Senior Manager, Material Planning

NVIDIA•Santa Clara, CA

3d•$184,000 - $287,500

About The Position

NVIDIA is seeking a Senior Manager, Material Planning to lead its material planning team in a dynamic, quick-turn new product introduction (NPI) environment. The role is responsible for building team capability, establishing clear operating rhythms, and ensuring timely Clear to Build (CTB) decisions for engineering builds. The Senior Manager works closely with Engineering, Program Management, commodity managers, buyers, contract manufacturers, Logistics, Finance, and Data and IT teams to align priorities, close material gaps, and mitigate supply risk. The role also leads practical AI initiatives to improve decision quality, increase planner capacity, and scale the team as NPI complexity and volume grow. The role includes coaching and developing the planning team; designing scalable team structures, coverage models, and standard processes for concurrent global NPI programs; and partnering with Engineering Build Managers to ensure material readiness, successful builds, and on-time launches. It also involves maintaining accurate planning inputs in SAP and MRP, resolving shortages and supply constraints, leading shortage reviews and scenario planning, translating program changes and engineering change orders into material plans, and developing an AI roadmap that automates planning and improves data quality, predictability, controls, and measurable business impact. The expected base salary range is USD 184,000–287,500, with eligibility for equity and benefits. Applications will be accepted at least until November 6, 2026. This posting is for an existing vacancy.

Requirements

Bachelor's degree in supply chain, operations, industrial engineering, business, or a related field, or equivalent experience.
12+ years of progressive experience in material planning, supply planning, procurement, or supply chain operations.
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 Haves

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 knowledge of data, prompts, model evaluation, and responsible AI practices to guide technical partners.

Responsibilities

Lead, coach, and develop the material planning team, establishing priorities, accountability, and performance expectations.
Design scalable team structures, coverage models, and standard processes to support concurrent global NPI programs.
Partner closely with Engineering Build Managers 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.
Partner with commodity managers and contract manufacturers to resolve shortages, secure supply, and recover at-risk builds.
Lead shortage reviews and scenario planning, quantify impacts, assign actions, and escalate 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.