Not specified (assumed hybrid based on industry norms).
12+ years hardware operations experience
Data analysis and modeling proficiency
Tableau and microsoft office expertise
NVIDIA is seeking an ODM Business Operations Manager to join its Data Center organization, focusing on enhancing AI infrastructure through partnerships with leading manufacturers. The role requires extensive experience in hardware operations and data analytics, with an emphasis on collaboration across various teams to optimize manufacturing processes and drive data-driven insights
Job Summary
This role involves leading business operations and analytics across NVIDIA's ODM ecosystem to enable manufacturing scalability and operational rigor.
Candidates will partner with Finance, Operations, and Product teams to connect operational metrics with financial outcomes using data-driven insights.
The position offers a competitive base salary ranging from 184,000 USD to 287,500 USD along with equity and benefits.
Matching Summary
Match Score: 85
NVIDIA is seeking an ODM Business Operations Manager to join its Data Center organization, focusing on enhancing AI infrastructure through partnerships with leading manufacturers. The role requires extensive experience in hardware operations and data analytics, with an emphasis on collaboration across various teams to optimize manufacturing processes and drive data-driven insights.
Salary
Base: 184,000 USD - 287,500 USD; Bonus/Equity: Eligible for equity; Benefits: Generous benefits packages included
Skills & Requirements
Must-have
12+ years hardware operations experience
Data analysis and modeling proficiency
Tableau and Microsoft Office expertise
ODM/OEM business structure knowledge
Supply chain logistics operations
Nice-to-have
Predictive modeling framework development
Process automation transformation success
Cross-functional collaboration skills
Scenario analysis capabilities
Passion for AI factory mission
Key Requirements
Bachelor's or Master's degree in Data Science, Business, or Finance
12+ years of experience in hardware operations or manufacturing analytics
MBA preferred
Proficient knowledge of production processes and logistics