Lead Technical Program Manager

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 Technical Program Manager

The AI & Decision Product Enablement Program (AI & DPE) is a transformative internal product suite that powers intelligent, data-driven decision-making across market-facing financial products. It delivers industry leading intelligence by applying complex business logic throughout the payment lifecycle and broader financial ecosystem, enabling real-time, scalable decisions that directly impact revenue, cost efficiency, and risk management.

The platform leverages supercomputing, advanced business rules, AI/ML technologies, agentic AI frameworks, streaming big data platforms, high-speed in-memory caching, APIs, and user interfaces to enrich financial data and drive measurable business outcomes.

As we expand our capabilities, we are investing in AI Agents to automate decisioning, accelerate operational workflows, and enhance financial insights, ranging from real-time transaction intelligence to forecasting, anomaly detection, and executive reporting.

We are seeking a self-driven highly motivated Lead Technical Program Manager with strong financial domain expertise and hands-on experience delivering AI-driven and agent-based solutions. This role is pivotal in driving execution across complex programs, ensuring alignment between product, engineering, and finance stakeholders, and delivering high-impact capabilities that improve financial performance and decision velocity. This role ensures successful execution against prioritized commitments and fosters alignment across cross-functional teams.

Key Responsibilities

* Lead end-to-end delivery of large-scale, cross-functional programs spanning AI platforms, financial systems, and agent-based solutions.

* Drive roadmap planning, dependency management, risk mitigation, and execution rigor across multiple work streams.

* Partner with engineering and product teams to design, develop, and operationalize AI Agents (e.g., decision agents, reporting agents, workflow automation agents).

* Ensure agents are scalable, governed, and aligned to enterprise standards for accuracy, explainability, and risk controls.

* Lead initiatives involving financial data, cost tracking, forecasting, and P&L impact analysis.

* Ensure tight integration between financial data sources to enable realtime insights and measurable business outcomes.

* Develop and implement strategies to ensure system resiliency, financial accuracy, and operational stability.

* Embed financial governance, auditability, and risk controls into AI-driven decision systems and automation workflows.

* Translate complex technical and financial concepts into clear, executive ready insights for leadership forums.

* Support Agile Release Trains and drive Program Increment (PI) planning and execution.

* Define KPIs and OKRs that measure both technical performance and financial/business impact.

* Stay at the forefront of AI/ML and agentic frameworks, identifying opportunities to drive automation and intelligent decisioning across the enterprise.

* Continuously evaluate financial and operational performance to optimize program outcomes.

* Mentor TPMs and cross-functional team members, fostering strong program discipline and outcome-driven execution.

About You

* Strong experience working with financial systems, cost modeling, forecasting, budgeting, or transaction-based platforms.

* Ability to connect technical delivery to financial outcomes (revenue impact, cost efficiency, margin improvement, risk reduction).

* Proven experience delivering solutions leveraging AI/ML technologies and/or AI Agents (LLMs, automation agents).

* Familiarity with concepts such as prompt design, agent orchestration,…