Product Manager With Demand Forecasting and Digital commerce

Product Manager with Retail Demand Forecasting

12Months contract

Remote

Updated key requirements

• 5+ years of Product Management or Product Ownership experience, with a demonstrated track record of delivering customer-facing digital products.
• Experience partnering closely with Data Science, Machine Learning, Engineering, and/or Personalization teams.
• Strong understanding of how data, predictive models, and algorithms translate into meaningful customer experiences and business outcomes.
• Experience with Retail Demand Forecasting, including demand prediction, sales forecasting, inventory optimization, or replenishment planning.
• Understanding of forecasting models, historical sales data, seasonality, promotions, customer behavior, and demand patterns.
• Ability to collaborate with Data Science and ML teams to translate forecasting models and insights into actionable product capabilities.
• Ability to operate effectively in an ambiguous, fast-moving environment and quickly learn new products, technologies, and business domains.

Additional preferred skills

• Retail analytics and merchandising.
• Demand planning and inventory management.
• Supply chain forecasting.
• Predictive analytics and time-series forecasting.
• Inventory replenishment and allocation.
• Forecast accuracy measurement (MAPE, WAPE, Bias).
• Promotion and seasonal demand forecasting.