Senior Supply Chain Business Transformation Manager

Posted Yesterday
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Santa Clara, CA, USA
In-Office
168K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads end-to-end supply chain transformation initiatives across planning, logistics, manufacturing, repair, returns, and customer operations. Redesigns processes and operating models, translates business needs into requirements, and partners with IT, engineering, data, and AI teams to deliver scalable digital capabilities. Drives AI, analytics, automation, change management, adoption, and measurable operational improvements while influencing executives and cross-functional stakeholders.
Summary Generated by Built In

NVIDIA Operations is seeking an experienced Business Transformation professional to join the Supply Chain Business Transformation organization! This role partners with Supply Chain Operations, Engineering, IT, Data & AI teams to define business strategy, redesign operating models, and deliver scalable digital capabilities across the end-to-end hardware supply chain.

As a Senior Supply Chain Business Transformation Manager, you will serve as the bridge between business collaborators and technology teams, ensuring solutions solve real operational problems while improving customer experience, scalability, and business performance. You will lead initiatives from business problem definition through solution design, implementation, adoption, and continuous improvement.

What you’ll be doing:

  • Lead end-to-end business transformation initiatives across Supply Chain Operations, including Planning, Logistics, Manufacturing, Repair Operations, Service Supply Chain, Returns (RMA), and Customer Operations.

  • Partner with business leaders to identify strategic opportunities, operational problems, and process improvements that drive measurable business outcomes.

  • Redesign business processes and operating models to improve efficiency, scalability, visibility, automation, and customer experience.

  • Translate business requirements into clearly defined capabilities, user stories, business requirements, and functional specifications.

  • Partner with IT, Engineering, Data Engineering, AI/ML, and Analytics teams to design and deliver enterprise solutions.

  • Drive adoption of AI, advanced analytics, and automation capabilities that improve operational decision-making and workforce productivity.

  • Champion modern digital supply chain capabilities including Control Towers, Supply Chain Visibility, Planning Transformation, Data Platforms, Predictive Analytics, AI-assisted Operations

  • Define business benchmarks and success metrics while ensuring solutions deliver measurable operational improvements.

  • Lead change management activities including business readiness, process adoption, communications, and user enablement.

  • Continuously evaluate emerging technologies and recommend innovative approaches that improve supply chain performance.

What we need to see:

  • 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, including semiconductors, boards, systems, planning, manufacturing, logistics, repair operations, inventory management, reverse logistics, and customer fulfillment.

  • Proven track record redesigning supply chain processes, operating models, and business capabilities—not just implementing technology solutions.

  • Experience implementing or partnering on enterprise ERP and supply chain planning platforms such as SAP ECC, SAP S/4HANA, SAP IBP, or equivalent.

  • Strong understanding of supply chain data models, operational benchmarks, analytics, and the application of AI, machine learning, automation, and advanced analytics to improve business operations.

  • Demonstrated ability to translate business strategy into executable solutions through business capability definition, BRDs, process mapping, and solution architecture.

  • Proven success leading cross-functional initiatives by partnering with Operations, Engineering, IT, Data Engineering, Analytics, and other business collaborators.

  • Exceptional collaborators management, facilitation, and executive communication skills, with the ability to influence without direct authority.

  • Strong analytical, problem-solving, and customer-first attitude with experience delivering enterprise-scale business transformation programs.

Ways to stand out from the crowd:

  • Experience supporting complex hardware supply chains, including robotics, electronics, semiconductors, AI infrastructure, and data center systems.

  • Experience building modern digital supply chain capabilities, including Supply Chain Control Towers, Digital Twins, AI-enabled Planning, Data Platforms, Predictive Analytics, and Supply Chain Visibility solutions.

  • Experience leading enterprise-wide business transformation initiatives involving cross-functional organizations, executive collaborators, organizational change, process standardization, and continuous improvement.

  • Knowledge of Agile Product Management, Design Thinking, Lean, Six Sigma, Business Process Management (BPM), and modern cloud analytics platforms such as Snowflake, Databricks, Power BI, Tableau, or similar technologies.

  • APICS certifications (CSCP, CPIM, CLTD) or equivalent supply chain credentials, with a passion for applying emerging AI technologies to transform supply chain operations

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hardworking people in the world working for us. Due to outstanding growth, our skilled engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we are looking forward to hearing from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 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, including semiconductors, boards, systems, planning, manufacturing, logistics, repair operations, inventory management, reverse logistics, and customer fulfillment
  • Experience redesigning supply chain processes, operating models, and business capabilities
  • Experience implementing or partnering on enterprise ERP and supply chain planning platforms such as SAP ECC, SAP S/4HANA, SAP IBP, or equivalent
  • Understanding of supply chain data models, operational benchmarks, analytics, AI, machine learning, automation, and advanced analytics
  • Ability to translate business strategy into executable solutions through business capability definition, business requirements documents, process mapping, and solution architecture
  • Experience leading cross-functional initiatives with operations, engineering, IT, data engineering, analytics, and business stakeholders
  • Strong collaboration, facilitation, executive communication, analytical, problem-solving, and influencing skills
  • Experience delivering enterprise-scale business transformation programs
  • Experience supporting complex hardware supply chains involving robotics, electronics, semiconductors, AI infrastructure, or data center systems
  • Experience building supply chain control towers, digital twins, AI-enabled planning, data platforms, predictive analytics, or supply chain visibility solutions
  • Experience leading enterprise-wide transformation involving organizational change, process standardization, and continuous improvement
  • Knowledge of Agile Product Management, Design Thinking, Lean, Six Sigma, or Business Process Management
  • Experience with Snowflake, Databricks, Power BI, Tableau, or similar cloud analytics platforms
  • APICS certification such as CSCP, CPIM, or CLTD, or equivalent supply chain credentials

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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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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