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Director, Subject Matter Expert - AI & Data Strategy

Mastercard · Bogota

Nuevo
Senior 🇬🇧 English
GenAI LLMs RAG Agentic AI Cloud platforms APIs Data governance

Descripcion del puesto

About the role

Mastercard Services, through its Advisors organization, offers consulting, advanced analytics, AI and technology services to clients worldwide. This Director, Subject Matter Expert - AI & Data Strategy role leads the definition, articulation and communication of Data & AI strategy across Spanish-speaking Latin America at executive level, bridging market innovation, client needs and Mastercard's global AI product roadmap.

Key responsibilities

  • Translate AI and data capabilities into strategic narratives for C-suite audiences and shape regional Data & AI strategy.
  • Bridge technical and non-technical stakeholders, turn business needs into AI and agentic architectures, and provide technical leadership and architectural governance.
  • Evaluate and select AI and agentic technologies, drive best practices, ensure security, responsible AI and compliance, and guide solutions from proof of concept to production.
  • Represent Mastercard at conferences and forums and work with strategic clients.
  • Lead proposals, client discovery and early-stage sales cycles, and influence go-to-market strategies in a matrixed organization.
  • Produce thought leadership, frameworks and regional points of view, mentor delivery teams and align with global product teams.

Required profile

  • Bachelor's or Master's degree in Computer Science, Engineering, AI or a related field.
  • Proven experience in consulting, innovation, product strategy or front-office roles.
  • Ability to speak credibly with C-level executives and strong storytelling and public communication skills.
  • Advanced English (written and spoken).

Required skills

  • Strong command of AI concepts, data governance versus data management and the end-to-end Data & AI value chain.
  • Expertise in GenAI, LLMs, RAG, agentic AI and enterprise-scale AI solutions.
  • Knowledge of cloud platforms, APIs, data integration, security and AI governance.
  • Understanding of MLOps, monitoring and production deployment.

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