The Commercial Demand Manager is responsible for creating and maintaining accurate demand forecasts by analyzing historical data, market trends, and sales input. This role works closely with sales, marketing, supply chain and finance teams to understand building blocks and resulting changes to overall demand. The role holder will work to align forecasts with business objectives, improve forecast accuracy, and support overall supply chain operations. The ideal candidate will also support commercialization efforts and ensure effective integration of promotional activities into demand planning. This role is anticipated to last 14 months with a requirement of full time onsite training then moving to hybrid. Key Responsibilities Utilize historical sales data, market trends, and sales inputs to forecast customer demand. Predict future product demand using statistical models and market insights, adjusting forecasts based on real-time data and market signals. Integrate promotional activities and their effects into demand forecasts. Collaborate with Sales, Marketing and Finance teams to align forecasts with business objectives. Participate in Sales and Operations Planning (S&OP) meetings to ensure demand forecasts are in line with Supply Chain capabilities. Identify demand fluctuations and communicate potential impacts to Supply Planners and other stakeholders. Facilitate collaboration between departments and key partners to ensure forecast accuracy and alignment. Review Cultivar performance to support accurate forecast development. Analyze and manage demand plans, particularly in constrained supply situations. Monitor forecast accuracy and adjust predictions based on real-time data and feedback. Measure and continuously improve forecast accuracy. Qualifications Bachelor’s degree in supply chain management, Business, Economics, or a related field. 5 years experience in demand planning, forecasting, or a related function within supply chain management. Proficiency with forecasting tools and demand planning software (e.g., SAP, Oracle, JDA). Experience with various reporting tools (e.g., BI, Tableau, Acterys). Strong analytical skills with the ability to work with large datasets and statistical modeling. Excellent communication and collaboration skills, with the ability to work cross-functionally. Ability to adapt quickly to changing market conditions and supply constraints. Experience with S&OP processes is a plus. Expertise in coding or script writing is a plus (e.g., Python). Experience in cannabis is preferred. #J-18808-Ljbffr