AI Product & Program Manager – Generative AI, LLMs, Roadmap Strategy, Agile/SAFe & Governance

Overview

Lead the strategy, planning, delivery and governance of enterprise AI and Generative AI initiatives, from ideation through production.

What you'll do

• Define the vision, strategy and roadmap for AI and Generative AI products.
• Identify business opportunities where AI can create measurable value, operational efficiency, improved customer experience or competitive advantage.
• Work with business leaders, clients, product teams and technology teams to assess, prioritize and sequence AI use cases.
• Develop product requirements, user stories, success metrics, business cases and value hypotheses.
• Align product roadmaps with organizational strategy, technology capabilities, data availability, regulatory expectations and delivery capacity.
• Lead end-to-end delivery of AI initiatives across multiple teams and stakeholder groups.
• Manage program planning, budgeting, resource allocation, timelines, risks, issues, dependencies and delivery milestones.
• Establish governance frameworks that support consistent decision-making, accountability and alignment with organizational objectives.
• Track program progress and provide regular executive-level status updates.
• Coordinate delivery across product, engineering, data, architecture, security, compliance, operations and business teams.
• Drive issue resolution, escalation management and corrective actions across the program lifecycle.
• Collaborate with Data Scientists, AI Engineers, Architects and Business Analysts to define AI-driven solutions.
• Drive the adoption of Generative AI, Machine Learning, NLP, Computer Vision and other relevant AI technologies.
• Evaluate AI platforms, tools and vendors against business needs, technical suitability, security, cost, scalability and support requirements.
• Act as the primary interface between business stakeholders, clients and technical teams.
• Facilitate workshops, requirements-gathering sessions, use-case discovery sessions, prioritization forums and executive reviews.
• Implement AI governance frameworks covering ethics, compliance, privacy, security, data usage and model risk.
• Define KPIs and success metrics for AI products and programs, and measure business impact, ROI, adoption, customer outcomes and operational efficiency improvements.

What you'll need

• At least 10 years of experience in Product Management, Program Management, Digital Transformation, Technology Delivery or a related field.
• At least 3 years of experience leading AI/ML or Generative AI initiatives.
• Proven experience managing large-scale cross-functional programs involving business, product, technology, data, architecture and operational teams.
• Experience defining product strategies, roadmaps, requirements, user stories, success metrics and business cases.
• Experience managing program plans, budgets, resource allocation, timelines, risks, issues and dependencies.
• Strong understanding of AI/ML lifecycle, Generative AI applications, LLMs, prompt engineering and AI governance.
• Experience with Agile, Scrum, SAFe and product development methodologies.
• Experience communicating program status, risks, decisions and business outcomes to senior leadership.
• Experience with Azure AI, Azure OpenAI, AWS AI/ML, Google Vertex AI, Databricks or similar platforms.
• Experience in BFSI, Healthcare, Retail, Technology or Consulting domains.
• Experience managing vendors, technology partners or external delivery teams.
• Bachelor's or master's degree in Engineering, Computer Science, Information Technology, Business Management or a related field, required or preferred based on applicable experience.
• Candidates may qualify through equivalent experience in AI transformation, digital product management, technology program delivery, enterprise architecture or data and analytics leadership, provided they demonstrate comparable outcomes and capabilities.

Nice to have

• Advanced experience with product portfolio, investment and benefits-realization tools.
• Experience with tools supporting AI use-case intake, prioritization, model governance and responsible AI reviews.
• Experience with dashboarding and analytics tools for KPI tracking and executive reporting.
• Experience with vendor-management, procurement and contract-tracking tools.
• Experience with tools that support SAFe, Scrum, Agile planning and enterprise delivery governance.
• Working knowledge of Python and its use in AI, machine learning or data-processing solutions.
• Experience with SQL and NoSQL databases, vector databases, semantic search and knowledge-management solutions.
• Familiarity with RAG, embeddings, AI agents and LLM orchestration frameworks.
• Experience with AI security frameworks, model-risk management and compliance assessments.
• Experience delivering AI programs in regulated or data-sensitive environments.
• PMP, PgMP, SAFe, PMI-ACP, CSPO or relevant AI certifications.
• An MBA or equivalent business qualification.

Details

• Location: Bengaluru - Bellandur (GTP).