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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Product Management - Governance - **Company:** Johnson & Johnson - **Location:** New Brunswick, NJ, United States - **Experience:** Expert - **Salary:** $102,000.0 - $155,771.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Confluence, JIRA, Information Systems, Data Dictionary, Information Engineering, Data Governance, Meta-Data Management, Metadata Repositories, Metadata Standards, Power BI, Requirements Management, Information Technology, Collibra, Data Analytics, Data Management, Meditech - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/17189ed2-8dc6-4f99-8bf2-e44900ddc276 ## About the Role * Required Education: Bachelor's degree or equivalent experience Data Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life Sciences, or a related field is required; advanced degree experience preferred. * Required Experience: A minimum of 5 years of significant experience in data product management, data governance, data stewardship, analytics, business analysis, or enterprise data enablement is required. * Preferred Experience: Experience working in a regulated environment such as MedTech, healthcare, pharmaceutical, or another highly governed industry. * Technical & Functional Skills: Confirmed experience with data catalogs, business glossaries, metadata management, data quality practices, requirements documentation, and multi-functional delivery methods. Familiarity with tools such as Alation, Collibra, Jira, Confluence, Power BI, or related platforms is an asset. * Leadership Proficiencies: Good communication, team member management, analytical problem-solving, prioritization, teamwork skills, with the ability to influence across business and technology teams. ## Description The Manager, Data Product Management - Governance will support the delivery, adoption, and governance of data products across Johnson & Johnson MedTech Digital Solutions. This role will ensure data products are well-defined, discoverable, trusted, and aligned to business priorities, enterprise data standards, and applicable regulatory expectations. The position partners closely with business collaborators, data owners, technology teams, governance partners, and data engineering teams to translate business needs into clear data product requirements. The role will advance consistent data product practices, strengthening data transparency, and supporting balanced operating models enabling compliant, scalable, and business-relevant use of data. Key Role Responsibilities * Data Product Governance: Support the definition, implementation, governance practices, including ownership, stewardship, controls, metadata expectations, and lifecycle management. * Business Requirements & Product Enablement: Partner with business team members to collect, clarify, and prioritize product data needs! * Translating business outcomes into clear requirements, acceptance criteria, and delivery-ready documentation for technical teams. * Catalog, Glossary & Metadata Management: Maintain and improve business glossaries, data dictionaries, metadata standards, and catalog entries are searchable, understandable and consistently defined. * Data Quality & Stewardship: Coordinate with data owners, stewards, and functional partners to define data quality expectations * Multi-functional Partnership: Collaborate with technology, data engineering, architecture, privacy, legal, regulatory, and records management partners. * Operating Model & Adoption: Support the development of repeatable processes, playbooks, governance forums, and communications to improve and sustain business value! ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)