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Nvidia ODM Business Operations Manager 
United States, California 
368145254

Today
US, CA, Santa Clara
time type
Full time
posted on
Posted 3 Days Ago
job requisition id

What you'll be doing:

  • Lead business operations and analytics across NVIDIA’s ODM ecosystem, enabling manufacturing scalability and operational rigor.

  • Develop and maintain data-driven operational models and dashboards to track capacity, yield, and shipment performance across partners.

  • Partner with Finance, Operations, WWFO, and Product teams to connect operational metrics with financial outcomes.

  • Implement governance frameworks, standardized important metrics, and regular reviews to develop accountability and transparency across global sites.

  • Collaborate with ODMs and internal teams to boost data accuracy, efficiency visibility, and process automation.

What we need to see:

  • Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred).

  • 12+ years of experience in hardware operations, manufacturing analytics, or financial planning — ideally within data center, semiconductor, or hyperscaler environments.

  • Proven strength in data analysis, modeling, and visualization using tools including Tableau and Microsoft Office.

  • Proficient knowledge of ODM/OEM business structures, production processes, and logistics operations.

  • Outstanding communication and execution skills— you can transform data into clear insights and collaborate effectively across global teams for implementation.

  • A track record of excelling in fast-paced, cross-functional environments where accuracy, speed, and collaboration matter.

Ways to Stand Out from the Crowd:

  • Demonstrated ability to build predictive modeling frameworks that link operational data with business outcomes.

  • Proven success driving process automation or analytics transformation within a complex manufacturing or supply-chain network.

  • Sound comprehension of supply chain management, optimizing manufacturing processes, and performing scenario analysis for substantial operations.

  • Experience collaborating across engineering, finance, and operations to solve high-impact business challenges.

  • Passion for translating data into strategy — turning operational insights into measurable results that advance NVIDIA’s AI Factory mission.

You will also be eligible for equity and .