Product Manager Data Analytics & AI/ML (New Delhi)

• Product Manager Data Analytics & AI/ML (New Delhi)
• Company: Antal International
• Job Location: New Delhi, Delhi, India
• Employment Type: Full-time
• Experience Required: 8 - 12 years
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The Product Manager Will own the product vision, strategy, and roadmap for analytics and AI/ML-driven product lines, working at the intersection of business strategy, user experience, and data.

This role translates complex analytical and data science capabilities into products that are genuinely usable partnering closely with Engineering, QA, Presales, customer, Management and across the full product lifecycle, from discovery through GTM and adoption.

• KEY RESPONSIBILITIES
• Product Strategy & Roadmap
• Own the product vision, strategy, roadmap, and product lifecycle for analytics and AI/ML-driven products.
• Define and execute go-to-market strategy, product positioning, and customer enablement.
• Track product KPIs, adoption, engagement, and business impact, and use them to steer prioritization.
• Discovery & Research
• Conduct user interviews, surveys, usability testing, and competitive analysis.
• Analyze customer feedback and product analytics to inform product decisions.
• Translate data and analytics requirements into concrete product features and actionable insights.
• Product Definition & Delivery
• Create PRDs, user stories, epics, use cases, and acceptance criteria.
• Own product UI/UX, user journeys, wireframes, and prototypes in collaboration with the design team.
• Drive UAT, product validation, releases, and continuous post-launch improvement.
• Cross-Functional Collaboration
• Manage stakeholders across business and technical teams, keeping priorities aligned and expectations clear.
• REQUIRED QUALIFICATIONS
• Education
• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (mandatory).
• MBA or a degree in a data/quantitative discipline is a plus.
• Experience
• 812 years of Product Management / Product Ownership experience, with demonstrable ownership of vision, roadmap, discovery, and GTM.
• Exposure to Data Analytics, Data Science, AI/ML, Data Visualization, and BI products.
• Track record taking products end-to-end from discovery through launch and adoption.
• Technical Skills
• Product Management: Agile/Scrum practice with Jira, Figma, or similar tools; solid PRD and user-story documentation; product analytics instrumentation.
• Soft Skills
• Strong stakeholder management and communication skills, written and verbal.
• Comfortable translating ambiguous data and analytics requirements into clear, actionable product features.
• Structured, evidence-driven approach to prioritization and decision-making. .