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Tier-1 brand, popular product title, and metro Bangalore location increase applicant density.
Data/AI product skills are transferable across industries but domain-specific platform experience is valued.
Explicit 8+ years requirement plus mandatory AI/ML product and technical data platform experience.
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Own and execute product strategy for data platforms, analytics tooling, and AI-driven capabilities focused on scalable, reliable, high-impact solutions.
Lead end-to-end delivery of AI-powered analytics products including problem framing, data feasibility, model evaluation, deployment, and adoption.
Collaborate cross-functionally with data engineers, business partners, analysts, and data scientists to deliver data-driven decision tools and ensure data quality and security.
8+ years product management experience including 2–3 years focused on data platforms, analytics, or AI/ML products.
Hands-on experience shipping AI/ML-powered features or products (e.g., recommendation systems, predictive models, LLM-based applications).
Master's degree in Statistics, Analytics, Mathematics, Economics, or a related quantitative field (preferred).
Strong technical fluency in data architecture, pipelines, ML/AI concepts, and data analysis techniques; proficient in SQL and dashboard tools (Tableau, Power BI, etc.).
Experienced in translating complex business needs into clear product roadmaps within data analytics and AI domains, partnering effectively with technical and business stakeholders.
Capable of operating at both strategic and technical depths with proven delivery of AI/ML-powered analytics products in cross-functional environments.
Strong background in statistical analysis, data-driven decision making, and familiarity with responsible AI practices including bias, explainability, and governance.