Management Consultant jobs in United States

Senior Managing Consultant, Advisors & Consulting Services - AI Strategy (Financial Services)

Location: Dubai, United Arab Emirates

Type: Full time

Posted on: Yesterday

Application Deadline: August 21, 2025 (25 days left)

Job Requisition ID: R-254637

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.

Senior Managing Consultant, Advisors & Consulting Services - AI Strategy (Financial Services)

Overview

Reporting to the Principal and working closely with the Mastercard AI team, the Senior Managing Consultant, AI Strategy will lead AI-driven consulting engagements for clients—especially card issuers and other financial services organizations. You will lead multidisciplinary teams of data scientists, ML engineers, and business strategists to develop long-term strategies to build and implement AI solutions that transform client approaches to analytics, automation, and value creation.

Responsibilities include:

1. Shape and deliver AI strategies that address complex business challenges for payments-centric companies.
2. Advance the firm’s AI capabilities through thought leadership, external outreach, and development of new service offerings.
3. Mentor and grow junior colleagues, fostering a collaborative team culture around innovative AI methodologies.

Develop AI-Driven Strategies for Business Impact

• Identify high-impact AI and analytics opportunities within client organizations, especially in card issuing and payments.
• Quantify the full value potential of AI solutions, including value levers, dependencies, and feasibility to maximize ROI.
• Design end-to-end AI solutions combining data engineering, solution design, and domain expertise.
• Secure alignment with executive stakeholders, translating AI visions into actionable plans with clear metrics.
• Scale successful AI initiatives across multiple use cases, addressing technical and organizational hurdles.

Lead Rapid, Iterative AI Delivery

• Oversee project roadmaps with AI and ML engineering leaders, ensuring iterative development and stakeholder updates.
• Collaborate with business leaders to gather feedback and adjust scopes for maximum value.
• Balance technical feasibility with strategic payoff, avoiding unnecessary complexity.
• Support client teams with change management and AI expertise to ensure adoption and value realization.

Expand Thought Leadership & External Network

• Publish and present on cutting-edge AI methods and industry insights.
• Build a network of AI experts, industry leaders, and academic partners.
• Advise on AI ethics, governance, and regulatory considerations in financial services.
• Participate in forums, client discussions, and industry events to enhance reputation and generate new business.

Innovate & Scale the AI Operating Model

• Develop new delivery frameworks to enhance AI project speed and consistency.
• Create reusable assets like templates and playbooks.
• Mentor junior colleagues and foster a forward-thinking AI community.
• Ensure cross-functional collaboration among data science, engineering, and business teams.

• 8+ years leading data-driven strategies with measurable outcomes, preferably in financial services, payments, or card issuing.
• Hands-on experience with GenAI, deploying use cases with open source LLM models (e.g., Deepseek, Liama).
• Proven thought leadership through publications, speaking engagements, or innovative AI solutions.
• Excellent presentation skills, capable of translating complex AI concepts for non-technical audiences.
• Familiarity with agile methodologies and modern project management practices.
• Deep understanding of the payments ecosystem and operational challenges in financial services.
• Experience managing teams and mentoring talent.
• Bachelor’s degree in computer science, engineering, or related fields; Master’s preferred.

All activities involving Mastercard assets, information, and networks carry inherent risks. Employees must:

• Abide by security policies and practices.
• Maintain confidentiality and integrity of accessed information.
• Report security violations or breaches.
• Complete mandatory security training.

Everyone wants easier ways to pay; we invent them.

Checkout lines are slow; we speed them along.

Merchants want more sales; we give them data and insights.

People need financial access; we connect them.

Corporate purchasing is complicated; we make it simple.

Commuters are busy; we speed them on their way.

We help create them.

Small businesses are virtual; we give them access to a world of buyers.