Head of Data & AI Architecture

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow.  Ready to take your career global?   Make your mark at one of the biggest names in payments.  We’re looking for a leader who can build a unified, trusted, and governed data foundation to create reusable, domain-driven data products that power analytics, AI, and merchant-centric solutions. The Head of Data & AI Architecture owns the architecture that makes this real. Reporting to the Head of Data Strategy within the Office of the Chief Data Officer, this leader translates our Data & AI strategy and the broader business strategy into concrete, target-state designs.  What our data platforms, data products, models, and (Gen)AI solutions should be, and how they fit together will be part of this leaders mandate. Partnering with the enterprise architecture function, this role goes deep in the data and AI domains defining the reference architecture, solution blueprints, and design standards that engineering and delivery teams build against, and grounding every decision in security, governance, and measurable business outcomes. This leader will champion a platform centric approach to Data & AI, establishing reusable architectural patterns, self-service capabilities, and Data & AI Platforms as a Service that enable business domains to rapidly create, discover, govern, and consume trusted data products, analytics assets, and AI solutions.   What you’ll own     Own and evolve the target-state Data & AI architecture, translating strategy into scalable solutions aligned to business and technology priorities. Define reference architectures, standards, and reusable design patterns across data platforms, analytics, ML, GenAI, and agentic AI. Architect the enterprise data product model, including domains, MDM, semantic layers, and governed reusable data assets to enable a build-once, reuse-everywhere approach. Design end-to-end AI ecosystems spanning feature stores, model development, MLOps/LLMOps, RAG, and agentic frameworks at enterprise scale. Establish integration patterns that connect source systems, data products, analytics, and AI into a unified, governed architecture. Embed security, privacy, responsible AI, and regulatory requirements into architecture by design. Partner closely with Enterprise Architecture to align Data & AI capabilities with enterprise standards and target architecture principles. Provide hands-on architectural leadership to engineering and platform teams, guiding solution design and key technical decisions. Lead platform and technology strategy, driving build, buy, and partner decisions with clear business and technical rationale. Establish architecture governance through standards, design reviews, and decision frameworks that enable speed, consistency, and resilience. Drive modernization and simplification by defining cloud-native, AI-ready architectures and eliminating duplication across the technology landscape. Build and mentor a high-performing architecture team while serving as a trusted advisor to Data & AI and enterprise technology leadership. Build, lead, and develop a high-performing team of Data & AI architects, fostering a culture of innovation, accountability, continuous learning, and engineering excellence. Coach, mentor, and develop architects and technical leaders, creating clear career paths and succession plans for critical architecture capabilities. Serve as an influential communicator and change agent,