AI Product Manager

Role: AI Product Manager

Experience: 8+ years in Digital/Product Delivery, with 3+ years in AI/Analytics Products

Location: Pune

Role Overview:

We are looking for an experienced AI Product Manager to drive product strategy, discovery, and end-to-end delivery of AI-powered solutions, particularly across banking journeys. The role involves translating business needs into actionable product roadmaps, prioritizing AI use cases, collaborating with cross-functional teams, and ensuring measurable business value while maintaining responsible AI practices.

Key Responsibilities:

• Product Strategy & Roadmap: Define product vision, strategy, and roadmap for AI use cases, ensuring alignment with business objectives and customer needs.
• AI Product Discovery: Identify and evaluate AI opportunities, conduct discovery, assess feasibility, and define measurable outcomes and guardrails.
• Backlog Management: Prioritize product backlogs and create epics, features, user stories, and clear acceptance criteria.
• Stakeholder Management: Collaborate with business, risk, technology, data, and design teams to ensure successful product delivery.
• Agile Delivery & UAT: Coordinate sprint reviews, support user acceptance testing (UAT), validate requirements, and drive release readiness.
• Responsible AI Governance: Incorporate responsible AI principles, risk controls, security considerations, and lifecycle governance into product development.
• Adoption & Value Tracking: Develop adoption plans, monitor KPIs and OKRs, track business benefits, and identify opportunities for continuous improvement.
• UX & Customer Experience: Partner with UX and design teams to ensure AI-powered solutions deliver intuitive and effective user experiences.
• Benefits Measurement: Maintain use-case scorecards, benefits dashboards, and performance metrics to evaluate product outcomes.

Requirements & Qualifications:

• Experience: 8+ years of experience in digital/product delivery, including at least 3 years working with AI or analytics products.
• AI Product Expertise: Experience with AI product discovery, use-case evaluation, and translating business requirements into AI-driven solutions.
• Banking Domain: Understanding of banking products, customer journeys, and relevant business processes.
• AI & Technology Knowledge: Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and generative AI concepts.
• Microsoft AI Ecosystem: Awareness of Azure OpenAI and Microsoft Foundry capabilities.
• Responsible AI: Understanding of responsible AI principles, governance, risk management, security, and the AI product lifecycle.
• Product Management: Expertise in product vision, roadmap planning, backlog prioritization, epics, features, and acceptance criteria.
• Metrics & Value Tracking: Experience defining KPIs and OKRs, measuring adoption, and tracking business value and product benefits.
• Data & Security Literacy: Ability to understand data requirements, security considerations, and technology dependencies.
• Communication Skills: Excellent stakeholder management and communication skills, with the ability to align business and technical teams.

Key Deliverables:

• Product vision and roadmap
• AI use-case scorecards and evaluation frameworks
• Prioritised product backlog and acceptance criteria
• Release planning and adoption strategy
• Benefits tracking dashboard and KPI/OKR reporting

👉 Interested? Share your CV at rudrakshi.jain@zidea.tech