NVIDIA

NVIDIA

Posted via Workday

Senior Business Systems Analyst - SAP IBP Planning

Posted Sep 9, 2026

Role at a glance

Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level 10+ years designing and implementing comprehensive supply chain planning solutions using advanced planning tools.
Education
BS or Master's in Operations Management, Industrial Engineering, Computer Science, or equivalent experience.

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Role Summary

AI-generated

This Senior Business Systems Analyst role on the Supply Chain IT team focuses on SAP IBP planning solutions, including Response & Supply, Demand Planning, and S&OP, with AI and ML capabilities applied to planning. The role includes leading S&OP build and system enablement and optimizing supply network models in SAP APO.

What You'll Do

  • Architect, build, and deliver scalable supply chain planning solutions 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 plans.
  • Build and optimize supply network models using SAP APO SNP Optimization and Capable-to-Match (CTM) techniques.
  • Build prototypes and proof-of-concepts and translate them into production-grade operational solutions.
  • Use AI/ML capabilities such as statistical forecasting, demand sensing, and anomaly detection to raise plan quality and decrease manual...
  • Lead projects to implement new and improve existing SAP IBP and APO functionality.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

A bachelor's or master's degree (or equivalent experience) with 10+ years of supply chain planning experience in SAP IBP and APO.

Required

  • 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
  • Proven experience in AI/ML applied to supply chain planning
  • Knowledge of LLMs, machine learning, or data science related to planning
  • Strong S&OP process knowledge, including connecting demand plans with supply capacity to 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

Preferred

  • Semiconductor or high-tech industry supply chain experience, including chip supply constraints, allocation management, and order commit...
  • 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
  • Knowledge of alternative planning platforms such as Kinaxis RapidResponse, Blue Yonder, or Anaplan
  • Data science or machine learning skills (Python, R, or similar) for building custom demand/supply models

Original job description

Content provided by the employer

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.

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 September 12, 2026.

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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.