TPM- IMT Supply Chain Plan Analytics & AI

Technology Product Manager – Plan Analytics & AI Products

This role is a technology leader responsible for shaping and delivering analytics and AI products that enable the IM Supply Chain Plan function at Johnson & Johnson. The TPM owns technology product strategy, architecture alignment, and delivery of analytics and AI solutions, partnering closely with Business Product Owners to co‑create product roadmaps and prioritize value delivery.

• Own the technology product capability for Plan Analytics & AI products (including Control Tower, OTIF, etc.), defining vision, roadmap, and value realization in partnership with Business Product Owners.
• Define and manage a consolidated technical product roadmap aligned to GPEX priorities and enterprise data & AI strategy.
• Lead the end‑to‑end delivery of analytics and AI use cases, from ideation to deployment and scaling, ensuring adherence to SDLC, agile, and platform standards.
• Drive the evolution of the Control Tower platform, enabling real‑time visibility, predictive insights, and AI‑driven decision support across the planning value chain.
• Translate business requirements into scalable technology solutions, ensuring alignment with enterprise data platforms (CDL/lakehouse), semantic models, and AI architecture.
• Manage prioritization and dependencies across multiple analytics and AI initiatives, balancing business value, technical feasibility, and platform constraints.
• Ensure governance, quality, and compliance by aligning with data governance, security, and enterprise architecture standards.
• Lead and develop a small team and/or federated squads, providing clarity on priorities, delivery expectations, and technical direction.
• Demonstrate strong business and financial acumen to align analytics and AI investments with measurable planning outcomes.
• Drive adoption of analytics and AI products across global supply chain planning teams.
• Partner effectively across cross‑functional teams including data, engineering, business, and external partners.
• Show strong communication and influencing skills to align senior stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 8+ years of experience in technology product management, analytics, or AI domains.
• 5+ years of experience in enterprise data platforms (lakehouse, pipelines, data products).
• Proven experience delivering analytics solutions at enterprise scale.
• Experience with implementing AI solutions.
• Strong understanding of supply chain planning processes and analytics use cases.
• Experience leading cross‑functional teams in agile product environments.
• Ability to translate business needs into end‑to‑end technical solutions.
• Strong understanding of governance, data quality, and platform scalability principles.

• Advanced Analytics
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Performance Measurement
• Process Optimization
• Relationship Building
• Stakeholder Engagement
• Statistical Computing
• Strategic Thinking

Base pay range: $ – $. Employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Benefits include vacation (120 hours per calendar year), sick time (40 hours per calendar year; 48 for Colorado, 56 for Washington), holiday pay (13 days per year), work‑personal‑family time (up to 40 hours), parental leave (480 hours), bereavement leave (240 hours for immediate family, 40 for extended), caregiver leave (80 hours per 52‑week period), volunteer leave (32 hours), and military spouse time‑off (80 hours).