AI/ML Product Manager

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. 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. 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. 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. 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; 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: ability to quantify value, adoption, and cost, and drive decisions based on data. Retail + Oil & Energy experience is a strong plus. 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.