Lead stewardship of critical Pharma R&D data domains, ensuring data quality, compliance, and usability across the research and development value chain.
Lead / mentor a team of data stewards and partner closely with governance, data product, and business domain leaders.
Operationalize data standards, resolve data issues, and deliver trusted, governed data products.
Oversee the implementation and management of MDM initiatives while ensuring accurate, consistent, and complete data across the organization.

Bachelor’s degree in Life Sciences, Information Systems, Data Management, or related field; advanced degree preferred.
7+ years of experience in data stewardship, governance, or data management, with strong exposure to Pharma R&D data.
Proven track record of defining governance frameworks and leading cross-functional teams while mastering critical master data domains relevant to R&D.
Proven ability to manage and mentor data stewardship teams.
Deep understanding of Pharma R&D data domains, regulatory requirements, and data standards.
Strong understanding of data management principles, practices, and hands-on experience with stewardship and metadata platforms (e.g., Informatica CDGC/CDQ for cataloging and business metadata, Collibra, Reltio (MDM), Databricks).
Strong problem-solving and stakeholder management skills with ability to balance scientific, operational, and compliance needs.
Excellent written and verbal communication skills; ability to present stewardship and metadata value to leadership.
Demonstrated commitment to building a culture of data trust, quality, and contextual understanding.

Senior Manager, Data Steward – AI

Key skills