NVIDIA

Technology

SeniorTechnicalDataAnalyst-OperationsE2EDataIntelligentSystems

$168–311k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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