Job Title: Head AI Product Manager
Experience: 12–15+ Years (with 7+ years in AI Product Management)
Location: Navi Mumbai
About Jio-bp
Jio-bp (Reliance BP Mobility Limited) is a joint venture between Reliance Industries Limited (RIL) and bp, committed to transforming the mobility and energy landscape in India. Jio-bp delivers world-class fuels, mobility solutions, and customer experiences while advancing sustainability and digital innovation. As part of its digital transformation journey, Jio-bp is establishing an AI Center of Excellence (AI CoE) to drive data-led decision-making, innovation, and operational excellence across business functions.
Role Overview
The Head AI Product Manager will own and drive the enterprise AI/GenAI product portfolio for Jio-bp's 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 realization 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
- 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.
- 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).
- Delivery Leadership (Squads, Scrums, and Program Governance)
- 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.
- Governance, Risk, and Enterprise Readiness
- Ensure enterprise readiness for every release: Security/IRM alignment, auditability, approvals, privacy-by-design, Responsible AI controls, and Dev→UAT→Prod 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.
- 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.
- 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 reporting—ensuring scalable rollouts without cost overruns.
- 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.
Must-Have Skills & Experience
- Bachelor's/Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field; MBA or equivalent is a plus.
- 12–15+ 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 RIL's broader AI transformation agenda.
- Be a core builder of the AI CoE foundation, driving measurable business value across Jio-bp operations.
