Director, AI & Data Strategy – Integrations

Mastercard · Bogota, Colombia

onsitefull-time10+ years

posted 22h

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 Director, AI & Data Strategy – Integrations Director, AI & Data Strategy – Integrations Role Overview The Director, AI & Data Strategy will lead Mastercard's AI and data strategy efforts supporting the integration and enablement of Recorded Future capabilities across Mastercard's product and services portfolio. This role will focus on cyber threat intelligence, AI-enabled capabilities, data rights, governance, and commercialization opportunities that create value for customers and drive business growth. The successful candidate will partner closely with Product, Cybersecurity, Technology, Privacy, Legal, Governance and Risk teams to evaluate and operationalize data and AI assets while ensuring alignment with Mastercard standards, regulatory requirements, and responsible AI principles. Role Director, AI & Data Strategy • Lead Mastercard's AI and data strategy efforts supporting the integration and enablement of Recorded Future data, cyber threat intelligence, and AI capabilities. • Identify opportunities to leverage threat intelligence, cyber risk data, and AI-driven insights to support product innovation, customer value creation, and revenue growth. • Partner with Product, Cybersecurity, Technology, Privacy, Legal, and Risk teams to develop and execute strategies for data, AI, and intelligence assets. • Evaluate third-party data rights, licensing considerations, usage restrictions, and commercialization opportunities associated with external data assets. • Support AI governance, data governance, privacy, and security initiatives to ensure responsible and compliant use of data and AI capabilities. • Define data requirements, usage strategies, and governance approaches for new products, services, and strategic initiatives. • Provide leadership of complex, cross-functional programs involving multiple stakeholders, priorities, and workstreams. • Support development of new use cases, product concepts, and innovation opportunities enabled by data and AI. • Communicate strategic recommendations, business opportunities, and risks to senior leadership and executive stakeholders. All About You Required Qualifications • 10+ years of experience in cybersecurity, threat intelligence, data strategy, data governance, product development, mergers and acquisitions, or related fields • Bachelor's degree in Computer Science, Engineering, Cybersecurity, Data Science, Information Systems, Business Administration or equivalent experience • Experience working with cybersecurity, fraud, identity, risk management, threat intelligence, or security-related products and services • Experience evaluating third-party data assets, usage rights, licensing models, and commercialization opportunities • Experience leading complex cross-functional initiatives involving business, product, technology, legal, privacy, security, and risk stakeholders • Strong program leadership and stakeholder management skills Experience supporting AI-enabled products, analytics solutions, machine learning initiatives, or AI governance programs • Excellent written, verbal, and executive communication skills Ability to influence, align, and drive outcomes across large organizations • As this candidate will work with global teams, proficiency in English language is required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected t