- 4–8 years in product management with strong 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 transparent 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.