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Senior Product Manager, Data (India)

IndiaPosted 1 month ago
Product And Program ManagementSeniorFull Time; Regular
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data & AI Products based in India. This is a unique opportunity for an experienced product leader to shape the future of data-driven decision-making and AI-powered innovation within a fast-growing, technology-focused setting. Sitting at the intersection of product strategy, data infrastructure, analytics, and artificial intelligence, you will lead the development of internal platforms that empower business teams with trusted, accessible, and actionable insights. The role involves driving the vision and roadmap for advanced data products, AI-enabled analytics solutions, and enterprise-scale decision-support systems. Working closely with engineering, analytics, finance, and business stakeholders, you will influence high-impact initiatives that support strategic planning and operational excellence. This position is ideal for someone who thrives on solving complex challenges, translating technical capabilities into business value, and delivering products that transform how organizations leverage data. Accountabilities: - Define and execute the product strategy, roadmap, and vision for internal data products, analytics platforms, and AI-powered solutions. - Lead the development and adoption of an AI-driven analytics assistant, driving product requirements, user workflows, governance frameworks, and measurable business outcomes. - Own and enhance a portfolio of enterprise data products that support forecasting, financial planning, analytics, reporting, and operational decision-making. - Partner with engineering, analytics, and data science teams to prioritize features, manage delivery timelines, and ensure successful product execution. - Drive innovation in AI, machine learning, and data accessibility by identifying opportunities to improve efficiency, automation, and self-service analytics capabilities. - Collabor .

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