
Job Description Summary
Location: Dublin, IrelandJob Description
Key Responsibilities:
Define and implement data governance policies and standards for BR, ensuring consistency, integrity, and compliance across the organization
Partner with the Head of Data and Platform to embed data governance principles into technology solutions, including “data governance as code”
Lead the anonymization of Novartis patient-level data to enable compliant secondary research use on Data42
Collaborate closely with the Head of Data on enterprise data management (EDM) activities
Support the execution of the BR data strategy by ensuring alignment with business and data governance requirements
Monitor and continuously improve data governance and data quality practices across BR, driving accountability and measurable outcomes
Ensure ongoing audit readiness by maintaining robust controls, documentation, and compliance processes
Serve as Deputy Enterprise Data Officer (EDO), providing leadership, guidance, and continuity in data governance and oversight activities
Essential Requirements:
15+ Years of experience in Data Governance or related field, with strong interest in Governance and Application of AI
PhD or MSc in Statistics, Bioinformatics, Computer Science, Biostatistics, or a related quantitative discipline.
Experience in drug discovery and/or life sciences, with an understanding of target="_blank">https://www.novartis.com/about/strategy/people-and-culture
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Accessibility and accommodation:
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Clinical Trials, Data Architecture, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Global Project Management, Operations, People Management