Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com Reporting to the SVP, Software Engineering you will: Architecture Leadership Guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset Define roadmaps across mobile and web with emphasis on scalability, maintainability, and rapid experimentation Champion modern patterns including micro frontends, server-driven UI (SDUI), BFF, and serverless systems Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams Integrate AI into every layer of architecture to support thoughtful, agentic system design. Platform and Technical Leadership Lead technical design across consumer products and internal platforms Shape cohesive end-to-end architecture spanning APIs, services, and frontends Guide strategic areas such as identity, content delivery, personalization, and A/B testing Support agent-based automation and apply MCP to enable scalable AI workflows Ensure, security, observability, and operational excellence across systems Collaboration and Influence Be a technical partner across product, data, cybersecurity, and platform teams Mentor engineers and architects across domains Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows Advance system-level thinking and reusability through shared scaffolds and frameworks Innovation and Organizational Impact Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms Promote agent-based design, prompt abstraction, and developer enablement across teams Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.