Vice President, Data & Tech Learning

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.

Vice President, Data & Tech Learning

At Mastercard, technology and data capabilities are foundational to our ability to innovate, scale, and compete. As these domains evolve at unprecedented speed—driven by cloud, AI, data, and modern engineering practices—we must continuously deepen the technical expertise of our most critical talent. The Vice President, Data & Technology Learning is a senior enterprise leadership role within Learning & Development, accountable for defining and leading Mastercard’s end-to-end strategy for upskilling, deep skilling, and advancing technical talent at the highest levels of mastery.

This role ensures our engineering, AI and data, architecture, and platform professionals build skills that directly translate into engineering excellence, platform reliability, innovation velocity, and business impact. This VP brings a credible point of view on how world class technical talent is developed, with direct experience designing learning for advanced professionals—not just foundational training. They will lead a global portfolio spanning early career technologists through senior level experts, ensuring learning pathways are rigorous, relevant, and aligned to Mastercard’s technology strategy.

The role reports to the Chief Learning Officer and leads a global team of learning professionals. It sits at the intersection of technology strategy, talent, and skill evolution at Mastercard.

• Define and lead a multi-year global strategy for data, engineering, and technology skill development—from foundations to advanced, expert level capability building
• Establish a cohesive, persona-based learning ecosystem for technical talent (e.g., software engineers, data scientists, ML engineers, platform engineers, architects), aligned to real role expectations and progression
• Maintain a strong external and forward-looking perspective on how AI, cloud, data platforms, modern engineering practices, and emerging technologies are reshaping technical roles and skill requirements

• Ensure learning experiences go beyond awareness or basic proficiency, enabling deep technical mastery, applied problem solving, and real-world execution
• Partner with senior technologists and engineering leaders to define what “good” and “great” look like at advanced levels, and translate that into credible learning pathways
• Oversee the evolution of technical academies, curricula, credentials, and hands‑on experiences that build elite level capability

• Serve as a trusted thought partner to Technology leadership on how technical skill development drives engineering outcomes, productivity, innovation, and platform resilience
• Ensure all major initiatives are explicitly tied to business-relevant outcomes, such as speed to proficiency, quality, reliability, rework reduction, and innovation throughput
• Partner closely with Talent, Workforce Planning, and People Analytics to align skill investments to priority roles, platforms, and future capability gaps

• Lead the end-to-end portfolio across data, engineering, AI, and technology learning, with clear ownership, prioritization, and sequencing
• Drive disciplined execution—from needs identification and experience design through adoption, application, and continuous improvement
• Own the budget and learning asset portfolio with a strong focus on ROI, scale, and effectiveness

• Define success metrics that connect technical learning to engineering performance and…