AI-Driven Market Access Data Leader

BioSpace

Cambridge (MA)

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

Sanofi in Cambridge, MA is seeking a Market Access AI & Data Management Lead to govern US Market Access analytics, own data standards, and ensure data assets are cataloged, tagged, and AI-ready for consumption by Pricing, Government Pricing, Finance, and Access Strategy teams.

This role sits at the intersection of business and technology, coordinating with Digital and Data Engineering to define metadata, data contracts, quality rules, and audit-ready processes that enable scalable, trusted AI

Responsibilities

  • Serve as the Data Management Lead (DML) for the Market Access & Pricing domain serving as the governance lead for data asset development.
  • 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.
  • 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.
  • 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.
  • 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,

Job description

Sanofi in Cambridge, MA is seeking a Market Access AI & Data Management Lead to govern US Market Access analytics, own data standards, and ensure data assets are cataloged, tagged, and AI-ready for consumption by Pricing, Government Pricing, Finance, and Access Strategy teams.

This role sits at the intersection of business and technology, coordinating with Digital and Data Engineering to define metadata, data contracts, quality rules, and audit-ready processes that enable scalable, trusted AI

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