Demand Planner

Topcon Positioning•Livermore, CA

11d•Onsite

About The Position

Topcon Positioning Group is seeking a data-driven Demand Planner to manage, optimize, and execute product forecasting processes. This role will leverage SAP IBP for advanced statistical modeling and scenario planning, ensuring seamless data alignment and execution within the core SAP ECC environment. The Demand Planner will act as a critical link between Sales, Marketing, and Finance, and supply chain execution to improve forecast accuracy and optimize inventory levels.

Requirements

Bachelor’s degree in supply chain management, Business Analytics, Industrial Engineering, Statistics, or a related field.
3 to 5+ years of dedicated supply chain or demand planning experience.
Minimum 2 years of practical experience using SAP IBP (specifically the Demand and S&OP modules), including setting up key figures, planning levels, and running "what-if" scenario models.
Solid functional knowledge of SAP ECC modules (specifically PP, MM, or SD), master data elements (material master, BOMs), and how system-led planning maps to execution.
Highly proficient in advanced Excel (Pivot Tables, VLOOKUPs, data modeling) and analytics platforms like Microsoft Power BI.
Proven ability to translate complex data into clear operational guidance and manage cross-functional stakeholder alignments effectively.

Responsibilities

Develop and maintain high-quality baseline statistical forecasts within SAP IBP Demand Planning, leveraging machine learning, demand sensing, and historical data patterns.
Manage the transfer of master data and planning figures between SAP IBP and SAP ECC, ensuring forecasts successfully write back to ECC as Planned Independent Requirements (PIR) to feed Material Requirements Planning (MRP).
Facilitate monthly Sales and Operations Planning (S&OP) meetings with sales, marketing, and finance teams to integrate promotional calendars, market intelligence, and lifecycle changes into the consensus plan.
Audit and clean historical sales history data within SAP IBP, adjusting for one-time anomalies, stockouts, or unexpected spikes to ensure forecast model integrity.
Track, analyze, and report on key metrics including Forecast Accuracy, Error, Bias, and Mean Absolute Percentage Error (MAPE), diagnosing root causes to continuously refine the system's predictive accuracy.