Jobs / Mexico / Mastercard International Incorporated

Senior Managing Consultant, Advisors & Consulting Services, AI Strategy, Data Governance & Data Management, and AI/Data Solution Architecture

Mastercard International Incorporated · 🌍 Mexico City, Mexico

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About the role

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 Senior Managing Consultant, Advisors & Consulting Services, AI Strategy, Data Governance & Data Management, and AI/Data Solution Architecture All roles share a director‑level seniority, require mastery of the Data & AI value chain, and demand strong executive‑level communication and negotiation capabilities. Shared Requirements Across All Three Director Roles • Mastery of the AI value chain (data ingestion → pipelines → models → deployment → monitoring → scaling). • Ability to lead or participate in early‑stage sales, framing value and defining use cases. • Balance of technical depth and business acumen. • Excellent written and verbal communication. • Comfort navigating ambiguity and fast‑evolving technology landscapes. • Experience working within matrixed organizations and influencing without authority. • Ability to design/supervise scalable, replicable solutions by leveraging global and local teams.   1. AI & Data Strategy – Subject Matter Expert About Mastercard Mastercard is a global technology company in the payments industry, connecting consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories through secure, simple, and accessible transactions. About Mastercard Services Mastercard Services—through its Advisors organization—includes over 3,000 consultants across 53 countries, transforming insights from billions of aggregated, anonymized transactions into advanced analytics, AI, strategic consulting, and value‑added technology services. About Advisors & Client Services (ACS) ACS delivers specialized consulting in payments, advanced analytics, AI, and emerging technologies. Teams partner closely with clients worldwide to accelerate innovation, digital transformation, and the adoption of Mastercard’s product and platform ecosystem. About the AI & Analytics Practice The AI & Analytics practice is an interdisciplinary group focused on accelerating Mastercard’s AI‑enabled solutions across regions while fostering capability development within delivery teams. The practice enables global and regional teams to scale AI responsibly, consistently, and efficiently. Role Purpose Lead the definition, articulation, and executive‑level communication of Data & AI strategy across Spanish‑speaking Latin America, bridging market innovation, client needs, and Mastercard’s global AI product roadmap. Core Role Objectives • Translate AI and data capabilities into compelling strategic narratives for C‑suite audiences. • Shape and guide regional Data & AI strategy, identifying high‑value opportunities for innovation and early‑stage commercial acceleration. • Represent Mastercard in conferences, international forums, and conversations with strategic clients. Common SME Responsibilities • Lead proposals, client discovery phases, and early‑stage sales cycles. • Participate in or lead complex Data & AI projects across industries. • Produce thought leadership, frameworks, and regional points of view. • Mentor delivery teams, elevate technical/strategic intuition, and strengthen regional capability. • Ensure alignment with global product teams and cross‑functional groups. • Influence GTM strategies by navigating a complex, matrixed organizational environment. Role-Specific

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Source: Employer career site (Workday) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

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