Vice President, Software Engineering – Decision Management Program

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, Software Engineering – Decision Management Program Join Mastercard’s Services Technology organization as an engineering leader for the Decision Management Program (DMP)—a patented, real-time decisioning platform that powers fraud prevention, risk scoring, and identity verification across the global payments network. The platform processes billions of transactions each month, consistently delivering results in milliseconds to support mission critical business solutions. In this role, you will guide the strategy, architecture, and delivery of new capabilities for a platform at the core of Mastercard’s fraud and identity products. You will lead global engineering teams, drive modernization across cloud and on prem environments, and advance a highly scalable architecture leveraging In-Memory data grids and real time processing technologies. This is a unique opportunity to shape the future of Mastercard’s decisioning ecosystem—advancing innovative, high‑performance solutions and driving engineering and operational excellence across a critical real‑time platform Responsibilities: • Define and drive the engineering vision and In-Memory data grid strategy for the Decision Management Platform. • Lead and grow global engineering teams across multiple regions, ensuring alignment, collaboration, and delivery excellence. • Partner with Product, Architecture, Security, and Operations to shape platform direction and execution priorities. • Oversee the design and development of high throughput, low latency, Java-based distributed systems that power fraud prevention and identity solutions. • Lead modernization across cloud and on prem environments, ensuring scalability, resiliency, and world class performance. • Champion engineering and operational excellence, including reliability, observability, performance tuning, and incident management. • Improve system uptime, latency, throughput, and deployment efficiency through data driven KPIs. • Recruit, develop, and retain top engineering talent while fostering a culture of innovation, accountability, and execution. • Provide coaching and mentorship to senior engineers, architects, and team leads. • Implement enhanced engineering processes, SDLC best practices, governance models, and quality standards. • Manage delivery timelines, resource planning, and budgets across multiple complex programs. Qualifications: Technical Expertise • Strong hands-on background in Java, enterprise programming, and distributed systems architecture. • Prior experience as an Architect or Technical Lead for large-scale, real-time enterprise platforms. • Deep expertise in high volume, low latency transaction processing systems. • Advanced experience with In Memory Data Grid (IMDG) technologies, including: o VMware GemFire / Apache Geode o Hazelcast o Redis • Strong data engineering and data architecture skills, including real time pipelines, event streaming, telemetry, and stateful data systems. • Experience working across cloud, on prem, and hybrid environments with modern DevOps tooling. • Background leading architecture for global, distributed, mission critical platforms. Leadership Capabilities • Demonstrated success leading global engineering organizations across multiple time zones. • Ability to drive both engineering excellence (architecture, quality, design) and operational excellence (SRE practices, scaling, performance). • Skilled in setting strategic direction, building r ... (truncated, view full listing at source)