Vice President, Data & Tech Learning

Key Responsibilities

• Define and lead a multi year global strategy for data, engineering, and technology skill development—from foundations to advanced, expert level capability building
• 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 business outcomes, not just learning activity
• Use skills data and performance signals to continuously refine strategy and guide investment decisions
• Ensure Mastercard’s approach remains current with industry best and next practices for developing elite technical talent
• Lead, develop, and inspire a high performing global team of learning professionals
• Set a clear expectation for technical credibility, business orientation, and execution excellence
• Foster a culture of innovation, inclusion, and continuous learning, bringing the Mastercard Way to life across the technical learning ecosystem

Experience & Capabilities

• Significant leadership experience in learning, talent, or workforce development, with direct exposure to technology, data, or engineering heavy environments
• Demonstrated success designing and leading technical skill development at advanced levels, not just generic or foundational technical training
• Strong understanding of how software engineers, data scientists, AI practitioners, and architects build expertise over time, including applied learning, practice based models, and mentorship
• Ability to translate technology strategy into concrete skill priorities and learning interventions
• Proven track record of connecting learning strategy to measurable business and engineering outcomes
• Highest level of effective people leader with experience leading senior, multidisciplinary teams in complex, global, matrixed organizations
• Exceptional stakeholder influence and communication skills, with the ability to engage credibly with senior technologists and executives