Manager, Data Product Owner

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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Latina, Italy, Leiden, Netherlands, Ringaskiddy, Cork, Ireland, Zug, Switzerland

Job Description:

Johnson & Johnson is recruiting for a Manager, Data Product Owner as part of our Data Strategy and Operations team.

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.

As part of our growing Data Analytics team, you will own and evolve key data assets that serve multiple business domains within IMSC. You will ensure that these assets are FAIR (Findable, Accessible, Interoperable, and Reusable), trusted, and widely used to enable data-driven decision-making across the supply chain.

You will collaborate closely with data engineers, business process owners, and digital product teams to ensure our data products are designed with business value at their core, are accurately documented, and meet the highest standards of data quality and integrity.

Key Responsibilities:

• Own and steward data assets to ensure they are FAIR, trusted, and used.
• Bridge the gap between business needs and technical capabilities by translating requirements into data blueprints in collaboration with Data Design Leaders.
• Define, implement, and monitor data quality rules and thresholds to drive continuous improvement.
• Support the technical deployment and adoption of data assets within the organization.
• Oversee data asset lifecycle management — from design and development through maintenance and retirement.
• Maintain and enhance business metadata and data catalog entries to improve data discoverability and understanding.
• Ensure accurate data lineage from source to consumption.
• Promote effective use of existing data structures to generate insights and enable business excellence.
• Drive the rationalization of data assets, APIs, and review policies to optimize value creation.

Qualifications - External

Education:

• A bachelor's or higher degree is required
• Focused degree in Supply Chain, Data Analytics, or related field is preferred

Experience and Skills:

Required:

• At least five (5) years of work experience
• Data management expertise (in depth knowledge of data governance, data quality management and metadata management principles)
• Technical proficiency with data management tools and technologies (Data catalog, data lakehouse etc.)
• Deep knowledge of the supply chain operations, including understanding processes, rules, and data requirements.
• Experience in driving business value with Data capabilities
• Strong stakeholder management skills and proven ability to translate business requirement and process requirements to data models that drive value for internal customers
• Experience in managing projects and initiatives related to data asset stewardship and lifecycle management

Preferred:

• Experience in the Pharmaceuticals and/or Healthcare industries
• Strong background in supply chain data e.g. SAP S/4

• Knowledge on regulatory requirements related to data (e.g. GxP, HIPAA, SOX)

• Capacity to align data initiatives with organizational goals and drive data driven decision making

• Ability to adapt to changing business needs and emerging technologies in the data landscape
• Demonstrates analytics skills and strategic thinking
• Leading with purposes and sense of urgency

Other:

• This position may require up to 10% of domestic or international travel

Required Skills:

Preferred Skills:

Advanced Analytics, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive Leadership, Leadership, Proactive Behavior, Resource Allocation, Strategic Thinking, Team Management