Lead Product Analyst- AI and Data & Analytics

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +2

Lead Product Analyst/Technical Product Owner for AI and Data & Analytics (AIDA) team supporting the Innovative Medicine Supply Chain (MAKE and DELIVER functions). Role operates at the intersection of business strategy, advanced analytics, AI, and technology delivery in a regulated (GxP) environment. Responsibilities include owning product vision, strategy, roadmap, translating business needs into user stories, prioritizing backlog, partnering with teams for delivery, enabling AI use cases, ensuring compliance, and defining KPIs.

What you'd actually do

  1. Own the product vision, strategy, and roadmap for AI and Data & Analytics solutions supporting MAKE and DELIVER Supply Chain processes.
  2. Translate manufacturing and distribution business needs into epics, features, and user stories with clear acceptance criteria.
  3. Maintain and prioritize a value-driven backlog balancing innovation, compliance, risk, and technical debt.
  4. Partner with Architecture, Engineering, and Data Science teams to deliver scalable, secure, and platform-aligned analytics and AI solutions.
  5. Enable advanced analytics and AI use cases across production, logistics, and distribution operations.

Skills

Required

  • Agile product ownership
  • product strategy and roadmap development
  • backlog management and value-based prioritization
  • Advanced analytical thinking and problem solving
  • Stakeholder management and executive communication
  • Change management and user adoption enablement
  • SDLC
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • 5+ years of experience in analytics, product ownership, or technology leadership roles
  • Proven experience delivering enterprise-scale AI, data, or analytics solutions
  • Experience supporting manufacturing, supply chain, or operations-focused analytics
  • Experience operating in regulated (GxP) environments
  • Experience working in Agile or product-centric delivery models
  • Advanced knowledge of data platforms, analytics architectures, and AI/ML lifecycles
  • Ability to translate complex manufacturing and distribution business needs into actionable analytical and product outcomes
  • Strong understanding of cloud-native architectures and modern BI/analytics tools
  • Knowledge of data governance, data quality, and data integrity principles
  • Excellent communication skills with the ability to influence senior stakeholders

Nice to have

  • Experience in pharmaceutical or life sciences manufacturing and distribution
  • Exposure to advanced analytics, optimization, digital twins, or GenAI solutions
  • Familiarity with CSA, validation, and inspection readiness for digital and AI solutions
  • Enterprise thinking and long-term strategic perspective
  • Manufacturing and logistics analytics solution design
  • Cloud technologies and scalable architectures

What the JD emphasized

  • regulated (GxP) environment
  • GxP
  • data integrity
  • privacy
  • cybersecurity requirements
  • risk-based validation approaches

Other signals

  • AI and Data & Analytics products
  • advanced analytics and AI use cases
  • AI/ML lifecycles