ODM Business Operations Manager at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AI, Data Center, ManufacturingIndustries

Requirements

Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience (MBA preferred)
8+ 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 teamwork matter

Responsibilities

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

Skills

Key technologies and capabilities for this role

Business OperationsData AnalyticsOperational ModelsDashboardsSupply Chain ManagementCapacity PlanningYield AnalysisShipment TrackingFinancial AnalysisGovernance FrameworksMetrics Standardization

Questions & Answers

Common questions about this position

What education and experience are required for the ODM Business Operations Manager role?

A Bachelor’s or Master’s degree in Data Science, Business, or Finance (or equivalent experience) is required, along with 8+ years of experience in hardware operations, manufacturing analytics, or financial planning, ideally in data center, semiconductor, or hyperscaler environments.

What key skills are needed for this position?

Candidates need proven strength in data analysis, modeling, and visualization using tools like Tableau and Microsoft Office, proficient knowledge of ODM/OEM business structures, production processes, and logistics, plus outstanding communication and execution skills.

What is the company culture like at NVIDIA for this role?

You'll join a fast-paced, data-driven team in NVIDIA’s Data Center organization that merges engineering, operations, and finance, immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What makes a candidate stand out for this ODM Business Operations Manager role?

Stand out with an MBA, experience in data center/semiconductor environments, and demonstrated ability to build predictive modeling frameworks; a track record in fast-paced, cross-functional settings with accuracy, speed, and teamwork is key.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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