Lead Analyst/Technical Product Owner (AI & Data & Analytics) for Innovative Medicine Technology Supply Chain.
Major Duties and Responsibilities
- Own AI/Data & Analytics product vision, strategy, and roadmap for MAKE and DELIVER supply chain processes.
- Translate manufacturing/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, SQA, and Security on risk-based validation.
- Define/track KPIs, OKRs, and value realization metrics; represent product area in governance/planning/investment forums.
Required Qualifications
- Bachelorβs degree in CS/Engineering/Data Science or related.
- 5+ years in analytics, product ownership, or technology leadership.
- Enterprise-scale AI/data/analytics delivery experience.
- Experience with manufacturing/supply chain/operations analytics.
- Regulated (GxP) environment experience.
- Agile/product-centric delivery model experience.
Key Skills/Abilities
- Data platforms/analytics architectures and AI/ML lifecycles; cloud-native architectures; BI/analytics tools.
- Data governance, quality, and data integrity; strong stakeholder communication.
Preferred Qualifications
- Life sciences/pharmaceutical manufacturing and distribution experience.
- Exposure to optimization, digital twins, or GenAI; familiarity with CSA/validation/inspection readiness.
Benefits (explicitly listed)
- Medical, dental, vision, life insurance; short/long-term disability; retirement (pension + 401(k)); time off (vacation, sick time, holidays, parental leave, etc.).