Senior Engineering Manager (.NET, AWS, AI

Requirements

• Extensive software engineering experience and solution design in .NET tech stack
• Hands‑on proficiency in AWS cloud, full stack, testing, Docker, Kubernetes, CI/CD, Dev Ops & security best practices
• Confidence using AI tools and experience driving adoption of AI tools in teams (e.g., Cursor, Git Hub Copilot, Codex)
• Strong delivery experience, working with cross functional and global engineering teams
• Proven team leadership and mentoring skills, leading high performing teams
• Experience with Agile methodologies, particularly Scrum (SAFE or LESS)

• We are looking for an experienced Senior Engineering Manager to join Experian's Global Cloud Foundation Platform Engineering team, developing unified platform solutions and new product prototypes
• This is a great opportunity for an experienced people leader with strong technical expertise to work with the teams to deliver .NET and cloud based solutions using AI tools
• Hands‑on technologist with strong AWS and Generative AI expertise (e.g., Cursor, Git Hub Copilot, Codex), championing an AI‑first approach to enhance productivity and accelerate the SDLC
• Accountable for UK&I product and software delivery, using metrics and KPIs to track performance, manage delivery health, and ensure cross‑business alignment
• Building, scale, and mentor high‑performing product engineering teams aligned to business strategy
• Embed and drive the adoption of AI tools in the team
• Drive Engineering Excellence by fostering a culture of continuous improvement, innovation, and accountability, while coaching teams to deliver high‑quality outcomes
• Identify complex technical and delivery challenges, define scalable solutions and solution designs, and work hands‑on with engineers to deep dive into code and technical components
• Act as senior escalation point for client delivery issues, removing blockers and embedding best practices in TDD, CI/CD, and automated testing
• Optimise cost and efficiency by reducing TCO through simplification, automation, and continuous service improvement, while proactively managing security, risk, and vulnerabilities
• Contribute to revenue growth and future strategy by delivering cost‑effective, high‑quality solutions, enabling rapid experimentation, and shaping the UK&I technology roadmap