{"schemaVersion":"jobsearcher.job.v1","id":"0cd07ee6769a5882d2b365c2","url":"https://jobsearcher.com/jobs/0cd07ee6769a5882d2b365c2","canonicalUrl":"https://jobsearcher.com/jobs/0cd07ee6769a5882d2b365c2","title":"Technical Project Manager, Data Analytics - Data Center Operations","description":"We 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.\nWhat you will be doing:\nPartner with collaborators to understand use cases, define scope, and capture detailed requirements.\nMap business requirements to existing data structures, identify data gaps, and drive solutions with data and system owners.\nDevelop user requirements and success criteria; partner with engineers to segment work into tasks and handle backlogs.\nLead end-to-end delivery of analytics projects, including planning, prioritization, execution tracking, and communication with collaborators.\nSupport building and deployment of data pipelines and models, including large time series datasets (e.g., power/utilization, telemetry, capacity metrics).\nDefine baselines, validation criteria, and data quality checks to ensure trust in metrics, dashboards, and reports.\nHelp define and refine benchmarks and reporting that provide insight into data center capacity, utilization, health, and operational efficiency.\nWhat we need to see:\nMore than 8 years of experience in a data center operations–related area (e.g., data center engineering, facilities/operations, planning, infrastructure operations).\nBS, BA, or BEng degree in a technical field, or equivalent experience.\nDemonstrated ability in providing analytics solutions (data products, dashboards, pipelines, reporting) in roles such as Data Engineer, Product Owner, Analytics PM, or equivalent.\nProficiency with SQL for data exploration and validation on large datasets, including time series data.\nExperience implementing pipelines / ETL/ELT, including understanding dependencies, SLAs, and failure modes.\nExperience 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).\nProven skill in gathering and documenting requirements, composing clear user stories and acceptance criteria, and working closely with engineers.\nSuperb communication skills; able to align technical teams and operations collaborators and bring decisions to completion.\nWays to stand out from the crowd:\nExperience with building software prototypes using AI tools such as Cursor, Vibe or Lovable.\nExperience with InfluxDB (or similar time series database), Databricks, Nautobot DCIM and SAP backend procurement data.\nJoin NVIDIA and contribute to a cooperative setting where you can apply creative solutions and leave a lasting mark on data engineering.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 22, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","company":"NVIDIA","rawCompany":"nvidia","city":"California","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-19T15:22:15.886Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Project Manager, Data Analytics - Data Center Operations","description":"We 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.\nWhat you will be doing:\nPartner with collaborators to understand use cases, define scope, and capture detailed requirements.\nMap business requirements to existing data structures, identify data gaps, and drive solutions with data and system owners.\nDevelop user requirements and success criteria; partner with engineers to segment work into tasks and handle backlogs.\nLead end-to-end delivery of analytics projects, including planning, prioritization, execution tracking, and communication with collaborators.\nSupport building and deployment of data pipelines and models, including large time series datasets (e.g., power/utilization, telemetry, capacity metrics).\nDefine baselines, validation criteria, and data quality checks to ensure trust in metrics, dashboards, and reports.\nHelp define and refine benchmarks and reporting that provide insight into data center capacity, utilization, health, and operational efficiency.\nWhat we need to see:\nMore than 8 years of experience in a data center operations–related area (e.g., data center engineering, facilities/operations, planning, infrastructure operations).\nBS, BA, or BEng degree in a technical field, or equivalent experience.\nDemonstrated ability in providing analytics solutions (data products, dashboards, pipelines, reporting) in roles such as Data Engineer, Product Owner, Analytics PM, or equivalent.\nProficiency with SQL for data exploration and validation on large datasets, including time series data.\nExperience implementing pipelines / ETL/ELT, including understanding dependencies, SLAs, and failure modes.\nExperience 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).\nProven skill in gathering and documenting requirements, composing clear user stories and acceptance criteria, and working closely with engineers.\nSuperb communication skills; able to align technical teams and operations collaborators and bring decisions to completion.\nWays to stand out from the crowd:\nExperience with building software prototypes using AI tools such as Cursor, Vibe or Lovable.\nExperience with InfluxDB (or similar time series database), Databricks, Nautobot DCIM and SAP backend procurement data.\nJoin NVIDIA and contribute to a cooperative setting where you can apply creative solutions and leave a lasting mark on data engineering.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 22, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","datePosted":"2026-07-19T15:22:15.886Z","dateModified":"2026-07-19T15:22:15.886Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0cd07ee6769a5882d2b365c2"},"url":"https://jobsearcher.com/jobs/0cd07ee6769a5882d2b365c2"}}