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NVIDIA

Designs the chips and software that power AI

New Product Enablement Business System Analyst

Business AnalysisConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor’s degree in Engineering, Supply Chain, Information Systems, or Operations, or equivalent experience; an MBA is a plus.
  • 12 or more years of experience in NPI, manufacturing operations, supply chain systems, or enterprise systems in a complex hardware environment.
  • Experience in the semiconductor, hardware, or high-tech industry and 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 or external manufacturing execution models.
  • Demonstrated ability to lead cross-functional requirements definition and testing or validation across Operations, IT, Data, Planning, Procurement, Industrial Engineering, and Hardware or Product Engineering.

Responsibilities

  • Gather, define, and confirm business, process, and data needs with stakeholders for IT and Operations system setup and readiness for new products and site launches, including SAP, SPNR, SERUS, and 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 it; translate requirements into delivery-ready artifacts such as process flows and data mapping where relevant.
  • Collaborate with Planning and Procurement to design and develop new planning models, such as buy/sell models, with IT; lead alignment on design tradeoffs to simplify solutions, increase flexibility, and improve execution.
  • Analyze and document requirements and impacts for new planning models, such as buy/sell strategy, and coordinate alignment to simplify planning and improve execution.
  • Partner with Industrial Engineering to understand end-to-end product setup and manufacturing workflows.
  • Partner with Product Engineering and Hardware Engineering to gain early visibility into new product introductions and NPI/MP schedules for system enablement and data teams.
  • Identify system and data enablement gaps, such as B2B inaccuracies, and partner with data, IT, and relevant teams to drive resolution.
  • Drive corrective actions, including process changes, system enhancements, and governance, to simplify system and data enablement setup.
  • Develop a list of activities needed for new product system and data enablement, such as identifying product P-codes at a new site.
  • Partner with Test Engineering to enable testing parameters, such as test time, in SERUS and IT systems.

Desired Qualifications

  • Be hands-on and technically deep, understand the rationale behind requirements and tradeoffs, and partner cross-functionally to drive clarity and decisions.
  • Be highly organized with strong attention to detail and able to manage multiple workstreams, dependencies, and timelines.
  • Demonstrate the ability to influence and align diverse partners to decisions and execution.
  • Have strong written and verbal communication skills, including executive updates and daily execution.
  • Use a strong problem-solving and process-engineering approach, with a bias for action and continuous improvement.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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