Senior Business Systems Analyst, SAP IBP Demand Planning

Overview

• 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.