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Nvidia Global Commodity Manager 
China, Guangdong Province, Shenzhen 
131312174

24.06.2024

What you’ll be doing:

  • Develop and execute company’s commodities strategy: overseeing sourcing strategy for specific commodities across NPI through Mass Production.

  • Deploy global supply chain activities, risk mitigation and higher resiliency in reaction to new requirements of compliance.

  • Evaluate, select, and qualify suppliers: recommending new suppliers to stakeholders through alternative sourcing and negotiating favorable C&T for the best benefit of company.

  • Market intelligence: assess through multiple information sources to follow market trends and proactively identify potential supply chain issues, followed effective risk mitigation.

  • Act as higher level of escalation point for supply disruption issues, taking efficient and strategic actions to prevent and solve complex issues for revenue attainment.

  • Collaborate with cross-functional Operations teams and leverage Power BI and other world class tools to optimize supply chain processes and improve collaboration amongst Operations team.

  • Analyze data and present results to help management identify key trends for decision making in a variety of domains.

What we need to see:

  • Bachelor’s degree and above: majored in engineering or supply chain management, etc.

  • Professional Certification like CPSM/CIPS/CPPM/PMP is preferred.

  • At least 5 years in sourcing, supply chain or commodity management.

  • Experience of EMS factory supply chain management, knowledge about data center and networking products is a plus.

  • Advanced modeling and predictive analytical skills; "Advanced User" of MS Office. Experience with system tools like Power BI, Tableau, SAP, Windchill and Agile is a plus.

  • Strong written and verbal communication skills including good English command with the ability to present to management required.

Ways to stand out from the crowd:

  • Passion to success and perfection.

  • Committed partnership collaborations.

  • Knowledgeable about the latest data analytics tools, machine learning, artificial intelligence.