Vice President & Founding Technology Lead, AI Engineering & Consulting Platforms

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

Vice President & Founding Technology Lead, AI Engineering & Consulting Platforms

Overview:
At Mastercard, our industry expertise is enhanced by our commitment to being a force for good in the world. We do well by doing good. Our core values of trust, partnership, agility and thoughtful risk taking are displayed in everything we do. Our culture of collaboration and inclusion makes our company the place where the best people choose to be. Come join us!
Mastercard Services is transforming how we deliver value to clients, with Advisors & Transformation representing the next evolution of Mastercard’s consulting capabilities. It brings together deep industry expertise, differentiated data assets, and AI-enabled solutions to help clients navigate complexity and accelerate transformation. Mastercard is advancing how consulting is delivered, leveraging AI and agent-enabled capabilities to move from Insight to execution at scale.

The Role:
The Vice President & Founding Technology Lead, AI Engineering & Consulting Platforms will serve as the senior technology partner accelerating our consulting transformation through technology, partnering closely with business, product, AI, data, and engineering leaders to establish a unified technology for the future of Consulting. This leader will enable, scale, and manage AI productivity across the consulting organization, support AI commercialization in consulting engagements, and support an existing portfolio or technology partnerships.
The leader will help scale tooling such as Claude, Copilot, and Cowork; enable agent orchestration and integration layers; extend AI knowledgebase capabilities; establish finops/tokenops models; and distribute reusable AI best practices, skills, and agents across Consulting.
This is a highly collaborative role that will require close partnership with enterprise and services teams including enterprise AI, data governance, corporate security, compliance, sourcing, and Consulting business leaders. Success will require building shared capabilities into scalable, day-to-day productivity and commercialization solutions supporting thousands of advisors and consultants.

All about you:
We are seeking a dynamic and experienced technology leader who is passionate about AI, engineering, transformation, and scaled business impact.
• Demonstrated experience providing strategic technology leadership for large-scale, multi-year transformation initiatives.
• Experience executing a technology strategy for a market-facing business in close collaboration with Product, Data Science, business, and peer technology leaders.
• Strong understanding of GenAI, agentic workflows, AI enablement, orchestration patterns, reusable agent/skill libraries, and applied AI delivery in a scaled enterprise environment.
• Experience scaling productivity capabilities across a large team, including commercial AI and agentic platforms.
• Experience building, integrating, and scaling platforms or internal products that improve productivity, standardization, and delivery quality across large user populations.
• Proven ability to lead technical decision-making across architecture, build-vs-buy choices, cost efficiency, stakeholder priorities, and speed to market.
• Experience working across complex enterprise stakeholder environments, including AI, data, engineering, sourcing, compliance, platform, and business teams.
• Strong communication skills, written and verbal, with experience presenting to executive and cross-functional stakeholders.
• Proven track record leading high-performing teams, including director-level leaders, senior engineers, TPMs, and experienced individual contributors.
• Ability to operate as a senior technology leader: shaping vision, establishing operating models, creating accountability, and translating ambiguous transformation goals into executable engineering plans.
• Experience with data platforms, enterprise data tooling, cloud-based workspaces, cost management, usage governance, and scaled enablement practices is preferred.
• BS in engineering, computer science, or a related discipline.

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.