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.