NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a diligent and analytical ODM Business Operations Manager to join NVIDIA’s Data Center organization — the team constructing the world’s AI factories. In this position, you will assist in developing how NVIDIA partners with the globe’s top manufacturing collaborators to bring forth next-generation AI infrastructure. You’ll be a member of a fast-paced, data-driven team that merges engineering, operations, and finance into one execution engine. We appreciate individuals who transform data into insight, insight into action, and action into measurable outcomes. In this role, you will collaborate with top ODMs and NVIDIA teams to build scalable processes, efficient operations, and data-driven insights for the AI supply chain.
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.
With competitive salaries and generous benefits packages, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most thoughtful and dedicated people working for us and, due to unparalleled growth, our outstanding teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, then we want to you on our team!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's or Master's degree in Data Science, Business, or Finance, or equivalent experience
- 12+ years of experience in hardware operations, manufacturing analytics, or financial planning
- Experience in data center, semiconductor, or hyperscaler environments
- Data analysis, modeling, and visualization experience using Tableau and Microsoft Office
- Knowledge of ODM/OEM business structures, production processes, and logistics operations
- Strong communication and execution skills across global, cross-functional teams
- Ability to build predictive modeling frameworks linking operational data with business outcomes
- Experience driving process automation or analytics transformation in complex manufacturing or supply-chain networks
- Supply chain management, manufacturing optimization, and scenario analysis experience
- MBA
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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