Manager of AI & Data Strategy

Mastercard; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Mastercard Inc. is seeking a Manager, AI & Data Strategy to advance Mastercard’s AI and data strategy through research, stakeholder engagement and responsible AI principles.

You will apply advanced knowledge of AI, data, analytics and governance to support strategic initiatives, influence decisions and improve products, services and processes. You will work closely with business, technology, legal, compliance, privacy and risk partners to evaluate emerging technologies and promote data-driven,

Qualificações

• Solid understanding of generative AI, agentic AI, ML, analytics and data management
• Experience in AI strategy, data strategy, analytics, responsible AI, product strategy or consulting
• Ability to operate effectively in ambiguous and rapidly evolving environments
• Excellent written, verbal and executive communication skills
• Experience developing presentations, strategic recommendations, frameworks or governance materials
• Familiarity with global AI regulatory developments and responsible AI frameworks
• Exposure to payments, financial services or another highly regulated industry

Responsabilidades

• Advance Mastercard’s AI and data strategy through research, stakeholder engagement and practical application of responsible AI principles
• Collaborate with business, technology, legal, compliance, privacy and risk partners to evaluate emerging technologies and promote responsible AI adoption
• Support execution of Mastercard’s AI and data strategy by identifying improvement opportunities and driving outcomes
• Conduct advanced research into AI, analytics and data trends to identify opportunities and risks
• Contribute to internal and external thought leadership by synthesising industry developments into actionable insights
• Provide data-driven analysis and strategic recommendations regarding emerging AI capabilities
• Contribute to development of responsible data and AI governance frameworks and guardrails
• Assist in governance design to address regulatory, societal and technology-related risks
• Advise teams on integrating analytics and AI approaches into products and processes
• Partner with cross-functional stakeholders to embed responsible AI into operations and strategy
• Help foster data literacy and responsible innovation through guidance and education
• Engage in industry forums and publications to enhance Mastercard’s AI leadership
• Develop reusable frameworks, research summaries and governance artefacts
• Evaluate governance practices and AI adoption through ongoing measurement and improvement
• Mentor junior team members and promote capability building
• Align initiatives with Mastercard Way: value, collaboration, speed, integrity

Conhecimentos

Generative AI

Agentic AI

Machine Learning

Analytics

Data governance

AI governance

Strategic thinking

Stakeholder management

Communication

Research

Regulatory awareness

Formação académica

Bachelor’s degree in business, data science, engineering, computer science, technology or related discipline

Descrição da oferta de emprego

• The Manager, AI & Data Strategy is a developing subject-matter expert responsible for advancing Mastercard’s AI and data strategy through research, stakeholder engagement and practical application of responsible AI principles. The role applies advanced knowledge of AI, data, analytics and governance to support strategic initiatives, influence decision-making and contribute to improvements across products, services and business processes
• Working closely with business, technology, legal, compliance, privacy and risk partners, the Manager helps evaluate emerging technologies, develops strategic recommendations, contributes to responsible AI frameworks and promotes the adoption of data-driven and AI-enabled ways of working across Mastercard
• AI and Data Strategy Execution: Contribute to the execution of Mastercard’s AI and data strategy by supporting strategic initiatives, identifying improvement opportunities and helping drive outcomes aligned to organisational priorities
• Research and Trend Analysis: Conduct advanced research into emerging AI, analytics and data trends, identifying innovative opportunities, potential risks and market developments relevant to Mastercard’s products, services and operations
• Thought Leadership Development: Support internal and external thought leadership activities by synthesising industry developments, emerging technologies and regulatory trends into actionable insights for business and technology leaders
• Strategic Insight Generation: Provide data-driven analysis and strategic recommendations regarding emerging AI capabilities, including future and hypothetical risks, helping leaders make informed decisions and strengthen organisational resilience
• Responsible AI Framework Development: Contribute to the development and refinement of responsible data and AI governance frameworks, assessment models, methodologies and best practices that support innovation while protecting customer trust
• Governance and Risk Support: Support the design of forward-looking governance approaches, guardrails and ethical standards that help Mastercard proactively address evolving regulatory, societal and technology-related risks
• AI and Analytics Adoption: Advise business and technology teams on integrating innovative analytics, generative AI and agentic AI approaches into products, services and operational processes while promoting responsible usage practices
• Cross-Functional Collaboration: Partner with product, engineering, legal, compliance, privacy, security, risk and business stakeholders to embed responsible AI and data practices into operational workflows and strategic initiatives
• Data and AI Literacy: Help foster a culture of data literacy and responsible innovation by creating practical guidance, facilitating discussions and enabling teams to better understand AI opportunities, limitations and risks
• Industry Engagement and External Visibility: Contribute to industry forums, standards discussions, research initiatives, publications and knowledge-sharing activities that enhance Mastercard’s reputation as a trusted and responsible AI and data leader
• Knowledge Asset Development: Develop reusable frameworks, research summaries, evaluation approaches, governance artefacts and educational materials that can be leveraged across Mastercard
• Performance Measurement and Continuous Improvement: Assess the effectiveness of governance practices, strategic initiatives and AI adoption efforts, recommending enhancements based on new evidence, industry developments and organisational needs
• Mentoring and Capability Building: Guide junior team members through coaching, work reviews and practical development opportunities, sharing best practices and helping build expertise across the AI and data strategy discipline
• Measures of Success
• Research and analysis help identify meaningful opportunities and risks associated with emerging AI and data technologies
• Strategic recommendations influence business decisions and contribute to responsible innovation initiatives
• Governance frameworks and AI assessment approaches are consistently applied across projects and initiatives
• AI and analytics capabilities are adopted responsibly and effectively across supported teams
• Data and AI literacy improve through educational activities, frameworks and stakeholder engagement
• Cross-functional teams successfully embed responsible AI principles into products, services and operational processes
• Mastercard’s internal and external thought leadership on AI and data strategy continues to mature and expand
• Junior team members develop stronger expertise through coaching, mentoring and practical guidance
• The role consistently demonstrates the Mastercard Way by creating value, growing together, moving fast and doing the right thing

Solid understanding of generative AI, agentic AI, machine learning, analytics and data management principlesExperience in AI strategy, data strategy, analytics, responsible AI, product strategy, consulting or a related fieldProven ability to operate effectively in ambiguous and rapidly evolving environmentsKnowledge of responsible AI concepts including fairness, transparency, privacy, governance, accountability and model riskExcellent written, verbal and executive communication skillsExperience developing presentations, strategic recommendations, frameworks or governance materialsStrong intellectual curiosity and interest in emerging technologies, societal trends and future business impactsAbility to conduct research and translate complex technical, regulatory and industry developments into practical business insightsStrong analytical and problem-solving skills with the ability to evaluate emerging opportunities and risksAbility to balance innovation with appropriate risk management and governance considerationsExperience influencing stakeholders and collaborating across multiple business and technical disciplinesBachelor’s degree in business, data science, engineering, computer science, technology or related disciplineExposure to AI governance, model governance, technology risk, privacy or compliance functionsExperience in payments, financial services or another highly regulated industryExperience conducting market research, technology assessments or strategic analysesExperience contributing to white papers, thought leadership publications, conference presentations or industry forumsFamiliarity with global AI regulatory developments and responsible AI frameworks