Lead Product Analyst – AI, Data & Analytics

Responsibilities

• Own the product vision, strategy, and roadmap for AI and Data & Analytics solutions supporting MAKE and DELIVER Supply Chain processes.
• Translate manufacturing and distribution business needs into epics, features, and user stories with clear acceptance criteria.
• Maintain and prioritize a value-driven backlog balancing innovation, compliance, risk, and technical debt.
• Partner with Architecture, Engineering, and Data Science teams to deliver scalable, secure, and platform-aligned analytics and AI solutions.
• Enable advanced analytics and AI use cases across production, logistics, and distribution operations.
• Ensure compliance with GxP, data integrity, privacy, and cybersecurity requirements.
• Collaborate with Technical Quality (TQ), Software Quality Assurance (SQA), and Security on risk-based validation approaches.
• Define and track KPIs, OKRs, and value realization metrics tied to MAKE and DELIVER outcomes.
• Represent the product area in governance, planning, and investment forums.

• 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 life cycles
• 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.