Senior PDM Business Analyst

NVIDIA is seeking a Senior PDM Business Analyst to join their team, supporting Product Lifecycle Management (PLM) processes across engineering change execution, system integration, and operational excellence.

The successful candidate will work in a fast-paced, multi-tasking environment, partnering closely with Engineering, Operations, Supply Chain, IT, and Contract Manufacturers (CMs) to apply automation and AI-enabled solutions to drive efficiency, quality, and scalability.

Responsibilities:

• Execute and oversee PLM activities (e.g., NPR, ECR, ECO, DA, ISO) and SAP MM maintenance in support of various organizations.
• Work as PLM business administration, including access control, system configuration, user help requests, and internal and external partner training.
• Coordinate and 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.

Requirements:

• 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