Head, Data Governance

Responsibilities

• Join a strategic team within R&D Digital Data office that plays a pivotal role in helping Sanofi unlock the full potential of data across the R&D value chain
• Serve as the strategic leader accountable for defining and orchestrating data governance frameworks and data processes across the R&D organization
• Define and champion the data playbook, frameworks, and change management strategy for the Federated DaaP (Data as a Product) operating model
• Ensure all data usage remains compliant with data use policies and processes while maximizing value through cross-functional collaboration with Digital R&D teams
• Champion the data playbook and Federated DaaP (Data as a Product) operating model, driving consistent and scalable governance practices
• Establish policies, standards, processes, and data community of practices that embed governance into the fabric of R&D data management
• Drive adherence to FAIR (Findable, Accessible, Interoperable, Reusable) data principles and processes to maximize data utility and value across the data lifecycle
• Implement robust data quality frameworks and data observability practices to ensure data is fit for purpose
• Engage with data producers, consumers, and stewards across the R&D value chain to ensure governance frameworks are practical and business-aligned
• Collaborate with development teams to drive adoption of Governance as Code (GaaC) and AI-powered governance tools that accelerate data capabilities

• Bachelor's degree required;
  Master's degree preferred in Life Sciences, Data Science, Information Systems, Computer Science, or a related field
• 10+ years of progressive experience in R&D data governance, data lifecycle management, or related fields
• 5+ years in leadership roles within the pharmaceutical, biotechnology, or life sciences industry
• Proven track record of implementing data governance frameworks and processes that drive cross-functional data trust, governance, and adoption in a regulated environment
• Experience governing large, complex data ecosystems in a regulated environment
• Strong leadership and global team management skills in a matrix environment
• Proficiency in data governance tools (e.g., Informatica) and modern data management platforms
• Deep expertise in data governance frameworks, data privacy regulations, and R&D standards and regulations
• Demonstrated ability to drive enterprise level change
• Significant experience in working with Clinical, Portfolio, and CMC data sets

Expertise in data governance frameworks and processes, with a strong focus on compliance and maximizing data utility across the R&D value chain. Proven leadership in driving enterprise-level change and fostering cross‑functional collaboration within the pharmaceutical and life sciences sectors.