PDM Business Analyst

Reposted 22 Hours Ago
Be an Early Applicant
Shenzhen, Guangdong, CHN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead and execute PLM activities and SAP MM maintenance, administer PLM systems, coordinate cross-functional teams, define and document processes, and design automation, analytics, and AI-enabled solutions to improve PLM operations and scalability.
Summary Generated by Built In

NVIDIA is widely considered one of the technology world’s most desirable employers. We are leading the way in accelerated computing, AI, and digital transformation across industries. If you are motivated by impact, collaboration, and continuous learning, NVIDIA is the place to build your career.

We are seeking a Senior PDM Business Analyst to join our team, supporting Product Lifecycle Management (PLM) processes across engineering change execution, system integration, and operational excellence. This role is suited for an experienced professional who combines strong hands‑on execution with the ability to enhance, standardize, and scale PLM business processes. You will work in a fast‑paced, multi‑tasking environment, partner closely with Engineering, Operations, Supply Chain, IT, and Contract Manufacturers (CMs), and apply automation and AI‑enabled solutions to drive efficiency, quality, and scalability. Success in this role requires strong ownership, adaptability, attention to detail, and a genuine passion for learning and applying new technologies

What You’ll Be Doing:

  • Execute and oversee PLM activities (e.g., NPR, ECR, ECO, DA, ISO) and SAP MM maintenance in support of the various organizations.

  • Work as PLM business administration, including access control, system configuration, user help request, internal and external partner training.

  • Coordinate/lead cross functional business groups to identify and resolve problems.

  • Work on process definition, implementation, and documentation of new processes to support NVIDIA's evolving needs.

  • Partner with internal and external partners to drive continuous system and process improvement.

  • Design, develop, and deploy automation, analytics, and AI-enabled solutions to support evolving PLM business needs.

  • Continuously build and expand AI capabilities by exploring, implementing, and scaling emerging technologies.

What We Need to See:

  • Bachelor’s degree or above in Engineering, Computer Science, Information Systems, or a related field with 5+ years of hands-on experience in PLM processes & ERP systems or related domains within a high‑tech environment.

  • Experience working with IT teams and external partners (CMs)

  • Experience driving process simplification and standardization to enable automation.

  • Strong problem‑solving ability, self‑motivation, and clear ownership mindset.

  • Proficiency in Microsoft Office (Excel, PowerPoint, Word) and familiarity with analytics and automation tools such as Power BI, Tableau, or RPA platforms.

  • Practical experience with AI tools, automation, and digital workflow capabilities in an operational context.

  • Strong willingness to continuously learn and adopt new technologies and skills.

  • Fluent English communication skills

Ways to Stand Out from the crowd:

  • Developer experience on AI‑assisted workflows, intelligent automation, or agent‑based solutions.

  • Strong passion for delivering high-quality outcomes

  • Self-motivated, creative, and fast learner

  • Strong collaboration mindset across cross-functional teams

  • Ability to thrive in a dynamic, fast-changing environment

At NVIDIA, you will work with world-class talent to solve significant challenges. We value curiosity, collaboration, and ownership, and we actively encourage our teams to use next-generation technologies like AI to transform how work gets done.

Skills Required

  • Bachelor's degree in Engineering, Computer Science, Information Systems, or related field
  • 5+ years hands-on experience in PLM processes and ERP systems in a high-tech environment
  • Practical experience with SAP MM
  • Experience working with IT teams and external partners (contract manufacturers)
  • Experience driving process simplification, standardization, and implementation to enable automation
  • Proficiency in Microsoft Office (Excel, PowerPoint, Word) and familiarity with analytics/automation tools (Power BI, Tableau, or RPA platforms)
  • Practical experience with AI tools, automation, and digital workflow capabilities in operational contexts
  • Strong problem-solving ability, self-motivation, ownership mindset, and fluent English communication
  • Developer experience on AI-assisted workflows, intelligent automation, or agent-based solutions
  • Strong collaboration mindset and ability to thrive in dynamic, fast-changing environments

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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