Director, Data Governance, Metadata & Cataloging

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, Data Governance, Metadata & Cataloging. 

This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA.   

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Position Summary 

The Director, Data Governance, Metadata & Cataloging is responsible for defining and operationalizing the frameworks, standards, and practices that ensure R&D data is trusted, well-documented, and easily discoverable. This role integrates data governance, metadata management, and data cataloging into a unified capability that drives data quality, compliance, and interoperability across the R&D data ecosystem. 

As part of the Data Strategy & Products team, the Director will partner with Master Data Management, Knowledge Management, Data Products, and Data Science teams to ensure governance, metadata, and cataloging enable the FAIR principles (Findable, Accessible, Interoperable, Reusable) and make R&D data “AI-ready.” 

Key Responsibilities: 

Data Governance Strategy & Execution 

• Define and execute the R&D data governance strategy, ensuring alignment with enterprise standards and regulatory requirements. 

• Establish clear ownership, stewardship, and accountability models across scientific and operational domains. 

• Drive adoption of controlled vocabularies, taxonomies, and standards across R&D. 

Metadata Management 

• Develop and manage metadata standards to describe, contextualize, and trace R&D data assets across their lifecycle. 

• Partner with ontologies and knowledge graph initiatives to ensure metadata is harmonized with enterprise semantic frameworks. 

• Ensure metadata captures data lineage, provenance, and business rules to support compliance, traceability, and reuse. 

Data Cataloging & Discoverability 

• Lead the implementation and ongoing management of enterprise data cataloging tools. 

• Ensure all critical R&D datasets, data products, and master data entities are indexed, searchable, and properly described. 

• Collaborate with data stewards and product owners to continuously enrich catalog content and improve user experience.