Senior Business Systems Analyst - SAP IBP Planning

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.