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.
