Manager of AI & Data Strategy

Mastercard as the Manager of AI & Data Strategy, where you will be responsible for advancing the company's AI and data strategy through research, stakeholder engagement, and the practical application of responsible AI principles.

Responsibilities

• You will work closely with various teams to evaluate emerging technologies, develop strategic recommendations, and promote the adoption of data-driven and AI-enabled practices.
• Your role will involve conducting research, generating strategic insights, contributing to responsible AI framework development, and fostering a culture of data literacy and responsible innovation.
• Contribuer à l'exécution de la stratégie d'IA et de données de Mastercard en soutenant les initiatives stratégiques et en identifiant les opportunités d'amélioration.
• Effectuer des recherches avancées sur les tendances émergentes en matière d'IA, d'analytique et de données, en identifiant les opportunités innovantes et les risques potentiels.
• Contribuer au développement et à l'affinement des cadres de gouvernance des données et de l'IA responsables, des modèles d'évaluation et des meilleures pratiques.

Requirements

• Solid understanding of generative AI, agentic AI, machine learning, analytics and data management principles
• Experience in AI strategy, data strategy, analytics, responsible AI, product strategy, consulting or a related field
• Proven ability to operate effectively in ambiguous and rapidly evolving environments
• Knowledge of responsible AI concepts including fairness, transparency, privacy, governance, accountability and model risk

Excellent written, verbal and executive communication skills

• Experience developing presentations, strategic recommendations, frameworks or governance materials
• Strong intellectual curiosity and interest in emerging technologies, societal trends and future business impacts
• Ability to conduct research and translate complex technical, regulatory and industry developments into practical business insights
• Strong analytical and problem-solving skills with the ability to evaluate emerging opportunities and risks
• Ability to balance innovation with appropriate risk management and governance considerations
• Experience influencing stakeholders and collaborating across multiple business and technical disciplines
• Bachelor's degree in business, data science, engineering, computer science, technology or related discipline

Preferred

• Experience in payments, financial services or another highly regulated industry
• Experience conducting market research, technology assessments or strategic analyses
• Experience contributing to white papers, thought leadership publications, conference presentations or industry forums
• Familiarity with global AI regulatory developments and responsible AI frameworks

Exposure to AI governance, model governance, technology risk, privacy or compliance functions