Mastercard
Financial Services
Director,AI&AdvancedDataLearning&Development
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“Director, AI & Advanced Data Learning & Development at Mastercard. Skills: AI engineers, ML engineers, data scientists, advanced technical practice, AI and data systems at scale, production relevant learning. Set and Own the Advanced AI & Data Learning Agenda. Enable Progression Across Defined Proficiency Levels”
What You'll Achieve.
Speed to production readiness; Reduction in repeat defects or rework; Consistency in how models are built, deployed, and governed; learning is improving real performance
Industry & Context.
analytical skills
What They're Looking For.
Must Have
AI engineers, ML engineers, data scientists, emerging specialist roles, advanced technical practice, real tools, platforms, workflows, and constraints that technical teams face when building and operating AI and data systems at scale, Model development, evaluation, and iteration, Data and feature pipelines, Deployment, monitoring, and lifecycle management, MLOps / LLMOps, reliability, performance, and cost considerations, Responsible AI, governance, and risk controls as they show up in practice, hands on learning approaches (labs, platform scenarios, real failure modes), how teams actually ship, debug, and maintain AI and data systems, 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, Track record of influencing senior stakeholders across Technology, Data, AI, and HR functions, including leaders with deeply held technical opinions, 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
Nice to Have
GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Set and Own the Advanced AI & Data Learning Agenda
Enable Progression Across Defined Proficiency Levels
Design and Deliver Production Relevant Learning
Lead Through Influence in a Matrixed Organization
and Partner Management
Measure Impact and Continuously Improve
How You'll Work.
Team & Collaboration
Partner with senior AI, data, and engineering leaders; works cross functionally and without direct authority across Technology, Data, AI, and HR ecosystems; Navigate competing priorities and viewpoints; Serve as a trusted partner to senior technologists; building durable relationships; Establish feedback loops with engineering and platform leaders
Communication Scope
Clear, direct communicator who can engage senior technologists and executives without oversimplifying or posturing
Process & Methodology
sequencing decisions, prioritization, scope decisions
Full Job Description
**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._ **Title and Summary** ### Director, AI & Advanced Data Learning & Development ### 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 Set and Own the Advanced AI & Data Learning Agenda • Own the end to end advanced learning strategy for AI engineers, ML engineers, data scientists, and emerging specialist roles, aligned to Mastercard’s AI and data platform direction • Translate enterprise AI strategy and platform roadmaps into clear skill priorities, learning investments, and sequencing decisions • Continuously reassess priorities as tools, platforms, and practices evolve, ret
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