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Sanofi

Global pharma company; vaccines and R&D

Market Access AI & Data Management Lead

Data ManagementConfirmed live in the last 24 hours
Full-time$148.5k - $214.5k

About the Job

Requirements

  • At least 5 years of experience in data management, data governance, analytics, or auditing within pharmaceuticals, 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.
  • Bachelor's degree; the field of study is open.
  • Strong understanding of data governance principles, including data quality, metadata management, data lineage, access control, stewardship, and audit readiness in a complex, multi-stakeholder environment.
  • Familiarity with AI-ready data frameworks and preparing 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, gross-to-net, contracting, or pricing, with the ability to understand data use in financial and analytical decisions and translate it into data management requirements.
  • Experience evaluating and working with data management and governance tools such as Informatica CDGC, Collibra, Alation, dbt, Dagster, Airflow, or similar metadata cataloging and data quality platforms.
  • Working knowledge of Jira and Confluence.
  • Ability to coordinate across business stakeholders, including Pricing, Government Pricing, Finance, and Access Strategy, and technical teams, including Digital, Data Engineering, and vendors.
  • Ability to translate complex data concepts into plain language for business stakeholders and business requirements into actionable specifications for technical teams.
  • High standard for accuracy and data quality in governance decisions affecting financial reporting, AI model reliability, and audit outcomes.

Responsibilities

  • Serve as the Data Management Lead for the Market Access and Pricing domain and govern data asset development, ensuring all data assets meet enterprise AI-ready data standards, are registered in the data catalog, and have defined business and technical metadata.
  • Lead AI-ready data progression for Market Access and Pricing assets, driving Medallion certification across domain data assets by coordinating Business Data Stewards, Technical Data Stewards, and Product Owners and ensuring data contracts meet stakeholder needs.
  • Own business metadata, the semantic layer, and ontological definitions for Market Access data, working with Contracting, Government Pricing, Finance, Demand Forecasting, and Access Strategy stakeholders to define business descriptions, labels, and queryability for nontechnical users and AI systems.
  • Coordinate semantic-layer development with Digital and Data Engineering, translate business requirements into technical specifications for metadata cataloging and data lineage documentation, and validate the resulting layer against business understanding and data use.
  • Establish and maintain data standards, definitions, ownership, and stewardship processes for the Market Access and Pricing domain; ensure assets are classified, protected through role-based access controls, and compliant with enterprise governance frameworks and audit requirements.
  • Own data quality oversight by defining rules and thresholds, monitoring quality scores, coordinating resolution of issues with upstream data owners and Digital teams, and ensuring data quality for financial reporting, AI model inputs, and downstream analytics. Monitor production workloads for data asset deliveries and rectify issues promptly under established service-level agreements, working with appropriate parties or independently.
  • Establish an audit-readiness playbook so data processes are observable and defensible and the team can respond to internal or external inquiries about how data is sourced, processed, and used in financial and analytical outputs.
  • Recommend tools and platforms for data management, governance, metadata cataloging, and AI readiness; assess fit for Market Access use cases, coordinate pilots or proof-of-concept evaluations, and advise leadership on adoption with Digital and enterprise data management teams.
  • Partner with the Analytics Product Manager and Data Engineering team so data products published to the enterprise data mesh have governed, AI-ready foundations and downstream consumers can use them without analyst intervention.
  • Coordinate with Contracting, Government Pricing, Finance, and Access Strategy stakeholders to understand their uses for Market Access data, capture requirements for access, reporting views, and analytical use cases, and translate needs into data product and governance priorities.
  • Stay current on data management practices, AI-readiness frameworks, and enterprise data tools; bring external perspectives and best practices into Sanofi's approach and identify opportunities to advance AI-readiness maturity.
  • Ensure evaluation frameworks are in place to steer AI systems toward more accurate results.

Desired Qualifications

  • Familiarity with enterprise data platforms such as Snowflake or Databricks and with data mesh concepts.
  • Experience working within or alongside agile delivery teams, such as Scrum or SAFe.
  • Exposure to AI/ML data requirements and AI-ready data concepts, including feature engineering, data completeness, and semantic consistency.
  • An advanced degree is preferred but not required; relevant experience and demonstrated impact are weighted equally.

About the Company

Sanofi

Global pharma company; vaccines and R&D

Sanofi is a global pharmaceutical and biotechnology company that develops, manufactures, and sells prescription medicines, over-the-counter products, and vaccines. Its products span immunology, oncology, rare diseases, and vaccines, addressing unmet medical needs through a strong focus on research and development. Sanofi's core product model relies on large-scale R&D, strategic partnerships, and licensing to bring new therapies to markets, with revenue generated from product sales and collaborations. The company differentiates itself by leveraging its global reach, diverse portfolio, and emphasis on patient-centric solutions, safety, and quality to navigate regulatory environments in developed and emerging markets. The company’s goal is to improve health outcomes and quality of life for people worldwide by delivering innovative treatments and vaccines that meet unmet medical needs.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1973

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