Senior Manager, Data Products

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld 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 Med Tech, 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

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America

Johnson & Johnson Med Tech, a member of Johnson & Johnson's Family of Companies, is recruiting for a Senior Manager, Data Product Management & Governance
.

We have a pre-identified candidate for this position; however, other qualified candidates will also be considered.

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 Med Tech, 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

The Senior Manager, Data Product Management & Governance will lead business-facing data product strategy, intake, prioritization, governance, and marketplace enablement for Med Tech Supply Chain data products.

This role will help transform trusted, reusable, well-governed assets that support analytics, digital products, and AI-enabled decision-making.

The Senior Manager will partner closely with business collaborators, data product leaders, technology teams, data stewards, quality, privacy, legal, and regulatory partners to ensure data products are discoverable, usable, and aligned to business value.

• Establish and lead a structured intake process for product demand, collaborating with business to assess use cases, define value, clarify requirements, and prioritize work based on strategic alignment, feasibility, risk, and business impact.
• Lead the business-facing roadmap for assigned data products from concept through publication, adoption, improvement, and retirement.
• Translate team member clear product objectives, success measures, backlog priorities, and release-ready requirements for delivery teams.
• Lead the development and adoption of business definitions, domain taxonomies, product content improving data discoverability, understanding, and reuse.
• Partner with Alation and catalog team members to support a consistent, self-service data marketplace experience.
• Define and operationalize data product ownership, stewardship roles, decision rights, and critical issue paths.
• Partner with domain leaders and stewards to maintain business context, data definitions, documentation, access expectations, and lifecycle controls.
• Cross-Functional Delivery Partnership:
  Serve as the primary business-facing partner to data engineering, architecture, platform, and ecosystem product teams.
• Adoption, Value Realization, and Continuous Improvement:
  Track adoption, usage, team member feedback, and business value measures for published data products. Find opportunities to improve data product usability, reduce duplication, increase reuse, and accelerate responsible analytics and AI enablement,
• People and Team member Leadership:
  Provide leadership, mentor, and direction supporting data curation, stewardship, metadata enrichment, and marketplace operations. Build positive relationships across business, digital, technical, and governance communities.

• Education:
  
  Bachelor's degree, advanced degree or equivalent experience in business, information systems, data analytics, supply chain, engineering, healthcare, or a related field
• Experience:
  
  A minimum of 8 years of substantial experience in data governance, data and digital product management, or enterprise data platforms, is required.
• Regulated Environment:
  Experience working in a regulated, and global enterprise environment. Experience in Med Tech, healthcare, pharmaceutical, life sciences, supply chain, quality, or manufacturing environments is strongly preferred.
• Data Product and Governance Expertise:
  Confirmed experience with data-as-a-product practices, business glossary development, metadata management, data catalog or marketplace platforms, data stewardship, data quality concepts, access governance, and product lifecycle…