FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Technical Project Manager, Data Analytics – Data Center Operations
NVIDIATechnical Project Manager overseeing analytics projects for NVIDIA's data centers. Collaborating with teams to ensure quality insights and successful delivery of data solutions.
Posted 5/19/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $168,000 - $258,750 per yearWebsite
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- More than 8 years of experience in a data center operations–related area (e.g., data center engineering, facilities/operations, planning, infrastructure operations)
- BS, BA, or BEng degree in a technical field, or equivalent experience
- Demonstrated ability in providing analytics solutions (data products, dashboards, pipelines, reporting) in roles such as Data Engineer, Product Owner, Analytics PM, or equivalent
- Proficiency with SQL for data exploration and validation on large datasets, including time series data
- Experience implementing pipelines / ETL/ELT, including understanding dependencies, SLAs, and failure modes
- Experience handling data center infrastructure information: racks and devices, asset inventories, power consumption, equipment needs and orders, ASN/shipping details, and lifecycle events (install, break/fix, decommission)
- Proven skill in gathering and documenting requirements, composing clear user stories and acceptance criteria, and working closely with engineers
- Superb communication skills; able to align technical teams and operations collaborators and bring decisions to completion.
Benefits
Comp & perks- equity
- benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata explorationdata validationETLELTdata pipelinesanalytics solutionsdashboardsreportingtime series data
Soft Skills
communication skillsrequirement gatheringdocumentationuser storiesacceptance criteriacollaborationprioritizationexecution trackingplanningproblem-solving
Certifications
BSBABEng