Senior Material Procurement Manager

NVIDIA has an outstanding opportunity for a Materials Planning Manager to join our Procurement Management team in Yokneam, IL. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain

What You Will Be Doing

• Own the end-to-end supply chain strategy for the PREL phase, ensuring full material and supply readiness ahead of MP transition.
• Identify and implement protective measures (guardbands) across supply, materials, and manufacturing to eliminate risk at MP entry.
• Lead cross-functional readiness reviews, driving alignment between Engineering, Operations, CM, and procurement stakeholders.
• Proactively address material shortages, lead times, and supplier constraints to mitigate supply chain risks.
• Define and monitor PREL-to-MP readiness metrics using digital dashboards and data-driven insights for real-time tracking of materials readiness and supply versus demand performance.
• Collaborate cross-functionally with Planning and Business Units to drive demand analysis and long-range forecasting and high-volume production portfolios
• Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply–demand alignment, and enable predictive, insight-based decision-making
  
  

• B.Sc. in Industrial Engineering , related field or equivalent experience.
• Minimum of 5+ overall years of experience in materials management, procurement, or supply chain management within a semiconductor OEM environment.
• Strong technical knowledge of semiconductor materials and contract manufacturing processes.
• Strong understanding of ERP/MRP systems, tools driven by artificial intelligence, and platforms for analyzing supply chain data.
• Ability to thrive in a fast-paced, multifaceted environment and effectively prioritize tasks.
  
  

• Master's degree
• Experience with agentic AI systems in supply chain applications