NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join us and discover how you can make a lasting impact on the world.
We are seeking an experienced Senior Business Systems Analyst, SAP IBP Demand Planning, to design, implement, and support advanced demand planning capabilities using SAP Integrated Business Planning (IBP). The ideal candidate will employ statistical forecasting, machine learning, demand sensing, and collaborative planning to improve forecast accuracy and support data-driven supply chain decisions. You will partner with Sales, Finance, and Supply Chain teams to develop intelligent demand plans, enable scenario-based decision making, and drive adoption of advanced planning capabilities.
What You’ll Be Doing:
Demand Planning Solution Design: Build, configure, and deploy Demand Planning solutions in SAP IBP to support global demand forecasting and consensus planning processes. Configure planning levels, key figures, time profiles, and master data attributes to enable scalable demand planning models. Implement demand planning workflows integrating Sales and Supply Chain teams. Design and handle integrations between demand intake platforms (Anaplan) and SAP IBP Demand Planning, ensuring accurate demand signal capture, automated data flows, and alignment with enterprise demand planning processes.
Advanced Forecasting, AI, & Analytics: Build statistical forecasting models including seasonal, trend-based, and intermittent demand models. Configure machine learning forecasting algorithms to increase forecast accuracy and improve demand signal analysis. Develop and maintain forecast model selection and parameter optimization strategies. Leverage Generative AI insights via SAP Joule to analyze forecast results and recommend improvements. Develop dashboards and reporting on demand performance analytics.
Demand Sensing: Configure short-term demand sensing capabilities by using real-time signals such as orders, shipments, and point-of-sale data. Improve near-term forecast accuracy through data-driven adjustments.
New Product Introduction (NPI) Planning: Configure and support lifecycle planning and new product forecasting by using reference products and attribute-based modeling. Enable seamless transition from product launch to steady-state demand planning.
Demand Segmentation & Prioritization: Apply ABC/XYZ segmentation models to categorize products based on revenue contribution and demand volatility. Define differentiated planning strategies for various demand segments. Configure demand prioritization rules.
Scenario Planning & Simulation: Develop what-if scenarios and simulations to analyze impacts of demand fluctuations, promotions, and supply constraints. Support business decision-making with scenario-based planning.
Data Quality & Forecast Performance: Implement outlier detection, data cleansing, and forecast error monitoring. Track forecast accuracy using metrics such as MAPE, bias, and Added Forecast Value (FVA).
Integration & Data Flow: Integrate SAP IBP with ERP platforms like SAP S/4HANA and SAP ERP Central Component (ECC). Ensure real-time demand signals and synchronization of master data.
What We Need to See:
Bachelors or Master's degree, or equivalent experience in Information Systems, Computer Science, or Business.
12+ years of experience in Supply Chain Planning solutions
4+ years of experience in deploying SAP IBP Demand Planning
Deep understanding of Sales & Operations Planning (S&OP) processes
Demonstrated expertise in integrating SAP IBP with ERP systems
Strong influencing skills and ability to build relationships across IT and business
Experience with: Statistical forecasting models; Machine learning-based demand forecasting; Demand sensing; ABC/XYZ segmentation; Promotion planning; Scenario planning and simulations; Configuring planning areas, key figures, planning levels, time profiles, forecast models
Ways to Stand Out From the Crowd:
Supply chain planning experience in the semiconductor industry or high-tech manufacturing environments
Experience with AI/ML forecasting features in SAP IBP
Experience implementing/leading consensus demand planning and S&OP processes
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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