MastercardSenior Managing Consultant - AI Consulting, Strategy, Deployment - Client Advisory
Mastercard is hiring a Senior Managing Consultant - AI Consulting, Strategy, Deployment - Client Advisory in Dubai, United Arab Emirates. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this AI consultant role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions OpenAI, Claude and Gemini among its tools and skills.
- Level classes it as a senior role.
- Mastercard has 1,100+ other open roles on Level.
- Posted in the last few days.
AI in this role
Lead AI-driven consulting engagements and enterprise AI transformations across the EEMEA region as a trusted C-suite advisor.
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 - AI Consulting, Strategy, Deployment - Client AdvisoryRegional Lead, AI Consulting, Strategy, Deployment - Client AdvisoryPosition Overview
Reporting to the Senior Principal and working closely with Mastercard's AI and product teams, the Director / Senior Managing Consultant will lead AI-driven consulting engagements across EEMEA, helping clients identify, prioritize, design, deploy, and scale AI solutions that deliver measurable business outcomes.
The role combines strategic advisory, AI solutioning, product evaluation, vendor ecosystem management, and transformation delivery to help clients accelerate AI adoption across customer experience, operations, risk management, fraud, marketing, and payments.
The successful candidate will act as a trusted advisor to C-suite executives while leading multidisciplinary teams of consultants, data scientists, ML engineers, and product specialists to drive end-to-end AI transformation programs.
________________________________________
Key Responsibilities
AI Strategy & Executive Advisory
•Define enterprise AI strategies and transformation roadmaps aligned to client business objectives.
•Advise executive stakeholders on AI investment priorities, business cases, operating models, governance frameworks, and value realization approaches.
•Identify and prioritize high-value AI and GenAI use cases across payments, issuing, acquiring, fraud, cyber security, customer service, and operations.
•Translate AI opportunities into actionable implementation plans, including capability requirements, timelines, KPIs, and adoption strategies.
AI Solutioning & Product Strategy
•Lead end-to-end AI solution design, from ideation through deployment and scale.
•Evaluate emerging AI products, platforms, and frameworks to determine business applicability and technical fit.
•Support AI product strategy, product enhancement recommendations, feature prioritization, and customer feedback integration.
•Collaborate with Mastercard product teams to incorporate AI capabilities into existing and new propositions.
•Develop reusable AI assets, accelerators, playbooks, and solution frameworks that can be deployed across multiple engagements.
Vendor Evaluation & Ecosystem Management
•Lead vendor identification, technology scouting, market assessments, and partner evaluations to support client transformation objectives.
•Conduct build-versus-buy analyses and recommend optimal technology stacks across LLMs, agentic AI platforms, orchestration tools, data platforms, and cloud ecosystems.
•Assess and compare AI vendors, hyperscalers, fintechs, technology providers, and startup partners based on business value, scalability, security, compliance, and implementation complexity.
AI Deployment & Transformation Delivery
•Oversee AI and GenAI implementation programs from pilot through enterprise deployment.
•Partner closely with engineering, product, data science, and client teams to ensure successful delivery and adoption.
•Drive agile delivery methodologies, iterative experimentation, and rapid value realization.
•Lead change management, business readiness, and adoption activities to maximize organizational impact.
•Establish governance models that address AI ethics, regulatory requirements, model risk management, and responsible AI principles.
Client Consulting & Business Development
•Serve as a trusted advisor to client executives and transformation leaders.
•Lead AI discovery workshops, executive briefings, ideation sessions, and strategic planning engagements.
•Support proposal development, solutioning, sales pursuits, and client presentations.
•Identify opportunities for expanding client relationships and developing new AI-focused consulting offerings.
Thought Leadership & Practice Development
•Build Mastercard's market presence through speaking engagements, industry forums, publications, and client events.
•Develop points of view on emerging technologies including GenAI, Agentic AI, Autonomous Operations, Responsible AI, and AI Governance.
•Mentor consultants, data scientists, and AI specialists across the region.
•Drive the evolution of Mastercard's AI consulting methodologies and delivery frameworks.
Preferred Qualifications & Experience
•Extensive experience in strategy consulting, digital transformation, AI consulting, data analytics, or technology advisory.
•Proven track record leading AI strategy, solutioning, deployment, and transformation programs.
•Experience advising senior executives and influencing enterprise-wide transformation decisions.
•Strong background in financial services, payments, banking, fintech, or card issuing ecosystems.
AI & Technology Expertise
•Demonstrated experience designing and deploying GenAI solutions from concept through production.
•Hands-on familiarity with LLM ecosystems including OpenAI, Claude, Gemini, DeepSeek, Llama, Mistral, and agentic AI frameworks.
•Understanding of AI product development, MLOps, AI governance, risk controls, and deployment architectures.
•Experience evaluating AI vendors, technology platforms, and enterprise solution providers.
Consulting & Leadership
•Strong strategic problem-solving and executive communication skills.
•Experience leading multidisciplinary teams across consulting, product, engineering, and analytics functions.
•Ability to translate complex technical concepts into clear business recommendations.
•Track record of developing client relationships, originating work, and contributing to business growth.
Education
•Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related discipline.
•Master's degree, MBA, or advanced technical qualification preferred.
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
Senior Managing Consultant - AI Consulting, Strategy, Deployment - Client Advisory at Mastercard rates 65 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
Pay
- Typical AI consultant job
- $151k
This posting doesn't list pay. Use the typical AI consultant figure when pay comes up. See AI consultant jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- How do you decide which parts of a product should use AI versus a fixed set of rules?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where ai strategy was part of your work. What did you do?
- Tell me about a project where client advisory was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, AI Product, AI Safety, AI Strategy, and Client Advisory. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new AI consultant jobs (Works on AI ●●●○ or higher) by email
One email a week with the new AI consultant jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step