI & Data Management Lead

Sanofi; Morristown (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Sanofi is seeking a Market Access AI & Data Management Lead in Cambridge, MA to govern data assets, define AI-ready standards, and collaborate with Pricing, Government Pricing, Finance, and Access Strategy teams. You will drive data quality, metadata governance, and semantic layer development to enable AI-driven insights across US Market Access.

The role requires strong coordination with Digital and Data Engineering, a focus on audit readiness, and deep expertise in enterprise data platforms and

Qualifications

• 5+ years in data management, governance, analytics, auditing, or related field in pharma or regulated industry.
• Hands-on with governance frameworks, metadata cataloging, or data quality management.
• Experience with enterprise data platforms (Snowflake/Databricks) and data mesh concepts is preferred.

Responsibilities

• Serve as Data Management Lead for Market Access & Pricing domain; ensure AI-ready data standards and metadata.
• Lead AI-ready data progression and Medallion certification across domain data assets; coordinate with stewards and product owners.
• Own business metadata, semantic layer, and ontological definitions; ensure data is described and labeled for business use.

Skills

Data governance

AI-ready data

Cross-functional coordination

Business language for non-technical

Education

Bachelor's degree

Tools

Jira

Confluence

Snowflake

Databricks

Job description

• Job title: Market Access AI & Data Management Lead
• Location: Cambridge, MA

About the job

Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. We are an innovative global healthcare company, committed to transforming the lives of people with immune challenges, rare diseases and blood disorders, cancers, and neurological disorders. From R&D to sales, our talented teams work together, revolutionizing treatment, continually improving products, understanding unmet needs, and connecting communities. We chase the miracles of science every single day, pursuing Progress to make a real impact on millions of patients around the world.

The Market Access AI & Data Management Lead serves as the governance lead for US Market Access Analytics, owning the strategy and execution of how Market Access data assets are structured, governed, cataloged, and prepared for AI-driven consumption. This role ensures that Market Access and Pricing data, spanning contracting, government pricing, finance, demand, and claims, meets the highest standards of quality, discoverability, and AI-readiness. The Associate Director operates at the intersection of business and technology: defining how data should be understood and used by stakeholders across Pricing, Government Pricing, Finance, and Access Strategy, while coordinating with Digital, Data Engineering, and enterprise governance teams to ensure those standards are built and sustained. This role is central to Sanofi's ability to scale AI-powered analytics across US Market Access.

Join the team transforming care for people with immune challenges, rare diseases, cancers, and Specialty Care neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main responsibilities

• Serve as the Data Management Lead (DML) for the Market Access & Pricing domain serving as the governance lead for data asset development. This role is formally accountable for ensuring that all Market Access data assets (Source-Aligned, Process-Aligned, and Consumption-Aligned) meet enterprise AI-Ready Data standards, are registered in the data catalog, and have clearly defined business and technical metadata.
• Lead the AI-Ready Data progression for Market Access & Pricing data assets, driving the Medallion certification process across all domain data assets by coordinating business and digital roles (Business Data Stewards, Technical Data Stewards, Product Owners) and ensuring the data contract is met and meets stakeholder needs.
• Own the business metadata, semantic layer, and ontological definitions for Market Access data, working with stakeholders across Contracting, Government Pricing, Finance, Demand Forecasting, and Access Strategy to define how data should be described, labeled, and made queryable in business terms, so that non-technical users and AI systems can access and interpret it correctly.
• Coordinate the development of the semantic layer with Digital and Data Engineering teams, translating business requirements into technical specifications for metadata cataloguing, data lineage documentation, and validating that the resulting layer accurately reflects how the business understands and uses the data.
• Lead data governance for the Market Access & Pricing domain, establishing and maintaining data standards, definitions, ownership, and stewardship processes; ensuring data assets are properly classified, access-controlled through Role-Based Access Controls, and compliant with enterprise governance frameworks and audit requirements.
• Own data quality oversight for Market Access data assets, defining data quality rules and thresholds, monitoring data quality scores across assets, coordinating resolution of quality issues with upstream data owners and Digital teams, and ensuring that data quality meets the bar required for financial reporting, AI model inputs, and downstream analytics. This role should also monitor production workloads of data asset deliveries and be able to rectify issues in a timely manner according to established service level agreements, working with the appropriate parties or individually.
• Establish a playbook for audit readiness, ensuring data processes are observable and defensible, and that the team can respond confidently to internal or external audit inquiries about how data is sourced, processed, and used in financial and analytical outputs.
• Provide recommendations on tools and platforms that support data management, governance, metadata cataloging, and AI-readiness, assessing fit for Market Access use cases, coordinating pilots or proof-of-concept evaluations, and making recommendations to leadership on adoption, in partnership with Digital and enterprise data management teams.
• Partner with the Analytics Product Manager and Data Engineering team to ensure that data products published to the enterprise data mesh are built on well-governed, AI-ready foundations, and that downstream consumers can trust and use the data without requiring analyst intervention.
• Coordinate with Contracting, Government Pricing, Finance, and Access Strategy stakeholders to understand how they want to utilize Market Access data, capturing requirements for data access, reporting views, and analytical use cases, and translating those needs into data product and governance priorities.
• Stay current on emerging data management practices, AI-readiness frameworks, and enterprise data tooling, bringing external perspective and best practices into Sanofi's data management approach and identifying opportunities to accelerate the team's AI-readiness maturity.
• Ensure proper evaluation frameworks are in place to steer AI-systems to more accurate results.

About you

Basic Qualification

• Minimum of 5 years of experience in data management, data governance, analytics, auditing, or a related field within pharmaceutical, life sciences, or a similarly complex regulated industry.
• Hands-on experience with data governance frameworks, metadata cataloging, or data quality management, either as a practitioner or as a business-side lead coordinating with technical teams.
• Familiarity with enterprise data platforms (Snowflake, Databricks, or similar) and data mesh concepts preferred.
• Experience working within or alongside agile delivery teams (Scrum, SAFe, or similar) preferred.
• Exposure to AI/ML data requirements and what makes data "AI-ready" including feature engineering concepts, data completeness, and semantic consistency preferred.
• Bachelor's degree required; field of study is open, strong candidates come from a wide range of backgrounds including life sciences, engineering, information systems, mathematics, and beyond.
• What matters most is demonstrated ability to work with complex data environments, drive cross-functional alignment, and apply structured thinking to ambiguous problems.
• Advanced degree preferred but not required; relevant experience and demonstrated impact will be weighted equally.

Professional Skills and Competencies

• Strong understanding of data governance principles; data quality, metadata management, data lineage, access control, stewardship, and audit readiness, with the ability to apply these in a complex, multi-stakeholder environment.
• Familiarity with AI-Ready Data frameworks and what it takes to prepare structured data assets for AI and machine learning consumption, including metadata completeness, data quality scoring, and semantic layer development.
• Business acumen in pharmaceutical Market Access, GTN, contracting, or pricing with ability to understand how data is used in financial and analytical decisions and translate that into data management requirements.
• Experience evaluating and working with data management and governance tools (e.g., Informatica CDGC, Collibra, Alation, dbt, dagster, airflow, or similar metadata cataloguing and data quality platforms). Working knowledge of Jira and Confluence is a must.
• Strong cross-functional coordination skills with ability to work across business stakeholders (Pricing, GP, Finance, Access Strategy) and technical teams (Digital, Data Engineering, vendors) to drive alignment and execution.
• Structured thinker and clear communicator able to translate complex data concepts into plain language for business stakeholders, and business requirements into actionable specifications for technical teams.
• Detail-oriented with a high standard for accuracy, data quality, and governance decisions have direct implications for financial reporting, AI model reliability, and audit outcomes.
• Travel: Approximately 10%

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.