Nvidia Global Commodity Manager 

China, Guangdong Province, Shenzhen 

131312174

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.