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. Requirements 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. #J-18808-Ljbffr Jobtailor