Product Data Operations Engineering Systems Analyst

Job Title

Product Data Operations Engineering Systems Analyst

Role Summary

The Product Data Operations Engineering Systems Analyst supports product lifecycle and engineering data management for chip programs, working with engineering, planning, manufacturing, IT, and subcontractors to ensure accurate product definitions and smooth program releases.

This role is based in Santa Clara and focuses on translating engineering intent into manufacturable items, maintaining data integrity across PLM/ERP systems, and improving operational processes.

Experience Level

Mid-level. The posting indicates a preference for candidates with 5+ years of manufacturing experience.

Responsibilities

Primary responsibilities include managing product lifecycle items, release governance, and ensuring downstream manufacturing readiness.

• Support chip product lifecycle (PLC) setup, engineering program changes, releases, and phase transitions across engineering groups.
• Plan and manage program release schedules, track dependencies, develop cutover plans, and lead cross-functional release reviews.
• Translate engineering specifications into manufacturable items (wafers, programs, dice, assemblies, SKUs) and validate attributes (form/fit/function, revision control, traceability).
• Ensure accurate item setup in E2Open/Serus and downstream integration into SAP.
• Collaborate with IT, subcontractors, and application partners to build and maintain I/O links and related objects.
• Define and manage production flows, bills of materials, yields, bin fractions, and test-time forecasts; handle PLM deviations when necessary.
• Analyze systems and processes to identify bottlenecks and implement process improvements for scalability and reliability.

Requirements

Must-have technical skills, domain knowledge, and workplace abilities.

• 5+ years of manufacturing experience working across functions in outsourced fabless semiconductor manufacturing (OSAT exposure required).
• Experience with E2Open/Serus, Windchill, SAP, Agile practices, and Microsoft Office tools.
• Familiarity with production planning concepts: routing, flows, tests, yields, materials, and handoffs between engineering and manufacturing.
• Strong organizational skills, attention to detail, resilience, and ability to work nonstandard hours when needed.
• Excellent written and verbal communication and ability to translate business needs into development requirements and ensure data integrity.
• Ability to collaborate effectively across engineering, IT, subcontractors, and operations teams.
• Nice-to-have: experience with Tableau, Power BI, web-based data visualization, Python, SQL, HTML, XML, Visual Basic, and AI tools.

Education Requirements

Bachelor's degree in business or engineering is preferred; the posting also accepts equivalent practical experience. The source lists "Bachelor’s degree in business, engineering, or equivalent experience with 5+ years of experience in manufacturing." No specific certifications were required.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.