Senior Business Systems Analyst - SAP IBP Planning
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What you'll do
- 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 they're looking for
- 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.
Nice to have
- 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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from 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.
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.Company
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