Senior Business Systems Analyst, SAP - IBP and APO

Sorry, this job was removed at 08:14 p.m. (UTC) on Friday, May 08, 2026
Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

At NVIDIA, our mission is driven by a passion for visual and AI computing. For over two decades, we’ve led the way in visual computing—the art and science of computer graphics—through our invention of the GPU. What began as a breakthrough for graphics has since evolved into one of the most powerful tools in modern computing, capable of solving some of the world’s most complex challenges. Today, NVIDIA GPUs power deep learning, enabling machines, robots, and self-driving cars to perceive and understand their surroundings. Artificial intelligence is no longer a vision of the future—it’s here now, and in the coming years, it will revolutionize every industry.

We are seeking an experienced Senior Business Systems Analyst - SAP Integrated Business Planning (IBP), to support spare parts planning and optimization initiatives. The role focuses on improving demand forecasting, inventory optimization, and supply planning processes to enhance service levels while minimizing inventory costs.

What you’ll be doing:

  • Designing and delivering scalable and innovative supply chain solutions, building prototypes and translating business needs into practical solutions  using SAP S/4 Hana, SAP IBP, SAP SPP.

  • Act as a service, repair, and RMA supply chain subject matter and drive process improvements to streamline business operations, specially in ‘Reverse Logistics’ area.

  • Work in close collaboration with supply chain planning and cross-functional (IT / business) stakeholders to architect and build systematic solutions that address business process gaps and pain points.

  • Design and implement spare parts planning strategies to reduce production downtime and improve customer service levels.

  • Optimize inventory levels considering demand variability, lead times, and service level targets.

  • Support multi-echelon inventory planning and network design initiatives.

  • Managing system design, testing, training, and upgrades.

What we need to see:

  • BS or Master’s in Operations Management, Industrial Engineering, Computer Science, or related field (or equivalent experience).

  • 8+ years of experience designing and implementing advanced supply chain planning solutions.

  • Strong and prove expertise in supply chain planning concepts and architecting scalable supply planning solutions with hands-on experience in SAP IBP implementation and operations.

  • Solid understanding of spare parts planning and repairs supply chain planning processes.

  • Experience with SAP Service Parts Planning (SPP) and Extended Service Parts Planning (eSPP) in SAP S/4HANA, SAP MRO (Maintenance, Repair, and Overhaul/Operations) is desirable.

  • Strong track record of leveraging data analysis to drive business results.

  • Experience with data integration and automation in SaaS planning tools (a plus).

  • Ability to debug and support applications in SAP S/4HANA & IBP.

  • Self-motivated, proactive, and effective both independently and in teams.

  • Skilled at balancing diverse tasks while adapting to shifting priorities.

Ways to stand out from the crowd:

  • Semiconductor industry supply chain planning experience

  • Experience in implementing Supply Chain solutions for Service Parts and Repairs

  • Demonstrate excellent leadership and social skills, with the ability to explain sophisticated solutions in simple term

NVIDIA is recognized as one of the most sought-after employers in the tech industry, home to some of the brightest and most innovative minds in the world. If you thrive on creativity and independence, we’d love to connect with 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 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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