Translate business problems into data product prospects, particularly in areas like inventory optimization and supply planning.
Creating use cases for improving/optimising Inventory using data-driven and data-intensive approaches
Partner with data engineers and analysts to identify and evaluate AI/ML use cases across the supply chain (e.g., energetic safety stock, predictive out-of-stock detection, lead time prediction, etc).
Help define the data platform strategy, define and maintain product roadmaps for internal data products (dashboards, APIs, models) that drive measurable operational improvements.