Jobs / India / Mastercard International Incorporated
Lead Product Manager (AI)-2
Mastercard International Incorporated · 🌍 Pune, India
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About the role
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Product Manager (AI)-2 About the Team Mastercard's Business & Market Insights (B&MI) group empowers organizations to achieve growth and innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage. We are currently looking for a Lead Product Manager (AI) for the Operational Intelligence Program within the B&MI group. This role owns the product strategy and roadmap for an AI agent platform that serves Mastercard issuers and acquirers - enabling non-technical financial operations teams to surface insights, investigate anomalies, and act on reconciliation data through natural language. You will define what gets built, sequence when it gets built, and ensure every decision is grounded in measurable customer and business value. You work at the intersection of customer discovery, AI capability, and compliance - and you are comfortable making hard prioritization calls in all three dimensions simultaneously. Roles and Responsibilities: - Own the end-to-end product strategy for the AI agent platform: define the vision, articulate the roadmap, and maintain a prioritized backlog that reflects real customer need, business impact, and delivery feasibility. - Drive customer discovery alongside forward deployed engineers - conduct structured interviews with issuers and acquirers, synthesize operational workflow pain points into validated product requirements, and distinguish symptoms from root causes. - Translate PoC findings and field signal into scoped, shippable product briefs: clearly written requirements, acceptance criteria, and edge cases that engineering teams can build against without returning to you for clarification. - Define and own the agent capability roadmap - which workflows get automated, in what sequence, at what level of AI autonomy - balancing customer readiness, data availability, and compliance constraints. - Set and track outcome-oriented success metrics for each agent and platform capability; ensure the team is measuring actual customer impact (time saved, errors reduced, queries resolved) not just activity. - Partner with engineering leads to make build-versus-buy-versus-configure decisions; understand enough about how AI systems work to evaluate feasibility claims honestly without being captured by engineering enthusiasm or conservatism. - Own the compliance and governance interface: work with legal, security, and risk teams to ensure product decisions account for data classification, audit requirements, and approval gates - and translate those constraints back into product requirements without losing velocity. - Manage stakeholder expectations across business, technology, and customer-facing teams; communicate roadmap trade-offs clearly and defend prioritization decisions with evidence. - Define the agent maturity model - the progression from informational to insight to recommendation to action - and own the criteria that determine when a capability is ready to advance to the next tier. - Identify platfor