Senior Demand Planner

Senior Demand Planner

The Senior Demand Planner plays a critical role within the Integrated Business Planning cycle, leading the development and execution of demand forecasts across product categories and distribution channels. This role owns material‑level forecasting and drives alignment between demand plans and Brand financial targets. Partnering closely with cross‑functional teams, the Senior Demand Planner leads the forecasting process, ensuring assumptions are aligned, insights are actionable, and outcomes support both operational execution and business performance.

• Cross‑Functional Collaboration – Partner with Sales, Marketing, Finance, Supply Chain, and Operations to align on demand assumptions and forecast outcomes.
• Support planning and S&OP / IBP processes by clearly communicating forecast changes, risks, and drivers.
• Present demand insights and recommendations in a clear, structured, and data‑driven manner.
• Forecasting & Demand Analytics – Develop and maintain demand forecasts across multiple time horizons using statistical forecasting methods, market inputs, historical sales data, and order book analysis.
• Design, test, and refine forecasting approaches, including baseline demand modeling, seasonality analysis, and trend adjustment.
• Monitor forecast accuracy and bias, investigate root causes of forecast error, and implement corrective actions.
• Apply appropriate forecasting methodologies by product, customer, channel, or segment based on demand behavior.
• Model Building & Deployment – Build, maintain, and enhance forecasting models within demand planning systems and analytical tools.
• Translate statistical model outputs into operational forecasts aligned with planning and supply processes.
• Define and document assumptions, methodologies, and limitations to ensure forecast transparency and repeatability.
• Partner with technology and planning teams to improve forecasting tools, system parameters, and automation.
• Market & Business Integration – Incorporate qualitative inputs such as promotions, pricing actions, market dynamics, and product lifecycle events into forecasts.
• Evaluate the impact of demand drivers and external signals on forecast performance and planning risk.
• Provide scenario analysis and sensitivity views to support decision‑making under uncertainty.
• Continuous Improvement – Drive improvements in forecast accuracy, model robustness, and planning efficiency through ongoing analysis and learning.
• Identify opportunities to standardize best practices, improve forecast governance, and reduce manual effort.
• Serve as a technical thought partner and mentor to other planners and analysts.
• Additional Responsibilities & Compliance – Perform duties consistent with the Company’s AAP/EEO goals and policies and any other duties as required/assigned by manager.

• Bachelor’s degree in Supply Chain, Operations Research, Statistics, Economics, Data Science, Engineering, or a related quantitative field.
• 2–4 years of experience in demand planning, forecasting, or advanced supply chain analytics roles.
• Strong understanding of statistical forecasting methods, including time‑series analysis and regression‑based approaches.
• Advanced Excel skills for large datasets, modeling, and validation.
• Experience using demand planning or forecasting platforms (e.g., SAP IBP, Blue Yonder/JDA, Oracle Demantra, Kinaxis, or similar).
• Demonstrated ability to analyze forecast performance, diagnose issues, and improve results over time.

Normal office environment. Some travel may be required. The Company offers a flexible, hybrid work schedule with three days in office and two days remote.

The Company is committed to creating a diverse workforce and is an equal opportunity employer. We aim to create equal opportunities for all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other legally protected characteristic.