{"schemaVersion":"jobsearcher.job.v1","id":"7dffd21fae96543d635fe40c","url":"https://jobsearcher.com/jobs/7dffd21fae96543d635fe40c","canonicalUrl":"https://jobsearcher.com/jobs/7dffd21fae96543d635fe40c","title":"Senior Technical Data Analyst - Operations E2E Data Intelligent Systems","description":"NVIDIA Supply Chain Operations helps turn groundbreaking AI technology into real-world infrastructure by orchestrating the manufacturing, planning, and fulfillment capabilities behind AI factories! It's a unique legacy of innovation that's fueled by great technology — and amazing people We are looking for a hands-on Data & Analytics Lead to drive end-to-end data strategy, architecture, governance, and AI readiness across Supply Chain Operations.\nWorking where data engineering, functional architecture, AI, and supply chain execution meet, you translate complex business problems. You develop data products that expand efficiently, governed semantic models, and AI-ready assets. These assets enhance visibility, resilience, automation, and decision-making.\nWhat you'll be doing:\nOwn and lead comprehensive data initiatives across Supply Chain Operations — from fit-gap analysis and business requirements through source identification, data build, engineering delivery, validation, governance, adoption, and operational support.\nPartner with business collaborators, engineering teams, IT partners, platform teams, and leadership to translate business objectives into scalable data models, pipelines, dashboards, semantic layers, and AI-enabled solutions.\nWrite detailed implementation specifications for engineering teams, including business context, source-to-target mappings, transformation logic, data quality rules, exception handling, access requirements, acceptance criteria, and validation scenarios.\nBuild a trusted single source of data by standardizing schemas, definitions, controls, and reusable taxonomies across functions.\nBuild intuitive data models, semantic layers, and governed data products that enable self-service analytics, AI applications, and business-friendly data consumption while reducing ad-hoc query dependency.\nImplement operations data governance — including cataloging, business glossary, metadata enrichment, ownership, lineage, access controls, data validations, quality measurement, and alignment with corporate security and compliance policies.\nDefine and enforce the \"last mile\" of data quality and trust by ensuring data used for analytics, operations, and AI is accurate, consistent, traceable, documented, secure, and fit for business use.\nEstablish clean, connected, governed, and AI-ready data foundations that allow AI models and agents to generate reliable insights, recommendations, and autonomous actions with reduced hallucination risk.\nWhat we need to see:\n12+ years of experience in data engineering, data architecture, analytics, or technical program management within logistics or operations domains.\nDeep experience working with SAP S/4HANA Supply Chain, SAP IBP, SAP EWM, SAP TM, SAP MM, Agile PLM, Salesforce, and related operations applications.\nProven expertise in data modeling, semantic layer design, data product design, source system analysis, and translating business requirements into data architectures.\nAdvanced SQL expertise — including complex joins, CTEs, window functions, performance tuning, data validation queries, reconciliation logic, and analytical query design across large-scale enterprise datasets.\nLeadership — ability to influence and drive behaviors that are accurate, negotiate your position, and make and defend proven data-driven decisions across commercial and technical groups.\nGood interpersonal skills, ability to clearly articulate status, work progress, risks, and technical decisions at all levels of the organization.\nPragmatic problem-solving skills, comfortable with making rapid, informed decisions or advancing as necessary.\nBS degree or equivalent experience in Computer Science, Information Systems, Engineering, or a related field.\nAbility to thrive and adapt in a fast-paced environment.\nWays to stand out from the crowd:\nStrong functional understanding of supply chain and operations domains including Plan, Make, Deliver, Services, procurement, inventory, logistics, warehouse management, and manufacturing operations.\nAbility to bridge business and engineering teams — translating operational problems into technical solutions and technical constraints into business language.\nActive Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).\nDirect experience delivering modern data platforms and analytics solutions to supply chain or manufacturing operations at enterprise scale.\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 for Level 5, and 196,000 USD - 310,500 USD for Level 6.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 25, 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":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-19T15:51:45.978Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"11-3071.04","title":"Supply Chain Managers","slug":"supply-chain-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Data Analyst - Operations E2E Data Intelligent Systems","description":"NVIDIA Supply Chain Operations helps turn groundbreaking AI technology into real-world infrastructure by orchestrating the manufacturing, planning, and fulfillment capabilities behind AI factories! It's a unique legacy of innovation that's fueled by great technology — and amazing people We are looking for a hands-on Data & Analytics Lead to drive end-to-end data strategy, architecture, governance, and AI readiness across Supply Chain Operations.\nWorking where data engineering, functional architecture, AI, and supply chain execution meet, you translate complex business problems. You develop data products that expand efficiently, governed semantic models, and AI-ready assets. These assets enhance visibility, resilience, automation, and decision-making.\nWhat you'll be doing:\nOwn and lead comprehensive data initiatives across Supply Chain Operations — from fit-gap analysis and business requirements through source identification, data build, engineering delivery, validation, governance, adoption, and operational support.\nPartner with business collaborators, engineering teams, IT partners, platform teams, and leadership to translate business objectives into scalable data models, pipelines, dashboards, semantic layers, and AI-enabled solutions.\nWrite detailed implementation specifications for engineering teams, including business context, source-to-target mappings, transformation logic, data quality rules, exception handling, access requirements, acceptance criteria, and validation scenarios.\nBuild a trusted single source of data by standardizing schemas, definitions, controls, and reusable taxonomies across functions.\nBuild intuitive data models, semantic layers, and governed data products that enable self-service analytics, AI applications, and business-friendly data consumption while reducing ad-hoc query dependency.\nImplement operations data governance — including cataloging, business glossary, metadata enrichment, ownership, lineage, access controls, data validations, quality measurement, and alignment with corporate security and compliance policies.\nDefine and enforce the \"last mile\" of data quality and trust by ensuring data used for analytics, operations, and AI is accurate, consistent, traceable, documented, secure, and fit for business use.\nEstablish clean, connected, governed, and AI-ready data foundations that allow AI models and agents to generate reliable insights, recommendations, and autonomous actions with reduced hallucination risk.\nWhat we need to see:\n12+ years of experience in data engineering, data architecture, analytics, or technical program management within logistics or operations domains.\nDeep experience working with SAP S/4HANA Supply Chain, SAP IBP, SAP EWM, SAP TM, SAP MM, Agile PLM, Salesforce, and related operations applications.\nProven expertise in data modeling, semantic layer design, data product design, source system analysis, and translating business requirements into data architectures.\nAdvanced SQL expertise — including complex joins, CTEs, window functions, performance tuning, data validation queries, reconciliation logic, and analytical query design across large-scale enterprise datasets.\nLeadership — ability to influence and drive behaviors that are accurate, negotiate your position, and make and defend proven data-driven decisions across commercial and technical groups.\nGood interpersonal skills, ability to clearly articulate status, work progress, risks, and technical decisions at all levels of the organization.\nPragmatic problem-solving skills, comfortable with making rapid, informed decisions or advancing as necessary.\nBS degree or equivalent experience in Computer Science, Information Systems, Engineering, or a related field.\nAbility to thrive and adapt in a fast-paced environment.\nWays to stand out from the crowd:\nStrong functional understanding of supply chain and operations domains including Plan, Make, Deliver, Services, procurement, inventory, logistics, warehouse management, and manufacturing operations.\nAbility to bridge business and engineering teams — translating operational problems into technical solutions and technical constraints into business language.\nActive Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate).\nDirect experience delivering modern data platforms and analytics solutions to supply chain or manufacturing operations at enterprise scale.\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 for Level 5, and 196,000 USD - 310,500 USD for Level 6.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 25, 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":"2026-07-19T15:51:45.978Z","dateModified":"2026-07-19T15:51:45.978Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7dffd21fae96543d635fe40c"},"url":"https://jobsearcher.com/jobs/7dffd21fae96543d635fe40c"}}