Data Product Manager

Job ID

64596

Category

Global Data Insight \& Analytics

Location

Chennai, India

Work Type

Hybrid

• Define and drive product vision, strategy, and execution for AI\-driven user enablement, spanning natural language insights, analytics experiences, developer productivity tools, and enterprise chatbots.
• Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
• Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.
• Translate user needs into **epics, PRDs, and evaluation benchmarks**; prioritize features and enhancements using impact\-driven frameworks.
• Build and maintain success metrics around **adoption, accuracy, usability, and performance** to guide continuous improvement.
• Advocate for governance, metadata quality, and knowledge management to ensure AI\-driven tools produce accurate and trusted results.
• Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.
• **User Adoption**: Measurable growth in unique active users across business and developer personas.
• **Accuracy \& Trust**: 80% accuracy on benchmarked AI responses, with high user satisfaction scores.
• **Productivity Impact**: Demonstrable improvements in developer and analyst productivity through AI\-driven automation and insights.
• **Scalability**: New teams/domains onboarded with reduced friction and improved metadata quality.
• 8–10 years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
• Proven success in **AI/ML\-enabled products**, with strong understanding of large language models (LLMs), NLP, and conversational interfaces.
• Strong grasp of **cloud technologies, enterprise data platforms, and modern analytics ecosystems**.
• Demonstrated ability to work across cross\-functional teams (engineering, ML, UX, business stakeholders) to drive end\-to\-end delivery.
• Excellent skills in user research, stakeholder engagement, and storytelling with data.
• Experience setting KPIs and evaluation frameworks for AI/analytics products.
• Strong written and verbal communication skills; able to engage both executive and technical audiences.