• Strong experience leading large engineering organisations delivering enterprise SaaS products, or transforming legacy on premise or hosted products into SaaS models
  
• Proven leadership background managing engineering managers and multiple cross functional teams
  
• You will have progressed through a Software Developer career path - while this isn't a hands on role, having an incredibly strong technical understanding and knowledge of a range of technologies is very important
  
• Strong ability to build, develop and scale technical organisations of 30 people or more
  
• Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices
  
• Experience of large scale platform migrations, customer transitions and maintaining service continuity
  
• Background working with blended QA teams and embedding quality engineering practices
  
• Understanding of SRE principles, Infrastructure as Code and cloud operations in product driven environments
  
• Excellent ability to drive collaboration across engineering, product, security, professional services and customer facing teams
  
• Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift
  

• Lead and develop engineering managers and technical leads, embedding a culture of quality, innovation and customer focus
  
• Shape talent strategy, build high performing teams and create clear progression frameworks across engineering
  
• Oversee outsourced QA partnership, define quality metrics, integrate QA within agile workflows and drive continuous improvement in automation and quality engineering
  
• Lead the evolution of cloud operations into a product aligned SRE function, embedding Infrastructure as Code, reliability principles and operational excellence
  
• Partner closely with product, CTO and wider business teams to ensure delivery aligns with strategic priorities
  
• Collaborate with sales, customer experience, professional services and implementation teams to support customer transitions
  
• Embed security by design in collaboration with information security and compliance teams
  
• Provide architectural direction for SaaS migration, cloud native evolution, microservices, API design and AI engineering methodologies
  
• Guide the introduction of AI capabilities across the product suite and ensure responsible AI practices, governance and sector aligned compliance
  
• Drive platform modernisation, customer migration tooling, integration frameworks and data integrity for large scale transitions
  
• Maintain engineering standards covering code quality, documentation, testing, CI/CD, observability and security
  
• Establish metrics driven engineering practices and lead initiatives to reduce lead time, improve deployment frequency and optimise reliability
  
• Ensure compliance with ISO27001, GDPR, PCI DSS and sector specific requirements
  

• Deliver the engineering enablement plan across SaaS and AI objectives
  
• Oversee the technical and operational direction of the SaaS transformation
  
• Ensure smooth, reliable customer migrations with no service disruption
  
• Strengthen organisational capability through structured hiring and development
  
• Embed AI engineering maturity, infrastructure and best practice
  
• Drive improvements in deployment cadence, reliability and operational excellence
  

• Leadership of a high impact engineering function during a major technology transformation
  
• The opportunity to shape the future of a complex product suite used at scale
  
• Collaborative, people focused working culture with strong professional development pathways
  

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