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Tier-1 brand, popular product role, and Bangalore metro increase applicant competition despite domain specialization.
Core product and data skills are transferable, but retail supply chain requirement increases domain specificity.
Mandatory 10+ years, product management, and supply chain data expertise enforce strict shortlisting filters.
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Own the end-to-end lifecycle of data products focused on retail supply chain optimization including inventory health, planning efficiency, and visibility.
Translate business problems into data product opportunities and lead product roadmap definition for internal data platforms, dashboards, APIs, and models.
Collaborate across data engineering, data science, and supply chain operations teams to ensure data quality, integrate AI/ML use cases, and drive measurable operational improvements.
10+ years product management experience with at least 2 years in retail or supply chain domain involving data & analytics.
Strong proficiency in SQL, data visualization tools (Power BI, Tableau), and Python for data exploration and prototyping.
Bachelor of Engineering, B.Tech, MCA, M.E, M.Tech, or MBA degree required.
Working knowledge of AI/ML concepts applied to supply chain, familiarity with demand/supply planning systems preferred.
Experience in driving discovery and identifying data-driven opportunities specifically in retail supply chain context.
Ability to define and track data-led KPIs and align product development towards measurable business value.
Comfortable working at the intersection of product management, data science, and supply chain operations with technical teams on data platform strategy.