Role at a glance
- Job function
-
Software Engineering & IT Enterprise Applications & ERP
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Employment
- Full-time
- Education
- Bachelor’s degree in Engineering, Supply Chain, Information Systems, Operations, or equivalent experience; MBA a plus
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Role Summary
Supports system and data readiness for new products and new-site launches, connecting NPI, manufacturing operations, planning and procurement, engineering, and IT/data teams. The role defines enablement from early NPI through mass production and coordinates planning-model, workflow, testing, and issue-resolution work.
What You'll Do
- Gather and confirm business, process, and data needs for IT and operations system setup and launch readiness.
- Define end-to-end product data and system enablement, translate requirements into delivery artifacts, and partner with data teams on...
- Collaborate with Planning, Procurement, and IT on new planning models and align design tradeoffs.
- Partner with engineering teams on product setup, manufacturing workflows, NPI schedules, and testing parameters in SERUS and IT systems.
- Identify system and data enablement gaps and drive corrective actions, including process changes, system enhancements, and governance.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree in Engineering, Supply Chain, Information Systems, or Operations, or equivalent experience; 12+ years of experience in NPI, manufacturing operations, supply chain systems, or enterprise systems in a complex hardware environment; semiconductor, hardware, and/or high-tech industry experience with understanding of product lifecycles from NPI through mass production; strong supply-chain functional knowledge; and ability to lead cross-functional requirements definition and testing/validation.
Required
- MBA a plus
- Hands-on and technically deep; comfortable in the details, understands the “why” behind requirements and tradeoffs, and partners...
- Highly organized with strong attention to detail; able to manage multiple workstreams, dependencies, and timelines.
- Proven ability to influence and align diverse partners to decisions and execution.
- Excellent written and verbal communication skills including executive updates and daily execution.
- Strong problem-solving and process engineering approach with a bias for action and continuous improvement.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA is seeking an experienced Business Systems Analyst (New Product Enablement) to partner with IT and Ops teams to define needs and support system readiness for new products and new site launches. This role connects NPI, Manufacturing Operations, Planning/Procurement, Engineering, and Data/IT teams to ensure scalable product set-up and on-time execution from early NPI through mass production.
What you'll be doing:
- Gather, define, and confirm business/process/data needs with stakeholders for IT and Ops system set-up (including SAP, SPNR, SERUS, etc.) and readiness for new products and site launches (e.g., LPU)
- Define end-to-end data and system enablement for new products across the product hierarchy (Wafer, Chip, L6, L8, L10, L11) and partner with data teams to implement. Translate requirements into delivery-ready artifacts (process flows, data mapping, etc.) where relevant.
- Collaborate with Planning and Procurement to design and develop new planning models (e.g., buy/sell) with IT; lead alignment on design tradeoffs to simplify solutions, increase flexibility, and improve execution.
- Analyze and document requirements/impacts for new planning models (ex: buy/sell strategy), and coordinate alignment to simplify planning and improve execution
- Partner with Industrial Engineering to understand end-to-end product set-up and manufacturing workflows
- Partner with Product Engineering and Hardware Engineering to get early visibility to new product introductions and NPI/MP schedules for system enablement and data teams
- Identify system/data enablement gaps (e.g., B2B inaccuracies) and partner with data/IT/relevant teams to drive resolution
- Drive corrective actions - process changes, system enhancements, and governance - to make it easier for system and data enablement set up
- Develop a list of activities needed for new product system and data enablement (ex: need P-codes of products at new site)
- Partner with Test Engineering to enable testing parameters (ex: test time) in SERUS/IT systems
What we need to see:
- Bachelor’s degree in Engineering, Supply Chain, Information Systems, Operations, or equivalent experience; MBA a plus
- 12+ years experience in NPI, manufacturing operations, supply chain systems, or enterprise systems in a complex HW environment
- Experience in the semiconductor, hardware, and/or high-tech industry with a strong understanding of product lifecycles from NPI through mass production
- Strong working knowledge across supply chain functions, including planning, procurement, manufacturing operations, and partner/external manufacturing execution models
- Demonstrated ability to lead cross-functional requirements definition and testing/validation across Ops, IT, Data, Planning, Procurement, Industrial Engineering, and HW/Product Engineering
Ways to stand out from the crowd:
- Hands-on and technically deep: comfortable in the details, understands the “why” behind requirements and tradeoffs, and partners cross-functionally to drive clarity and decisions.
- Highly organized with strong attention to detail; able to manage multiple workstreams, dependencies, and timelines
- Proven ability to influence and align diverse partners to decisions and execution
- Excellent written and verbal communication skills including executive updates and daily execution
- Strong problem-solving and process engineering approach with a bias for action and continuous improvement
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most forward-thinking and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.
Your 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 - 270,250 USD for Level 5, and 196,000 USD - 310,500 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.