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Strong Tier-1 brand, popular product title, and broad AI/data skillset increase candidate competition.
Requires deep product and data/AI expertise, making skills less transferable across industries.
Requires explicit 8+ years experience, proven AI/ML product delivery, and domain-specific technical skills.
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Own product strategy and execution for data platforms, analytics tooling, and AI-driven capabilities to deliver scalable, high-impact data and AI products.
Lead end-to-end delivery of AI-powered analytics products including problem framing, model deployment, success metrics, and business adoption across cross-functional teams.
Partner closely with data engineering and business stakeholders to build data infrastructure, ensure data quality, and embed responsible AI practices in products.
8+ years of product management experience with at least 2–3 years focused on data platforms, analytics, or AI/ML products.
Demonstrated experience shipping AI/ML-powered products such as recommendation systems, predictive models, or LLM-based applications; this is mandatory.
Master's degree in Statistics, Analytics, Mathematics, Economics, or related quantitative field preferred.
Strong technical skills including understanding of data architecture, ETL/ELT pipelines, statistical methods, SQL, and experience with dashboard tools (Tableau, Power BI, etc.).
Experienced in balancing strategic vision with technical product depth, particularly in data and AI-driven product areas, able to translate complex business needs into actionable products.
Has collaborated intensively with data engineering, business partners, and analytics teams globally, demonstrating strong stakeholder engagement and problem-solving skills.
Comfortable in environments requiring agile methodologies, product lifecycle management, and responsible AI governance, with a quantitative and analytical mindset.