Senior Vice President, Software Engineering

About the role

Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview Decision Stream is Mastercard's next-generation, AI-native decisioning platform designed to deliver intelligent, real-time decisioning across payments, fraud, authentication, and adjacent risk domains. The platform is being built as a startup-style venture within Mastercard, combining the speed and innovation of a product startup with the scale, security, and reach of an enterprise platform. We are seeking an Engineering Co-Founder to lead the engineering vision, architecture execution, talent strategy, and platform delivery for Decision Stream. This leader will partner closely with Product, Architecture, AI, Platform, and Foundry teams to build an industry-leading, cloud-native decisioning platform that redefines how decisions are made across Mastercard's ecosystem.

Responsibilities

• Engineering Leadership & Strategy:

  Establish and execute the engineering vision for Decision Stream. Drive engineering priorities, technical investment decisions, and platform evolution. Create a high-performance culture built on ownership, innovation, accountability, and speed. Partner with executive leadership to define long-term technology strategy and roadmap.

• Platform & Architecture:

  Lead the development of a cloud-native, AI-native decisioning platform capable of operating at Mastercard scale. Drive architectural decisions across streaming, orchestration, rules execution, AI inference, observability, resiliency, and platform services. Ensure platform reliability, scalability, security, and operational excellence. Balance rapid experimentation with enterprise-grade engineering discipline.

• Talent & Organization:

  Build and scale world-class engineering teams across platform engineering, AI, distributed systems, and product development. Develop a lean operating model built around empowered cross-functional pods.

• Product & Business Partnership:

  Partner closely with the Product Co-Founder to align engineering investments with customer outcomes and business objectives. Work collaboratively across Product, Architecture, Foundry, Operations, and AI teams as one integrated leadership team. Drive a culture where engineering teams own outcomes.

• Execution & Delivery:

  Lead the platform through MVP validation, commercialization readiness, and scaled adoption. Establish engineering metrics, governance, and operating rhythms. Drive rapid iteration cycles focused on learning, experimentation, and measurable outcomes. Remove organizational barriers and accelerate decision making across teams. Create an environment where innovation and accountability coexist.

Qualifications

• Leadership Expectations:

  Operate as an entrepreneur