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 up-to-date 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.

📌 Data Product Manager (Chennai)
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