# Manager, AI & Data Strategy at Mastercard

Mastercard is hiring a Manager, AI & Data Strategy in London, United Kingdom. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/3dbca99e-7272-4b96-bce5-2c2d2592fcdc?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. London, England (Devonshire Square).

## Details

- Company: [Mastercard](https://jobsbylevel.com/companies/mastercard)
- AI level: AI Level 3 (score 66 out of 100)
- Location: London, England (Devonshire Square)
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/3dbca99e-7272-4b96-bce5-2c2d2592fcdc?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/manager-ai-data-strategy-at-mastercard-fc6803

## 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 Manager, AI & Data Strategy Role Summary 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. Key Responsibilities 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

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Source: https://jobsbylevel.com/jobs/manager-ai-data-strategy-at-mastercard-fc6803

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