This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
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
What we offer:
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
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