Manager, Data Product Management
Johnson & Johnson
August 25, 2026
On-site
Raritan, NJ
IT
Manager, Data Product Management – Governance
Key Role Responsibilities
- Data Product Governance: Support definition and implementation of governance practices, including ownership, stewardship, controls, metadata expectations, and lifecycle management.
- Business Requirements & Product Enablement: Partner with business teams to collect, clarify, and prioritize data product needs.
- Translate business outcomes into requirements, acceptance criteria, and delivery-ready documentation for technical teams.
- Catalog, Glossary & Metadata Management: Maintain and improve business glossaries, data dictionaries, metadata standards, and ensure catalog entries are searchable, understandable, and consistently defined.
- Data Quality & Stewardship: Coordinate with data owners/stewards 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 repeatable processes, playbooks, governance forums, and communications to improve and sustain business value.
Qualifications
- Required Education: Bachelor’s degree (or equivalent) in Data Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life Sciences, or related field, required; advanced degree preferred.
- Required Experience: 5+ years in data product management, data governance, data stewardship, analytics, business analysis, or enterprise data enablement.
- Preferred Experience: Regulated environment experience (MedTech, healthcare, pharmaceutical, or similarly governed industry).
- Technical/Functional Skills: Experience with data catalogs, business glossaries, metadata management, data quality practices, requirements documentation; familiarity with Alation, Collibra, Jira, Confluence, Power BI (asset).
- Leadership Proficiencies: Communication, team management, analytical problem-solving, prioritization, teamwork, and ability to influence across business and technology teams.
Key Role Responsibilities
- Data Product Governance: Support definition and implementation of governance practices, including ownership, stewardship, controls, metadata expectations, and lifecycle management.
- Business Requirements & Product Enablement: Partner with business teams to collect, clarify, and prioritize data product needs.
- Translate business outcomes into requirements, acceptance criteria, and delivery-ready documentation for technical teams.
- Catalog, Glossary & Metadata Management: Maintain and improve business glossaries, data dictionaries, metadata standards, and ensure catalog entries are searchable, understandable, and consistently defined.
- Data Quality & Stewardship: Coordinate with data owners/stewards 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 repeatable processes, playbooks, governance forums, and communications to improve and sustain business value.
Qualifications
- Required Education: Bachelor’s degree (or equivalent) in Data Analytics, Information Systems, Business Administration, Computer Science, Engineering, Life Sciences, or related field, required; advanced degree preferred.
- Required Experience: 5+ years in data product management, data governance, data stewardship, analytics, business analysis, or enterprise data enablement.
- Preferred Experience: Regulated environment experience (MedTech, healthcare, pharmaceutical, or similarly governed industry).
- Technical/Functional Skills: Experience with data catalogs, business glossaries, metadata management, data quality practices, requirements documentation; familiarity with Alation, Collibra, Jira, Confluence, Power BI (asset).
- Leadership Proficiencies: Communication, team management, analytical problem-solving, prioritization, teamwork, and ability to influence across business and technology teams.