• 4–8 years in product management with robust exposure to data & analytics; at least 2 years in a retail or supply chain setting.
• Experience in driving Discovery to identify problems and opportunities in Retail Supply Chain through data analysis.
• Ability to express what data-led KPIs are being driven and focus the development efforts toward providing that value.
• Must be aware of external trends and be able to assess if and where they fit on our product agenda or how they can drive our business forward
• Working knowledge of AI/ML concepts and their applications in supply chain (no model building expected, but familiarity with pipelines and model outputs is needed).
• Strong proficiency in SQL, data visualization tools (e.g., Power BI, Tableau), and comfort with Python for data exploration.
• Experience working with data lakes, APIs, and event-driven architectures.
• Ability to write clear Requirements and collaborate with technical teams (data engineering, data science, supply chain operations).
• Familiarity with demand/supply planning systems (e.g., Blue Yonder, SAP IBP) is a plus.