The Supply Chain Information Technology team is looking to fill a Senior Business Systems Analyst — SAP IBP Planning position. This job is accountable for crafting sophisticated planning solutions, optimization models, and data-driven insights for strategic and tactical supply chain planning. It includes direct oversight of NVIDIA's SAP Demand Planning / S&OP solutions and the coordinated business planning response and supply operations. Equally crucial is an in-depth understanding of AI, machine learning, and large language models (LLMs) applicable to supply chain planning. Strong engagement with business associates across Demand, Supply, and S&OP teams is important.
What you'll be doing:
Architect, build, and deliver robust, scalable solutions for sophisticated supply chain requirements using SAP IBP Response & Supply, Demand Planning, and S&OP modules.
Lead S&OP process build and system enablement, connecting demand signals with supply constraints to produce executable, collaboratively developed plans.
Build and optimize supply network models using SAP APO SNP Optimization and Capable-to-Match (CTM) techniques.
Build prototypes and proof-of-concepts for business requirements and translate them into production-grade operational solutions.
Use AI/ML capabilities — statistical forecasting, demand sensing, anomaly detection, and LLM-enhanced planning insights — to raise plan quality and decrease manual intervention.
Lead projects to implement new and improve existing SAP IBP / APO functionalities already live at NVIDIA.
Drive system build, integration analysis, testing, and end-user training.
Partner with diverse IT and business units to develop complete supply chain planning solutions.
What we need to see:
BS or Master's in Operations Management, Industrial Engineering, Computer Science, or equivalent experience.
10+ years designing and implementing comprehensive supply chain planning solutions using advanced planning tools.
Direct experience with SAP IBP S&OP and SAP IBP Response & Supply is essential.
Proven experience in AI/ML applied to supply chain planning is essential. Knowledge of LLMs, machine learning, or data science related to planning is mandatory.
Strong S&OP process knowledge — ability to connect demand plans with supply capacity and produce an executable consensus plan.
Experience in SAP IBP Demand Planning encompassing statistical forecasting, demand sensing, and collaborative planning.
Experience working with SAP APO SNP Optimization or CTM modeling to address constrained supply challenges.
Ability to debug, support, and continuously improve applications built in SAP IBP and SAP APO.
Ways to stand out from the crowd:
Semiconductor or high-tech industry supply chain experience — understanding chip supply constraints, allocation management, and order commit processes.
Experience integrating SAP IBP with ERP systems (SAP S/4HANA, ECC) and external data sources via CPI-DS or API-based automation.
Hands-on experience with AI/LLM tooling for supply chain use cases — e.g., forecast explanation, plan summarization, constraint reasoning, or copilot-style interfaces.
Knowledge of alternative sophisticated planning platforms — Kinaxis RapidResponse, Blue Yonder, Anaplan — to bring cross-platform benchmarking perspective.
Data science or machine learning skills (Python, R, or similar) for building custom demand/supply models outside of packaged tools.
You will also be eligible for equity and benefits.
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 Operations Management, Industrial Engineering, Computer Science, or equivalent experience
- 10+ years designing and implementing comprehensive supply chain planning solutions using advanced planning tools
- Direct experience with SAP IBP S&OP and SAP IBP Response & Supply
- Experience applying AI and machine learning to supply chain planning, including knowledge of LLMs, machine learning, or data science
- Strong S&OP process knowledge, including connecting demand plans with supply capacity to produce executable consensus plans
- Experience with SAP IBP Demand Planning, statistical forecasting, demand sensing, and collaborative planning
- Experience with SAP APO SNP Optimization or CTM modeling for constrained supply challenges
- Ability to debug, support, and continuously improve SAP IBP and SAP APO applications
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.
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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.
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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.
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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
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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