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Tier-1 brand, metro location, and a popular early-career product role with broad technical requirements.
Product and data engineering skills are transferable, though domain-specific tools moderately constrain mobility.
Explicit 1–2 year requirement plus mandatory technical skills in SQL, Python, Azure and Databricks.
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Own the digital product strategy and roadmap for an internal data domain product, collaborating with multi-functional and regional/global teams.
Translate customer needs into user stories, personas, and user journeys; deliver MVPs to validate product value.
Design and manage data pipelines (Azure, Databricks, PBI) ensuring data governance, security, and AI experimentation to enhance product value.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, Statistics, or related field.
1-2 years of experience as product manager/product owner.
1-2 years experience in data engineering/software engineering with skills in SQL, Python, and Databricks/Microsoft Fabric.
Work Location: Mumbai office. Work Experience Required: 1-2 years; Other certifications preferred but not mandatory.
Experience working in data-centric digital product environments with focus on data pipelines and integrations.
Ability to manage product backlogs and define strategic roadmaps in collaboration with multiple internal and regional/global stakeholders.
Familiarity with emerging AI technologies and ability to apply AI agents/tools (e.g., N8N, LangChain) to enhance product functionality.