AI & Data Strategy Leader - Responsible AI & Governance

Mastercard Inc.

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago

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Job summary

Mastercard Inc. is seeking a Manager, AI & Data Strategy to advance AI governance and data initiatives across products and operations. You will collaborate with business, technology, legal, compliance and risk partners to translate complex developments into practical strategies.

Responsibilities include conducting research, trend analysis, thought leadership and governance framework development, while mentoring teammates and promoting responsible AI adoption across Mastercard.

Qualifications

Experience in AI strategy, data strategy, analytics, responsible AI, product strategy, consulting or a related field.
Solid understanding of generative AI, agentic AI, machine learning, analytics and data management principles.
Ability to conduct research and translate complex technical, regulatory and industry developments into practical business insights.
Experience influencing stakeholders and collaborating across multiple business and technical disciplines.
Knowledge of responsible AI concepts including fairness, transparency, privacy, governance, accountability and model risk.
Strong analytical and problem-solving skills with the ability to evaluate emerging opportunities and risks.
Excellent written, verbal and executive communication skills.
Experience developing presentations, strategic recommendations, frameworks or governance materials.
Ability to balance innovation with appropriate risk management and governance considerations.
Strong intellectual curiosity and interest in emerging technologies, societal trends and future business impacts.
Proven ability to operate effectively in ambiguous and rapidly evolving environments.
Bachelor's degree in business, data science, engineering, computer science, technology or related discipline.

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 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.