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Director, Subject Matter Expert - AI

mastercard · Bogota

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

Descripcion del puesto

About the role

Mastercard Services, through its Advisors organization, offers consulting in payments, advanced analytics, AI and emerging technologies. This Director, Subject Matter Expert - AI 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 evaluate and select AI and agentic technologies.
  • Drive architectural best practices, ensure security, responsible AI and compliance, and guide solutions from proof of concept to production.
  • 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, and mentor delivery teams.
  • Represent Mastercard at conferences and forums, and connect client needs to 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 communicate credibly with C-level executives and strong storytelling and public communication skills.
  • Strong analytical thinking, stakeholder management and negotiation skills.
  • Advanced English (written and spoken).

Required skills

  • Expertise in GenAI, LLMs, RAG, agentic AI and enterprise-scale AI solutions.
  • Strong knowledge of cloud platforms, APIs, data integration, security and AI governance.
  • Understanding of ML Ops, monitoring and production deployment.

Questions fréquentes

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Source : ats:workday

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