Director, Subject Matter Expert – AI
Mastercard is hiring a Director, Subject Matter Expert – AI in Bogotá, Colombia. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions RAG, MLOps and AI safety among its tools and skills.
- Level classes it as an executive role.
- Mastercard has 1,100+ other open roles on Level.
- Posted in the last few days.
AI in this 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
Director, Subject Matter Expert – AIDIRECTOR, SUBJECT MATTER EXPERT – AI & DATA STRATEGYROLE DESCRIPTION
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.
Purpose of the Role
Lead the definition, articulation and communication of Data & AI strategy across Spanish‑speaking Latin America at the executive‑level, bridging market innovation, client needs, and Mastercard’s global AI product roadmap.
Objectives of the Role
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.
Bridge technical and non-technical stakeholders.
Translate business needs into AI & Agentic architectures.
Provide technical leadership and architectural governance.
Evaluate and select AI & Agentic technologies.
Drive AI & Agentic architectural best practices and innovation.
Ensure security, responsible AI and compliance.
Guide solutions from PoC to production.
Build foundations that accelerate AI, agentic and data product deployment.
Represent Mastercard in conferences, international forums, and conversations with strategic clients.
General SME Responsibilities
Lead proposals, client discovery phases, and early‑stage sales cycles.
Participate in or lead complex Data & AI projects across industries.
Influence GTM strategies by navigating a complex, matrixed organizational environment.
Produce thought leadership, frameworks, and regional points of view.
Ensure alignment with global product teams and cross‑functional groups.
Mentor delivery teams, elevate technical/strategic intuition, and strengthen regional capability.
Role-Specific Responsibilities
Lead executive‑level storytelling, including strategy decks, value frameworks, and market narratives.
Support early‑stage sales through idea framing, value proposition definition, use case identification, and business case development.
Connect client needs to global AI and data product teams, shaping future capabilities.
Guide clients on AI value creation, ROI measurement, and scalable operating models.
Identify white‑space opportunities and contribute to new solution design.
Evaluate technical AI & Agentic feasibility assessment, solution design, architecture and technology & model selection.
Define and validate security, responsible AI & governance.
Profile & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related fields.
Proven experience in consulting, innovation, product strategy, or front‑office roles.
Demonstrated ability to speak credibly and confidently with C‑level executives, storytelling and public communication skills.
Strong analytical thinking, stakeholder management skills, and negotiation capabilities.
Strong command of AI concepts, data governance vs. data management, and the end‑to‑end Data & AI value chain.
Ability to translate business requirements into technical solutions.
Expertise in GenAI, LLMs, RAG, Agentic AI and designing enterprise-scale AI solutions.
Strong knowledge of cloud platforms and AI services, APIs, data integration, security, and AI governance.
Understanding of ML Ops, monitoring, and production deployment.
Advanced English (written and spoken).
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 that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
How we rate this
Director, Subject Matter Expert – AI at Mastercard rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG, ML Ops, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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