Head - AI (Artificial Intelligence) Product Manager

Role & responsibilities

The Head AI Product Manager will own and drive the enterprise AI/GenAI product portfolio for Jio-bps AI CoE, end-to-end from strategy to scale. This is a hands-on leadership role reporting to the Head of AI CoE, combining AI product management, business analysis, and program/project execution. You will lead a small team of Product Managers, run multiple delivery squads/scrums, and ensure production rollouts meet enterprise governance (Security/IRM), Responsible AI, and value realisation expectations.

This role requires strong domain orientation (Retail + Oil & Energy a strong plus), the ability to translate business workflows into AI products, and strong analytical rigor to track outcomes, adoption, and cost.

Key Responsibilities

1)Product Strategy & Portfolio Ownership

• Define AI CoE product vision, product operating model, and multi-quarter roadmap aligned to business priorities and enterprise platform readiness.
• Own portfolio-level prioritization and sequencing across BUs; ensure trade-offs across value, feasibility, risk, and timelines are made decisively.
• Establish portfolio OKRs/KPIs and value tracking: ROI, adoption, productivity gains, SLA improvements, and customer/operations impact.

2)Business Analysis & Problem Framing (Hands-on)

• Lead enterprise business analysis for priority initiatives: workflow mapping, requirement elicitation, pain-point analysis, data readiness assessment, and success criteria definition.
• Convert ambiguous business asks into clear problem statements, user journeys, and product specs (PRDs/BRDs), backed by logical assumptions and measurable outcomes.
• Ensure data and process dependencies are captured early (source systems, data quality, refresh cycles, user roles, and control requirements).

3)

• Drive multi-squad execution: run or oversee scrums, sprint planning, reviews, retros, and delivery cadence across products.
• Own program governance: milestones, dependency management, RAID logs, release readiness, and escalation closure.
• Ensure high-quality delivery artifacts: epics/stories, acceptance criteria, UAT strategy, rollout/hypercare plans, and documentation standards.

4)Governance, Risk, and Enterprise Readiness

• Ensure enterprise readiness for every release: Security/IRM alignment, auditability, approvals, privacy-by-design, Responsible AI controls, and DevUATProd release gates.
• Partner with AI Architects/MLOps/Cloud/Security teams to ensure solutions meet non-functional requirements: reliability, observability, controls, and supportability.
• Drive product standards for Responsible AI and GenAI safety: guardrails, evaluation evidence, monitoring expectations, and controlled change management.

5)Adoption, Change Management & Stakeholder Leadership

• Lead change management at scale: stakeholder communications, enablement/training, rollout playbooks, and adoption measurement.
• Run executive updates and steering forums: crisp status, risks, mitigation, investment asks, and value realization reporting.
• Build strong partnerships with BU leaders, SPOCs, and operations owners to ensure sustained adoption and continuous improvement.

6)GenAI Cost / Value Discipline

• Own GenAI usage economics: define and track token usage, cost per interaction, cost-to-value, and consumption guardrails.
• Partner with Platform/MLOps/FinOps to implement cost controls and reportingensuring scalable rollouts without cost overruns.

7)People Leadership (Small Team Management)

• Lead and mentor a small team of AI Product Managers/BAs: capability building, quality standards, delivery ownership, and performance feedback.

Establish consistent ways of working across internal and partner teams to drive speed, quality, and accountability.

Preferred candidate profile

• Bachelors/Masters degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field; MBA or equivalent is a plus.
• 12 to 15+ years in Product/Program roles, with 7+ years owning AI/ML/GenAI products end-to-end, including multi-squad delivery leadership and enterprise rollouts.
• Proven experience owning enterprise AI product portfolios, with strong hands-on delivery leadership and people management (managing PMs and running squads).
• Strong grasp of the end-to-end AI lifecycle: data readiness, evaluation, deployment readiness, monitoring/drift/quality, retraining strategy; plus GenAI/RAG fundamentals (embeddings, retrieval, prompt patterns, guardrails).
• Strong business analysis capability: translating business workflows into clear requirements, logical acceptance criteria, and measurable success metrics.
• Strong program/project management discipline: multi-squad planning, dependency management, RAID, executive reporting, and vendor governance.
• Experience operating in enterprise governance environments: Security/IRM reviews, audit requirements, compliance controls, release discipline.
• Strong analytical and structured problem-solving skills; ability to quantify value, adoption, and cost, and drive decisions based on data.
• Domain expertise orientation: Retail + Oil & Energy experience is a strong plus.
• Excellent executive communication and stakeholder influence; ability to drive alignment across business, engineering, and partners.

Why Join Jio-bp AI CoE

• Opportunity to build and shape an enterprise-grade AI/GenAI platform on Azure Databricks from the ground up.
• Work at the intersection of energy, mobility, and digital innovation with high-visibility, high-impact programs.
• Collaborate with cross-functional teams and contribute to RILs broader AI transformation agenda.
• Be a core builder of the AI CoE foundation, driving measurable business value across Jio-bp operations.