# Senior Material Planning Manager

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD – 287,500 USD
**Category**: Logistics & Supply Chain
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--Material-Planning_JR2025906?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_842ead34-bff

## Description

Join NVIDIA as a Senior Material Planning Manager, leading the material planning team in a dynamic, quick-turn new product introduction environment. You'll build team capability, establish clear operating rhythms, and ensure timely Clear to Build (CTB) decisions for engineering builds.

**Key Responsibilities:**

- Lead, coach, and develop the material planning team, establishing clear priorities, accountability, and performance expectations.

- Design scalable team structures, coverage models, and standard processes to support concurrent global NPI programs.

- Partner with Engineering Build Managers (EBMs) to ensure material readiness, successful builds, and on-time product launches.

- Maintain accurate demand, build quantities, lead times, BOM changes, and priorities within SAP and MRP.

- Collaborate with commodity managers and contract manufacturers to resolve shortages, secure supply, and recover at-risk builds.

- Lead shortage reviews and scenario planning, quantifying impacts, assigning actions, and escalating critical decisions.

- Translate program changes and engineering change orders into executable material plans and concise leadership updates.

- Develop and scale an AI roadmap that automates planning, improves data quality and predictability, strengthens controls, and measures business impact.

**Requirements:**

- Bachelor's degree in supply chain, operations, industrial engineering, business, or a related field, or equivalent experience.

- 12+ overall years of progressive experience in material planning, supply planning, procurement, or supply chain operations, including 6 years of leadership of planning teams.

- Demonstrated success supporting complex NPI or engineering-build environments with frequent changes in schedule, quantity, BOM, and priorities.

- Strong command of CTB management, MRP, inventory control, shortage management, BOM structures, and engineering change processes.

- Experience working with commodity managers, contract manufacturers, and global supply partners to resolve material constraints.

- Experience leading AI, analytics, automation, or digital transformation initiatives from business problem definition through adoption at scale.

- Proficiency with SAP or comparable ERP and MRP platforms, Excel, and planning or business-intelligence tools.

- Strong leadership, communication, and structured problem-solving skills, with the ability to manage tradeoffs and work across global time zones.

**Nice to Have:**

- Experience scaling a material planning organization for semiconductor, hardware, electronics, or other complex products.

- A record of improving CTB performance, planner productivity, or NPI execution through process redesign and data-driven operating mechanisms.

- Hands-on experience deploying AI-enabled planning solutions and enough knowledge of data, prompts, model evaluation, and responsible AI practices to guide technical partners.

**What We Offer:**

- Competitive salaries

- Generous benefits

- Equity eligibility

- Expected base salary range: 184,000 USD – 287,500 USD

## Skills

### Required
- material planning
- supply planning
- procurement
- supply chain operations
- leadership
- CTB management
- MRP
- inventory control
- shortage management
- BOM structures
- engineering change processes
- AI
- analytics
- automation
- digital transformation
- SAP
- ERP
- MRP platforms
- Excel
- planning tools
- business-intelligence tools

### Nice to have
- semiconductor
- hardware
- electronics
- complex products
- CTB performance
- planner productivity
- NPI execution
- process redesign
- data-driven operating mechanisms
- AI-enabled planning solutions
- data
- prompts
- model evaluation
- responsible AI practices

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--Material-Planning_JR2025906?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
