ODM Operations & Analytics Lead — AI Supply Chain

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Data Center organization seeks an ODM Business Operations Manager to optimize partnerships with manufacturing collaborators and scale AI infrastructure.

You will develop data-driven models and dashboards, track capacity and shipments, and align metrics with finance and product teams across global sites.

Strong analytics, manufacturing or supply chain experience, and excellent communication are required to drive cross-functional execution.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Business, or Finance (MBA preferred).
• 12+ years in hardware operations, manufacturing analytics, or FP&A — ideally in data center, semiconductor, or hyperscaler environments.
• Proven data analysis, modeling, and visualization skills using Tableau and MS Office.

Responsibilities

• Lead operations and analytics across NVIDIA’s ODM ecosystem to enable manufacturing scalability and rigor.
• Develop and maintain data-driven 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, standardized metrics, and regular reviews for accountability across global sites.
• Collaborate with ODMs and internal teams to improve data accuracy, efficiency visibility, and process automation.

Skills

Data analysis

Dashboards

Tableau

Microsoft Office

Cross-functional collaboration

Education

Bachelor’s or Master’s in Data Science/Business/Finance

Tools

Tableau

Microsoft Office

Job description

NVIDIA's Data Center organization seeks an ODM Business Operations Manager to optimize partnerships with manufacturing collaborators and scale AI infrastructure.

You will develop data-driven models and dashboards, track capacity and shipments, and align metrics with finance and product teams across global sites.

Strong analytics, manufacturing or supply chain experience, and excellent communication are required to drive cross-functional execution.