Jobs / Ireland / Mastercard International Incorporated
Manager, Software Engineering
Mastercard International Incorporated · 🌍 Dublin, Ireland
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- Can’t check pay against the visa rulesNo salary stated. Ireland Critical Skills Employment Permit needs at least €40,904 a year (General Employment Permit: €36,605). Source: https://enterprise.gov.ie/en/what-we-do/workplace-and-skills/employment-permits/permit-types/critical-skills-employment-permit/, rules effective 2026-03-01.
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Sponsor Radar — Mastercard International Incorporated
No government sponsor record covers this employer in this country.
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About the role
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 Manager, Software Engineering Mastercard's Decision Management Platform transforms billions of transactional events into trusted data products, analytics, and decision intelligence that power fraud prevention, identity solutions, operational insights, and business growth. We are seeking a Manager, Software Engineering to lead a team responsible for building scalable data products and analytics capabilities that enable real-time and batch decision-making across Mastercard. This leader will drive engineering excellence, develop talent, and ensure data is delivered through the right access patterns and fit-for-purpose solutions that maximize value for consumers. The ideal candidate combines strong people leadership with a passion for data platforms, modern engineering practices, and partnering with business and technology stakeholders to solve complex problems at enterprise scale. WHAT YOU'LL DO Lead and Develop High-Performing Teams * Build, coach, and mentor a team of software and data engineers. * Foster a culture of accountability, collaboration, innovation, and continuous improvement. * Support career growth through regular coaching, feedback, and development planning. Build and Scale Data Products * Lead the design, delivery, and lifecycle management of data products supporting analytics, AI/ML, reporting, and operational decisioning. * Partner with stakeholders to understand business needs and translate them into scalable, reusable, and trusted data solutions. * Drive a product mindset focused on data quality, usability, ownership, and measurable business outcomes. Enable Fit-for-Purpose Data Consumption * Ensure appropriate data access patterns are defined and implemented, including real-time streaming, APIs, self-service analytics, curated datasets, and batch processing. * Guide teams in delivering solutions optimized for scalability, performance, reliability, and long-term sustainability. * Enable consumers to access trusted data efficiently while maintaining governance and platform standards. Deliver Strategic Platform Initiatives * Lead delivery of large-scale data engineering, analytics, and platform modernization initiatives. * Partner across Product, Architecture, Data Science, and Engineering teams to align technical execution with business priorities. * Drive planning, prioritization, risk management, and successful delivery of roadmap commitments. Champion Operational Excellence * Ensure platform reliability, resiliency, security, and compliance. * Lead continuous improvement efforts through automation, observability, and operational best practices. * Drive measurable improvements in platform health, data quality, and engineering productivity. QUALIFICATIONS: Required * Experience leading software engineering, data engineering, or platform engineering teams. * Strong background building scalable distributed systems, data platforms, or cloud-native solutions. * Experience delivering complex initiatives in Agile environments. * Proven ability to influence stakeholders and drive outcomes across multiple teams. * Strong communication, leadership, and organizational skills. Preferred * Experience with data product development, analytics platforms, or decision intelligence solutions. * Exper