Manager, AI & Data Strategy

Overview

In this role you will help shape Mastercard’s AI and data strategy by researching trends, engaging stakeholders, and applying responsible AI principles. You will translate complex AI, data, and regulatory developments into practical guidance across products and operations. You will collaborate with product, legal, privacy, risk, and technology partners to promote governance and data-driven decision-making. This position offers a meaningful opportunity to influence how Mastercard deploys AI responsibly at scale and across global teams.

Responsibilities

• Support execution of Mastercards AI and data strategy and identify improvement opportunities
• Conduct advanced research on AI, analytics and data trends with relevance to Mastercard
• Synthesize industry and regulatory developments into actionable insights for leaders
• Provide data-driven strategic recommendations on AI capabilities and risk
• Contribute to development of responsible AI governance frameworks and methodologies
• Assist in designing governance approaches, guardrails and ethical standards
• Advise teams on integrating analytics, generative AI, and agentic AI responsibly
• Collaborate with cross-functional stakeholders to embed responsible AI into workflows
• Promote data literacy and practical guidance on AI opportunities and risks
• Participate in industry engagement, publications and knowledge sharing
• Develop reusable knowledge assets and governance artefacts
• Measure governance effectiveness and AI adoption initiatives
• Mentor junior team members and share best practices

Key requirements

• Experience in AI strategy, data strategy, analytics, responsible AI, product strategy, or related field
• Strong understanding of generative AI, agentic AI, ML, analytics and data management
• Ability to translate complex developments into practical business insights
• Proven stakeholder influence and cross-functional collaboration
• Knowledge of responsible AI concepts: fairness, transparency, privacy, governance, model risk
• Strong analytical and problem-solving skills
• Excellent written, verbal, and executive communication
• Experience developing strategic recommendations, frameworks or governance materials
• Ability to balance innovation with risk management and governance
• Curiosity about emerging technologies, societal trends and future business impacts
• Proven ability to operate in ambiguous, rapidly evolving environments
• Bachelor’s degree in relevant field
• Strong communication and executive-presenting abilities
• Collaborative and cross-functional mindset
• Strategic and analytical thinking
• Generative AI
• Agentic AI
• Machine learning fundamentals

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