Head - Data Governance
Listed on 2026-07-20
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IT/Tech
Information Security & Data Protection, Information & Knowledge Management, Data Engineering, Data Warehousing
Job Title
Head – Data Governance
LocationMorristown, NJ or Cambridge, MA
About the JobJoin the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions. You will join a strategic team within R&D Digital Data Office that coordinates cross‑R&D data governance, methodologies, processes, and frameworks for data collection and use, enabling data innovation, efficiency gains, and quality and compliance across R&D.
As the Head of Data Governance for R&D, you will serve as the strategic leader accountable for defining and orchestrating data governance frameworks and processes across the R&D organization, primarily focusing on clinical, portfolio, and CMC domains. You will define and champion the data playbook, frameworks, and change management strategy for the Federated DaaP (Data as a Product) operating model, enabling data transformation and AI‑at‑scale ambitions.
You will ensure all data usage remains compliant with data use policies and processes while maximizing value through cross‑functional collaboration with Digital R&D teams.
- Define and orchestrate comprehensive data governance frameworks and best practices across clinical, portfolio, and CMC domains.
- Champion the data playbook and Federated DaaP operating model, driving consistent and scalable governance practices.
- Establish policies, standards, processes, and a data community of practice that embed governance into the fabric of R&D data management.
- Define data best practices, frameworks, and guidelines to ensure consistent and effective data governance across the organization.
- 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.
- Establish data risk classification methodologies and business metadata standards that enable trusted, governed data consumption.
- Drive data lineage, cataloging, and discoverability initiatives to enhance transparency and traceability.
- Partner with business, legal, compliance, data privacy, cybersecurity, and digital teams to embed governance processes and frameworks.
- 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 adopt Governance as Code (GaaC) and AI‑powered governance tools that accelerate data capabilities, including data risk classification, business catalogues, data quality, and data observability.
- Leverage automation and intelligent tooling to reduce manual governance overhead and increase scalability.
- Lead the change management strategy for the federated data model and data community of practices, ensuring broad organizational adoption.
- Foster a culture of data accountability, stewardship, and ownership across all levels of the organization.
- Build and nurture cross‑functional data governance communities of practice that empower data producers, consumers, and stewards.
- Drive stakeholder engagement and adoption through targeted communication, training, and enablement programs.
- Establish metrics and KPIs to measure governance maturity, adoption, and business impact over time.
- 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…
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