Senior Managing Consultant - AI Consulting

Title and Summary Senior Managing Consultant - AI Consulting, Strategy, Deployment - Client Advisory Regional Lead, AI Consulting, Strategy, Deployment - Client Advisory Position 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. 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. 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.