Senior Business System Analyst, SAP TMS and Logistics Execution

Sorry, this job was removed at 06:13 a.m. (UTC) on Thursday, May 14, 2026
Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The NVIDIA IT Supply Chain Team is looking for a Logistics and Transportation Business Systems Analyst to join our growing team in Santa Clara, CA. You will lead the effort to identify the process gaps, craft and develop system solutions in transportation and logistics area for supporting the demand from Logistics business team within SAP TMS modules integrating with SAP EWM, SAP ECC and S4 HANA.

What you'll be doing:

  • Partner with the Transportation team to consistently streamline business processes and lead continuous improvements to processes and solutions in place to enable the team to deliver world class support to our global internal customers while staying compliant.

  • Define, prioritize, plan, architect and complete complex and impactful projects integrating to other SAP or external systems.

  • Interface on a day-to-day basis with analysts, business leadership, external partners, development, integration experts and reporting team members to support business operations.

  • Plan and conduct testing and training, both internally and externally and co-ordinate migration of the changes across system landscapes.

  • Work with the onsite-offshore resources in different time zones to prioritize, coordinate and implement small to medium size projects.

  • Continually mentor the implementation team with the best industry practices solutions and methodologies.

What we need to see:

  • Bachelor's or Master's degree or equivalent experience in Information Systems, Computer Science, or Business

  • 8+ years of professional experience with core focus on Logistics and SAP TMS solutions and some exposure to integration with SAP EWM

  • Deep understanding of SAP TMS , BN4L and GTT tools integrating with SAP S4 HANA with at least 2 implementation experience.

  • Strong business knowledge and consistent record in implementing solutions in the Logistics Transportation process.

  • Working experience in building reporting solutions and integration with 3rd party systems.

  • Creative problem-solving ability in dynamic and sophisticated business environment.

  • Good social and excellent teammate skills, able to mediate disagreement, recognize options, propose and implement solutions.

  • Shown to navigate the technology environment and work effectively with multiple groups.

Ways to stand out from the crowd:

  • Experience in SAP TMS, strategic freight management and integrations to carriers, Transportation Planning and execution, Freight costing and settlement, Logistics Control Tower and dangerous goods management

  • Project management experience and skills.

  • Demonstrate excellent leadership and interpersonal skills, with the ability to explain sophisticated solutions in simple terms.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 4, and 168,000 USD - 270,250 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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