Manager, Product Management

Key Responsibilities Build and scale the platform capabilities that make AI development faster and more effective across multiple product teams. Work at the intersection of AI, platform engineering, and product strategy to create reusable agent frameworks, services, and development capabilities. Identify common AI needs across partner teams and translate them into scalable platform requirements and product investments. Support the C&DAI portfolio strategy by understanding current and future business, product, technology, and stakeholder needs. Define, socialize, and drive adoption of standards, templates, governance models, and best practices for building AI-powered solutions and agents. Serve as the voice of the customer by leveraging user feedback, product telemetry, and Voice of Customer programs to identify opportunities and prioritize enhancements. Define and monitor success metrics focused on adoption, business impact, product effectiveness, and outcomes across the AI portfolio. Establish and drive product management disciplines across the product lifecycle, including roadmap management, prioritization, experimentation, Agile delivery, and product readiness. Champion a user-centric and data-driven culture through Design Thinking, test-and-learn principles, and continuous product improvement. Partner closely with Engineering, Data Science, UX, Compliance, Security, and Legal teams to deliver scalable, compliant, and high-quality AI solutions. Make thoughtful tradeoff decisions balancing customer value, technical feasibility, risk, scalability, and time-to-market considerations. Build strong relationships across regions, functions, and stakeholder groups to drive alignment, influence decisions, and accelerate adoption. Foster operational excellence through documentation, knowledge management, repeatable processes, and scalable ways of working. All About You Required6+ years of Product Management experience in AI, analytics, data, platform, or technology products. Strong understanding of Generative AI concepts including: LLMs, AI Agents, Agent Orchestration, Retrieval-Augmented Generation (RAG), Evaluation & Testing, AI Governance & Controls Experience partnering with Engineering and Data Science teams to deliver production-grade solutions. Strong analytical thinking and structured problem-solving skills. Outstanding stakeholder management and communication skills. Ability to influence across teams without direct authority. Experience working in Agile product environments. Comfortable with coding and working with large data assets Preferred Experience building internal platforms, developer products, APIs, or reusable services. Experience with AI development ecosystems and agent frameworks. Familiarity with experimentation, model evaluation, and responsible AI practices. Experience working across global organizations and multiple stakeholder groups. Knowledge of payments, analytics, consulting, or data products. Success in This Role After 12 months, this individual will have:Helped expand adoption of AI Foundations capabilities across multiple BMI products. Defined and scaled reusable frameworks that reduce duplication of AI development effort. Enabled product teams to launch AI-powered experiences faster through shared platform services. Contributed to a consistent approach for agent development, governance, and deployment across BMI. Established measurable platform adoption and business impact metrics. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.