





Strong global brand, popular product manager role, and likely metro location increase candidate competition.
Platform product and data engineering focus moderately limits transferability, but skills apply across data-driven industries.
Explicit 7+ years requirement plus mandatory product and data engineering skills makes screening highly selective.
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Own the end-to-end product strategy, roadmap, and delivery lifecycle for data platforms including the Customer Data Platform (CDP).
Act as the primary liaison between business stakeholders, data scientists, and engineering teams to drive data-driven growth and platform adoption across Rakuten business units and external clients.
Oversee scalable data pipeline development and ensure high-quality, discoverable data assets optimized for AI/ML use cases.
7+ years of experience in Product Management and Data Engineering.
Bachelor’s degree in Technology (B.Tech) required; M.Tech/MS is optional.
Proficient in SQL and at least one modern scripting/programming language such as Python, Java, Scala, or NodeJS.
Experience managing platform development across the software development lifecycle (SDLC), including data modeling, warehousing, designing ETL/ELT pipelines.
Experienced in bridging business strategy with technical execution, converting complex requirements into actionable tasks for engineering teams.
Strong technical proficiency to oversee scalable data architecture and ensure data quality for AI/ML initiatives.
Proven ability to lead cross-functional collaboration among business stakeholders, data scientists, and engineers to maximize platform adoption and impact.