Director of AI & Data Strategy

The Director, AI & Data Strategy is an established subject-matter expert responsible for advancing Mastercard's thinking, frameworks and practices across AI and data strategy The role applies deep expertise and extensive experience to deliver key strategic initiatives and make significant improvements to new and existing products, services and business processes The Director leads pioneering research, evaluates emerging AI and data developments, and provides forward-looking guidance on their potential business, regulatory, ethical and societal implications Working across business, technology, legal, privacy, compliance and risk teams, the role develops responsible AI frameworks, anticipatory guardrails and practical methods that enable innovation while protecting customer trust and Mastercard's long-term resilience AI and Analytics Integration: Champion the responsible incorporation of advanced analytics, generative AI, agentic AI and other innovative methodologies into core products, services, processes and decision‑making frameworks Cross-Functional Governance Partnership: Collaborate with legal, privacy, compliance, risk, technology, data, product and business teams to embed responsible AI and data practices into operational workflows, product-development processes and strategic decisions Global Standards and Societal Expectations: Monitor evolving regulatory requirements, industry standards, ethical expectations and societal concerns. Help Mastercard's frameworks and practices remain responsive to changing global expectations Data and AI Literacy: Promote a culture of data literacy, responsible experimentation and informed decision-making. Develop practical guidance that enables technical and non‑technical colleagues to understand both the potential and limitations of AI and data‑driven approaches Methods and Best Practices: Create reusable frameworks, assessment models, research methods, decision tools and best practices that improve the consistency and quality of AI and data strategy across Mastercard Capability Development and Mentoring: Mentor colleagues by sharing specialist knowledge, emerging research, innovative techniques and best practices. Build deeper expertise within the team and strengthen Mastercard's broader community of AI and data practitioners Measures of Success Mastercard has a clear, credible and forward-looking perspective on emerging AI and data developments Senior leaders receive timely and actionable guidance on emerging opportunities, risks, ethical considerations and potential societal impacts Responsible AI frameworks and guardrails anticipate future developments rather than addressing only known or immediate risks Emerging AI capabilities are evaluated consistently against customer value, technical feasibility, strategic relevance, ethical considerations and potential harm Responsible AI and data practices are embedded into product, technology and operational workflows across Mastercard Complex research and emerging trends are translated into practical frameworks, decisions and organisational actions AI and data literacy improves across technical, business and control functions Reusable research methods, governance models and best practices strengthen the consistency and maturity of Mastercard's AI and data strategy Team members and cross-functional partners develop deeper expertise through mentoring, knowledge sharing and exposure to emerging practices Strong understanding of privacy, security, transparency, fairness, accountability, data rights, model risk and other responsible AI considerationsDemonstrated ability to lead research and horizon-scanning activities and translate emerging developments into strategic business implicationsRecognized subject-matter expertise in AI strategy, data strategy, responsible AI, AI governance, technology policy or a closely related disciplineDeep understanding of generative AI, agentic AI, machine learning, advanced analytics and the data foundations required to support these capabilitiesExperience mentoring colleagues and developing specialist capability through knowledge sharing and practical guidanceExperience developing advanced governance frameworks, ethical standards, guardrails, assessment models or responsible innovation practicesSignificant experience applying specialist knowledge to complex business, technology, regulatory or societal challengesDemonstrated influence across organisational boundaries, particularly when working with legal, compliance, privacy, risk, technology and product teamsAbility to balance innovation, customer value, feasibility, governance and long-term societal considerationsAbility to evaluate emerging and hypothetical risks where historical evidence, regulatory direction or established industry practices may be limitedAbility to communicate complex and uncertain topics clearly to senior executives, technical specialists, control functions and business stakeholdersStrong critical-thinking skills, intellectual curiosity and willingness to challenge assumptions constructivelyBachelor's degree in data science, computer science, engineering, technology, public policy, law, ethics, business or equivalent practical experience. An advanced degree is advantageous but not requiredExperience within payments, financial services or another highly regulated and globally distributed industryExperience in responsible AI, AI assurance, technology ethics, algorithmic accountability, model governance or technology-policy researchFamiliarity with global AI regulations, governance standards and industry frameworksExperience advising senior leaders on emerging technologies, strategic uncertainty and long-term organisational resilienceEvidence of external or internal thought leadership through research papers, executive publications, conference participation or industry working groupsExperience translating research and policy developments into operational controls, product-development practices and enterprise governance #J-18808-Ljbffr Mastercard