Director, SC Data

Job Function

Data Analytics & Computational Sciences

Business Intelligence

People Leader

New Brunswick, New Jersey, United States of America

Palm Beach Gardens, Florida, United States of America

Raynham, Massachusetts, United States of America

Warsaw, Indiana, United States of America

West Chester, Pennsylvania, United States of America

DePuy Synthes is recruiting for a Director, SC Data, located in New Brunswick, NJ United States.

The Director, Supply Chain Data leads the Data & AI strategy and delivery agenda for the DePuy Synthes Supply Chain function. Working in close collaboration with Supply Chain business and IT teams, this role translates business needs into a prioritized portfolio of data, analytics, and AI initiatives, manages demand end‑to‑end, and coordinates with the Global Capability Center (GCC) for scalable delivery.

The Director is the primary connection point between Supply Chain stakeholders, IT partners, and GCC delivery teams, ensuring data products, analytics, and AI capabilities are aligned to business priorities and drive measurable outcomes across planning, procurement, manufacturing, inventory, logistics, and customer service. The role requires strong business partnership, data leadership, and people leadership to advance data‑driven decision making and operational excellence across the global supply chain.

• Define and execute the Supply Chain Data & AI strategy in partnership with Supply Chain business and IT leadership, aligned to DePuy Synthes enterprise priorities.
• Work in close collaboration with Supply Chain business and IT teams to understand needs from a Data and AI perspective and translate them into actionable solutions.
• Own end‑to‑end demand management, intake, prioritization, and governance, for Supply Chain data, analytics, and AI initiatives.
• Coordinate with the GCC to plan, resource, and deliver data products, analytics, and AI capabilities at scale.
• Serve as the primary point of contact between Supply Chain, IT, Data & AI teams, and the GCC delivery organization.
• Develop and maintain a multi‑year roadmap for supply chain data products, reporting, advanced analytics, and AI use cases.
• Lead cross‑functional teams to design and deliver data solutions supporting planning, procurement, manufacturing, distribution, quality, and customer fulfillment.
• Drive adoption of data governance, master data management, data quality, and data stewardship practices across supply chain domains.
• Oversee delivery of dashboards, analytics products, predictive models, and AI‑enabled solutions that improve decision making and performance.
• Establish KPI and value‑realization frameworks to track business impact from data and AI investments.
• Manage stakeholder relationships and communicate roadmaps, priorities, risks, dependencies, and achievements to leadership.
• Build organizational capability by coaching, mentoring, and developing talent across data, analytics, and AI teams, including GCC‑based colleagues.
• Lead operating and portfolio governance reviews to ensure transparency, prioritization, and alignment across work streams.
• Champion continuous improvement through advanced analytics, automation, machine learning, and emerging AI capabilities.

• Required:
  
  Bachelor's degree in Supply Chain, Engineering, Information Systems, Data Science, Computer Science, Business, Operations Management, or a related field.
• Preferred:
  Master's degree (MBA, Supply Chain Management, Analytics, Data Science, or Engineering).

Required

• 10+ years of progressive experience across Supply Chain, Data & Analytics, or Digital Transformation, including leadership roles.
• Demonstrated experience partnering with business and IT leaders to define and deliver enterprise data and AI strategies.
• Strong understanding of Supply Chain processes (planning, procurement, manufacturing, inventory, logistics, distribution, customer service).
• Proven experience managing demand, prioritization frameworks, and delivery portfolios.
• Experience coordinating distributed/GCC delivery teams in a global, matrixed…