Nvidia Senior Manager Materials Planning Management 

United States, California 

242300459

What you will be doing:

• Lead, mentor, and develop a high-performing team of Materials Planners by defining objectives, priorities, and performance metrics aligned with organizational objectives.

• Coordinate the end-to-end materials planning management for new product introductions (NPI) from initial concept to production launch.

• Ensure material readiness to support program achievements, including prototyping for multi-source qualifications, production ramp-up, and full-scale manufacturing.

• Work closely with Engineering to ensure Bill of Materials (BOM) accuracy and risk-buy readiness align with program requirements.

• Proactively address material shortages, lead times, and supplier constraints to mitigate supply chain risks.

• Develop and implement materials and supply chain strategies to ensure supply readiness and support delivery objectives.

• Employ digital tools to improve supplier collaboration and streamline procurement processes across all global regions.

• Champion data-driven decision-making to anticipate challenges and uncover opportunities for efficiency.

• Establish and monitor critical metrics, using digital dashboards for real-time tracking of materials readiness and supply versus demand performance.

What we need to see:

• Bachelor’s degree in supply chain management, Business Administration, Engineering, or a related field or equivalent experience (master’s degree preferred).

• Minimum of 12 overall years of experience (with 6+ years managing a team) in materials management, procurement, or supply chain management within a semiconductor OEM environment.

• Proven experience leading digital transformation initiatives in supply chain management, particularly involving AI technologies.

• Strong understanding of supply chain processes, NPI cycles, and material planning systems.

• Strong technical knowledge of semiconductor materials and contract manufacturing processes.

• Excellent communication, negotiation, and leadership skills.

• 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, dynamic environment and effectively prioritize tasks.

• Experience with agentic AI systems in supply chain applications is preferred.