# Manager, AI & Data Strategy

**Company**: Mastercard
**Location**: London, England
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/London-England-Devonshire-Square/Manager--AI---Data-Strategy_R-292795?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_90559cb2-437

## Description

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.

Key Responsibilities:

- 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.

- 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.

- Support internal and external thought leadership activities by synthesising industry developments, emerging technologies and regulatory trends into actionable insights for business and technology leaders.

- 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.

- 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.

- Support the design of forward-looking governance approaches, guardrails and ethical standards that help Mastercard proactively address evolving regulatory, societal and technology-related risks.

- 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.

- 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.

- 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.

- 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.

- Develop reusable frameworks, research summaries, evaluation approaches, governance artefacts and educational materials that can be leveraged across Mastercard.

- Assess the effectiveness of governance practices, strategic initiatives and AI adoption efforts, recommending enhancements based on new evidence, industry developments and organisational needs.

- 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.

All About You:

- 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.

## Skills

### Required
- AI strategy
- data strategy
- analytics
- responsible AI
- product strategy
- consulting
- generative AI
- agentic AI
- machine learning
- data management
- research
- stakeholder engagement
- governance
- risk management

### Nice to have
- Experience in payments, financial services or another highly regulated industry
- Exposure to AI governance, model governance, technology risk, privacy or compliance functions
- Experience conducting market research, technology assessments or strategic analyses
- Familiarity with global AI regulatory developments and responsible AI frameworks

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