Vice President, Data & Tech Learning

Mastercard • New York, NY

1d

About The Position

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.

Requirements

• 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
• Highly 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

Responsibilities

• 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 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

Benefits

• insurance (including medical, prescription drug, dental, vision, disability, life insurance)
• flexible spending account and health savings account
• paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time and 5 personal days, pro-rated based on date of hire
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• deferred compensation for eligible roles
• fitness reimbursement or on-site fitness facilities
• eligibility for tuition reimbursement
• and many more

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed