Responsibilities
- Hands-on technologist with strong AWS and Generative AI expertise (e.g., Cursor, GitHub 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.
Requirements
- Experienced Senior Engineering Manager
- Strong technical expertise
- People leader
- Strong AWS and Generative AI expertise (e.g., Cursor, GitHub Copilot, Codex)
- AI-first approach to enhance productivity and accelerate the SDLC
- Accountable for UK&I product and software delivery
- Building, scale, and mentor high-performing product engineering teams
- Drive Engineering Excellence with continuous improvement, innovation, and accountability
- Identify complex technical and delivery challenges and define scalable solutions
- Work hands-on with engineers to deep dive into code and technical components
- Act as senior escalation point for client delivery issues
- Embed best practices in TDD, CI/CD, and automated testing
- Optimise cost and efficiency by reducing TCO through simplification, automation, and continuous service improvement
- Proactively manage security, risk, and vulnerabilities
- Contribute to revenue growth and future strategy by delivering cost-effective, high-quality solutions
