Operations Manager
Dandy$116,500 - $137,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
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)
- 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
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
Questions & Answers
Common questions about this position
What experience level is required for the ODM Business Operations Manager role?
The role requires 12+ years of experience in hardware operations, manufacturing analytics, or financial planning, ideally within data center, semiconductor, or hyperscaler environments.
What education is needed for this position?
A Bachelor’s or Master’s degree in Data Science, Business, or Finance or equivalent experience is required, with an MBA preferred.
What key skills are essential for success in this role?
Proficiency in data analysis, modeling, and visualization using tools like Tableau and Microsoft Office is required, along with knowledge of ODM/OEM business structures, production processes, and logistics operations.
What is the work environment 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.
What makes a candidate stand out for this ODM Business Operations Manager position?
Candidates stand out with outstanding communication and execution skills to transform data into insights and collaborate across global teams, a track record in fast-paced environments, and demonstrated ability to build predictive modeling.
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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