Drimva

NVIDIA

Senior Supply Chain Business Transformation Manager

$168K–$259K

US, CA, Santa Clara · Manager · Full-time · Posted Oct 28, 2026

Experience
12+ years.
Education
Bachelor’s or Master’s degree in supply chain, Engineering, Business, Information Systems, Operations, or a related field (or equivalent experience).

About the job

Leads end-to-end supply chain transformation initiatives, redesigning processes and operating models and delivering digital capabilities that improve operational performance and customer experience.

What you'll do

  • Lead transformation initiatives across supply chain functions, from business problem definition through implementation, adoption, and continuous improvement.
  • Translate business strategy into requirements and partner with technology teams to deliver enterprise solutions, including AI, analytics, and automation capabilities.
  • Set success metrics and lead change management, business readiness, and user enablement.

What they ask for

  • Bachelor’s or Master’s degree in supply chain, Engineering, Business, Information Systems, Operations, or a related field (or equivalent experience).
  • 12+ years of experience in Supply Chain Operations, Business Transformation, Product Management, Supply Chain Technology, or related disciplines.
  • Deep expertise in end-to-end hardware supply chains and a track record redesigning supply chain processes, operating models, and business capabilities.
  • Experience with enterprise ERP and supply chain planning platforms such as SAP ECC, SAP S/4HANA, SAP IBP, or equivalent.

Nice to have

  • Experience with complex hardware supply chains and modern digital supply chain capabilities.
  • APICS certifications (CSCP, CPIM, CLTD) or equivalent supply chain credentials; knowledge of Agile Product Management, Design Thinking, Lean, Six Sigma, BPM, or cloud analytics platforms.

Pay

168,000 USD - 258,750 USD base salary

Tools

SAP ECC, SAP S/4HANA, SAP IBP, Snowflake, Databricks, Power BI, Tableau

AI focus

Drive adoption of AI, machine learning, advanced analytics, and automation for operational decision-making and productivity; develop AI-enabled planning and AI-assisted operations.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)