Technical Project Manager, Data Analytics - Data Center Operations
Nvidia · Remote (United States)
About this role
Nvidia is hiring a mid-level Program Manager in the operations function as a remote position. The posting calls out experience with SQL, Databricks, Data Structures, ETL.
- Role
- Program Manager
- Function
- operations
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (United States)
- Work mode
- Remote
- Posted
- May 18, 2026
More roles at Nvidia
Job description
from Nvidia careersWe are seeking a Technical Project Manager to lead analytics projects for Nvidia's on prem data centers. This role offers an outstanding opportunity to develop the future of data engineering at NVIDIA, a company known for its groundbreaking innovations and outstanding talent. You will translate business needs into clear technical requirements, lead all aspects of delivery of data pipelines and analytics products, and ensure high-quality insights across the full data center lifecycle: planning, equipment demand and procurement, asset management, installs, power utilization, break/fix, and decommissioning.
What you will be doing:
Partner with collaborators to understand use cases, define scope, and capture detailed requirements.
Map business requirements to existing data structures, identify data gaps, and drive solutions with data and system owners.
Develop user requirements and success criteria; partner with engineers to segment work into tasks and handle backlogs.
Lead end-to-end delivery of analytics projects, including planning, prioritization, execution tracking, and communication with collaborators.
Support building and deployment of data pipelines and models, including large time series datasets (e.g., power/utilization, telemetry, capacity metrics).
Define baselines, validation criteria, and data quality checks to ensure trust in metrics, dashboards, and reports.
Help define and refine benchmarks and reporting that provide insight into data center capacity, utilization, health, and operational efficiency.
This is an excerpt. Read the full job description on Nvidia careers →