Role Summary
At Mastercard, AI and data systems are core to how our platforms operate, how decisions are made, and how risk is managed. The engineers and data scientists who design and run these systems require continuous, high quality skill development that keeps pace with how the work is actually done in production. The Director, AI & Advanced Data Learning is responsible for building and sustaining deep, practitioner level learning for Mastercard's most technical roles, including AI engineers, machine learning engineers, data scientists, and emerging specialist roles. This role is not focused on general AI literacy or enterprise wide adoption. It is deliberately scoped to advanced technical practice. Reporting to the VP, Data & Technology Learning, this role designs learning aligned to real tools, platforms, workflows, and constraints that technical teams face when building and operating AI and data systems at scale.
Key Responsibilities
Experience & Capabilities
Significant experience in Learning & Development, talent development, or capability development, with ownership of complex, enterprise scale portfolios rather than isolated programs. Proven ability to design, evolve, and sustain learning for experienced technical practitioners, not just early career or general audiences. Direct exposure to AI, ML, data, or engineering environments, with enough depth to understand real workflows, constraints, and trade offs. Demonstrated success operating in complex, global, matrixed organizations, where influence depends on alignment rather than authority. Ability to hold and enforce high standards while maintaining productive partnerships with engineering and platform leaders. Comfortable moving between strategic definition and hands on execution, making clear prioritization and scope decisions. Sufficient technical credibility to ask informed questions, challenge assumptions, and recognize when learning is disconnected from real practice. Clear, direct communicator who can engage senior technologists and executives without oversimplifying or posturing. Bias toward precision, rigor, and usefulness over generic frameworks, trends, or vendor led abstractions.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Pay Ranges
Purchase, New York: $175,000 - $281,000 USD
New York City, New York: $182,000 - $293,000 USD