NVIDIA
Technology
SeniorTechnicalDataAnalyst-OperationsE2EDataIntelligentSystems
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optimal for Senior candidates.
“Senior Technical Data Analyst - Operations E2E Data Intelligent Systems at NVIDIA. Skills: Data strategy, Data architecture, Data governance, AI readiness. Own and lead data initiatives. Partner with collaborators and teams”
What You'll Achieve.
Enhance visibility; Enhance resilience; Enhance automation; Enhance decision-making
Industry & Context.
Pragmatic problem-solving
What They're Looking For.
Must Have
12+ years of experience, BS degree or equivalent experience
Nice to Have
PhD preferred, Databricks certifications, Cloud platform certs
What You'll Do.
Own and lead data initiatives
Partner with collaborators and teams
Translate business objectives
Write implementation specifications
Build a trusted single source of data
Standardize schemas and definitions
Build intuitive data models
Enable self-service analytics
Implement operations data governance
Define and enforce data quality
Establish AI-ready data foundations
How You'll Work.
Team & Collaboration
Business collaborators; Engineering teams; IT partners; Platform teams; Leadership
Communication Scope
Articulate status; Work progress; Risks; Technical decisions
Process & Methodology
Agile
Full Job 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. Working 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. **What you 'll be doing:** * Own 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. * Partner 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. * Write 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. * Build a trusted single source of data by standardizing schemas, definitions, controls, and reusable taxonomies across functions. * Build 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. * Implement operations data governance — including cataloging, business glossary, metadata enrichment, ownership, lineage, access controls,
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