Lead Data Product Owner at Johnson & Johnson
Overview
Data Product Owner leading end‑to‑end functional data products at Johnson & Johnson driving innovation in healthcare. This role owns product vision and lifecycle while mentoring a team of junior Data Product Owners. Impact measured by improved data quality and business value.
What You'll Do14
- 1Own the end‑to‑end lifecycle for functional data products including vision roadmap and value hypotheses
- 2Collaborate with cross‑functional teams to deliver compliant data capabilities
- 3Define and maintain domain data models metadata and business glossaries
- 4Establish and monitor product KPIs and SLAs for data quality latency availability and usage
- 5Implement data quality controls and lead root cause investigations for data issues
- 6Ensure solutions meet architectural security privacy and regulatory standards
- 7Manage migrations of legacy data to target architectures
- 8Maintain documentation onboarding processes and user support
- 9Lead, mentor and develop 2–5 junior Data Product Owners
- 10Provide coaching on governance stakeholder engagement and lifecycle decisions
- 11Facilitate cross‑team alignment and escalation of risks
- 12Support capacity planning and recruitment for the functional team
- 13Represent the team in governance forums and leadership reviews
- 14Drive measurable improvements in data product performance and adoption
Requirements18
- 1Bachelor’s degree in Computer Science Information Systems Engineering Business Analytics Supply Chain Technology or related field
- 2Proven product ownership experience owning data domains end‑to‑end in a large federated organization
- 3Experience managing and coaching 1–3 direct reports
- 4Strong knowledge of data governance data lifecycle management data modelling and metadata management
- 5Familiarity with cloud data platforms Azure and modern data engineering concepts
- 6Experience defining and tracking data SLAs KPIs and operating metrics
- 7Solid business acumen translating business needs into data product requirements
- 8Excellent stakeholder management communication and facilitation skills
- 9Experience working with cross‑functional data teams engineers analysts governance architects
- 10Professional proficiency in English written and spoken
- 11Preferred Master’s degree in a related field
- 12Hands‑on experience with data governance tools data catalogs metadata management or DQ tooling
- 13Programming experience SQL Python or similar and advanced database knowledge
- 14Supply Chain experience manufacturing function
- 15Background in regulated environments GxP privacy security and compliance
- 16Prior experience running lifecycle migrations or legacy data re‑pointing projects
- 17Certifications in product management data management or cloud technologies
- 18Competencies strategic thinking operational rigor ownership mindset strong collaboration inclusive leadership proactive resilience balanced priority management developing others efficiency analysis emerging technologies inclusive leadership information security risk management performance measurement stakeholder engagement strategic thinking team management
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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