Senior SAP IBP Planning Lead — AI-Driven S&OP & Demand

Nvidia Corporation in; Santa Clara (CA); On-site; USD 144,000 - 270,000; Full time

Job summary

NVIDIA is seeking a Senior Business Systems Analyst — SAP IBP Planning (Finance) in Santa Clara, CA to architect and implement advanced SAP IBP/S&OP solutions. You will lead demand–supply alignment, model optimization, and AI-enabled planning, collaborating with Demand, Supply, and S&OP teams to deliver robust, scalable systems.

The role emphasizes hands-on design, system enablement, and cross-functional engagement to improve plan quality and automate processes across the supply chain.

Qualifications

• BS or MS in Operations Management, Industrial Engineering, Computer Science, or equivalent.
• 10+ years designing and implementing comprehensive supply chain planning solutions.
• Direct experience with SAP IBP S&OP and SAP IBP Response & Supply.
• Proven AI/ML experience applied to planning; knowledge of LLMs or data science.

Responsibilities

• Architect, build, and deliver scalable SAP IBP planning solutions.
• Lead S&OP process build and system enablement to produce executable plans.
• Build models using SAP APO SNP Optimization and CTM.
• Create prototypes and translate requirements into production solutions.
• Apply AI/ML for forecasting, demand sensing, anomaly detection, and LLM insights.
• Lead projects to enhance SAP IBP/APO functionalities.
• Drive system build, integration analysis, testing, and end-user training.
• Collaborate with IT and business units to deliver complete planning solutions.

Skills

SAP IBP S&OP

AI/ML for planning

Demand planning

S&OP process knowledge

Data analysis

Python or R

Education

BS or MS in Operations Management/Industrial Engineering/CS

Tools

SAP APO SNP Optimization

CTM modeling

CPI-DS/API integration

Job description

NVIDIA is seeking a Senior Business Systems Analyst — SAP IBP Planning (Finance) in Santa Clara, CA to architect and implement advanced SAP IBP/S&OP solutions. You will lead demand–supply alignment, model optimization, and AI-enabled planning, collaborating with Demand, Supply, and S&OP teams to deliver robust, scalable systems.

The role emphasizes hands-on design, system enablement, and cross-functional engagement to improve plan quality and automate processes across the supply chain.