Senior Product Manager, Data & AI Products

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 environment. 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.

• 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.
• Collaborate with stakeholders across finance, risk, operations, and executive leadership to gather requirements and align product initiatives with business goals.
• Establish product success metrics, monitor adoption and performance, and continuously optimize products based on user feedback and data insights.
• Support the evolution of semantic data layers, data governance practices, and certification processes to improve trust, consistency, and accessibility of enterprise data.
• Develop clear product documentation, business cases, and requirements that enable cross-functional teams to deliver high-quality solutions.
• Lead product discovery efforts, evaluate emerging technologies, and balance competing priorities to maximize business impact.

Requirements

• 6 to 10+ years of product management experience, including at least 3 years focused on data products, analytics platforms, AI solutions, or machine learning-driven products.
• Proven track record of successfully launching and scaling data-intensive products within complex enterprise environments.
• Experience collaborating with data engineering, analytics engineering, machine learning, or software engineering teams.
• Strong understanding of modern data ecosystems, including data warehouses, semantic layers, business intelligence tools, and data orchestration platforms.
• Technical fluency with data concepts, including SQL, data modeling, system architecture, and data platform design.
• Knowledge of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and emerging AI technologies.
• Strong product discovery, user research, roadmap planning, and requirements definition capabilities.
• Experience establishing and tracking meaningful product metrics, adoption indicators, and business outcomes.
• Excellent stakeholder management and communication skills, with the ability to influence technical and non-technical audiences.
• Strong analytical thinking, strategic problem-solving abilities, and sound decision-making skills.
• Comfortable working in ambiguous, fast-evolving environments while balancing multiple priorities and trade-offs.
• Experience in financial services, fintech, capital markets, analytics, or data science environments is highly desirable.
• Familiarity with platforms such as Databricks, dbt, or similar modern data stack technologies is an advantage.

Benefits

• Fully remote work environment with flexibility to work from anywhere in India.
• Opportunity to lead cutting-edge Data and AI initiatives with significant organizational impact.
• Exposure to advanced analytics, machine learning, and generative AI technologies.
• Collaborative, inclusive, and innovation-driven culture that values diverse perspectives.
• Career growth opportunities through ownership of high-visibility products and strategic initiatives.
• Access to continuous learning, professional development, and leadership opportunities.
• Work alongside highly skilled cross-functional teams spanning product, engineering, analytics, and business functions.
• Meaningful work contributing to data-driven decision-making and business transformation.
• Competitive compensation package and comprehensive employee benefits.
• Supportive workplace focused on inclusion, collaboration, and long-term professional success.