Head of Product

IDFC FIRST Bank, in partnership with Magna Hire, is looking for an experienced Lead Product Manager - Gen AI to drive the strategy, development, and adoption of AI-powered analytics products. This role will lead the end-to-end product lifecycle for Gen AI solutions, enabling conversational analytics, autonomous data agents, and intelligent decision-making across the organisation. The ideal candidate combines strong product management expertise with a deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI workflows, modern data platforms, and enterprise analytics.

The core responsibilities for the job include the following:

Product Strategy and Vision:

• Define and own the long-term product vision and roadmap for Gen AI-powered analytics platforms.
• Align AI capabilities with business priorities to drive measurable customer and business outcomes.
• Build compelling business cases for AI investments and prioritise initiatives based on impact.

Gen AI Product Development:

• Own the complete product lifecycle from ideation, Proof of Concept (PoC), MVP development, production rollout, and continuous optimisation.
• Lead the development of conversational analytics products powered by LLMs, RAG, AI Agents, and enterprise knowledge systems.
• Drive rapid experimentation while ensuring production readiness and scalability.

Agentic AI and Conversational Analytics:

• Design and deliver intelligent AI agents capable of autonomous reasoning, planning, and data analysis.
• Define product requirements for Retrieval-Augmented Generation (RAG), AI copilots, conversational interfaces, and autonomous workflows.
• Embed conversational AI seamlessly into business and analytics workflows.

AI Platform and Data Integration:

• Collaborate with engineering teams to integrate Gen AI products with Azure OpenAI, AWS Bedrock, enterprise data lakes, vector databases, BI platforms, and internal applications.
• Drive product decisions around data ingestion, embeddings, prompting strategies, model orchestration, and AI infrastructure.

AI Governance and Responsible AI:

• Ensure products leverage trusted enterprise data with strong governance, lineage, access controls, and security.
• Define frameworks for AI safety, explainability, compliance, and responsible AI adoption.

Product Performance and Evaluation:

• Establish product success metrics covering AI response quality, Accuracy and hallucination rates, Latency, Cost optimization, User adoption, and Business impact.
• Continuously optimise models, prompts, and user experiences using feedback and experimentation.

Stakeholder Management:

• Partner with business leaders, analytics teams, engineering, architecture, risk, compliance, and operations to define AI use cases and deliver impactful solutions.
• Communicate product vision, roadmap, and outcomes to senior leadership.

Leadership:

• Mentor Product Managers and cross-functional teams on AI-first product thinking.
• Foster a culture of experimentation, customer obsession, and data-driven decision-making.

Key Success Metrics:

• Successful launch and adoption of Gen AI products across business functions.
• Improvement in productivity and decision-making through AI-driven analytics.
• High user engagement and satisfaction with conversational AI experiences.
• AI quality metrics, including accuracy, latency, safety, and cost optimisation, meeting defined benchmarks.
• Timely delivery of roadmap commitments while maintaining product quality.
• Positive stakeholder feedback and measurable business impact from AI initiatives.

Requirements:

• 10+ years of Product Management experience with at least 2-3 years leading AI or Gen AI products.
• Proven experience building enterprise products from concept through production.
• Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, AI Agents, and conversational AI.
• Experience working with Azure OpenAI, AWS Bedrock, OpenAI APIs, or similar enterprise AI platforms.
• Strong understanding of data platforms, APIs, cloud architecture, and analytics ecosystems.
• Experience collaborating with Engineering, Data Science, ML Engineering, and Business teams.
• Strong analytical thinking with the ability to translate complex business problems into AI-powered product solutions.
• Experience working in Agile product development environments.
• Excellent communication, stakeholder management, and leadership skills.

Preferred Skills:

• Experience with enterprise analytics platforms and Business Intelligence tools such as Power BI or Tableau.
• Familiarity with vector databases, embeddings, semantic search, and AI orchestration frameworks.
• Exposure to ML lifecycle management, experimentation frameworks, and AI evaluation methodologies.
• BFSI or Financial Services experience is preferred.
• MBA or equivalent business qualification is an advantage.