Lead Product Analyst- AI and Data & Analytics
Johnson & Johnson
June 25, 2026
Remote friendly (Raritan, NJ)
United States
IT
Lead Analyst/Technical Product Owner (AI and Data & Analytics) supporting Innovative Medicine Supply Chain (MAKE and DELIVER) in a regulated (GxP) environment.
Major Duties and Responsibilities:
- Own product vision, strategy, and roadmap for AI and Data & Analytics solutions.
- Translate manufacturing and distribution needs into epics, features, and user stories with acceptance criteria.
- Maintain/prioritize a value-driven backlog balancing innovation, compliance, risk, and technical debt.
- Partner with Architecture, Engineering, and Data Science to deliver scalable, secure, platform-aligned solutions.
- Enable advanced analytics and AI use cases across production, logistics, and distribution.
- Ensure compliance with GxP, data integrity, privacy, and cybersecurity requirements.
- Collaborate with Technical Quality, Software Quality Assurance, and Security on risk-based validation.
- Define/track KPIs, OKRs, and value realization metrics.
- Represent the product area in governance, planning, and investment forums.
Required Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years in analytics, product ownership, or technology leadership.
- Enterprise-scale AI/data/analytics delivery experience.
- Manufacturing/supply chain/operations analytics experience.
- Regulated (GxP) environment experience.
- Agile or product-centric delivery model experience.
Required Knowledge/Skills:
- Advanced knowledge of data platforms, analytics architectures, and AI/ML lifecycles.
- Ability to translate business needs into analytical/product outcomes.
- Cloud-native architectures and modern BI/analytics tools.
- Data governance, data quality, and data integrity.
- Strong communication to influence senior stakeholders.
Preferred Qualifications/Skills:
- Pharmaceutical/life sciences manufacturing & distribution experience.
- Exposure to advanced analytics, optimization, digital twins, or GenAI.
- Familiarity with CSA, validation, and inspection readiness for digital/AI solutions.
Required Skills:
- Agile product ownership; roadmap and backlog management; value-based prioritization.
- Analytical thinking/problem solving; stakeholder management/executive communication.
- Change management and user adoption enablement.
- SDLC.
Major Duties and Responsibilities:
- Own product vision, strategy, and roadmap for AI and Data & Analytics solutions.
- Translate manufacturing and distribution needs into epics, features, and user stories with acceptance criteria.
- Maintain/prioritize a value-driven backlog balancing innovation, compliance, risk, and technical debt.
- Partner with Architecture, Engineering, and Data Science to deliver scalable, secure, platform-aligned solutions.
- Enable advanced analytics and AI use cases across production, logistics, and distribution.
- Ensure compliance with GxP, data integrity, privacy, and cybersecurity requirements.
- Collaborate with Technical Quality, Software Quality Assurance, and Security on risk-based validation.
- Define/track KPIs, OKRs, and value realization metrics.
- Represent the product area in governance, planning, and investment forums.
Required Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 5+ years in analytics, product ownership, or technology leadership.
- Enterprise-scale AI/data/analytics delivery experience.
- Manufacturing/supply chain/operations analytics experience.
- Regulated (GxP) environment experience.
- Agile or product-centric delivery model experience.
Required Knowledge/Skills:
- Advanced knowledge of data platforms, analytics architectures, and AI/ML lifecycles.
- Ability to translate business needs into analytical/product outcomes.
- Cloud-native architectures and modern BI/analytics tools.
- Data governance, data quality, and data integrity.
- Strong communication to influence senior stakeholders.
Preferred Qualifications/Skills:
- Pharmaceutical/life sciences manufacturing & distribution experience.
- Exposure to advanced analytics, optimization, digital twins, or GenAI.
- Familiarity with CSA, validation, and inspection readiness for digital/AI solutions.
Required Skills:
- Agile product ownership; roadmap and backlog management; value-based prioritization.
- Analytical thinking/problem solving; stakeholder management/executive communication.
- Change management and user adoption enablement.
- SDLC.