Chief Technology Officer

Role Overview:

Our client is seeking an innovative and forward-thinking Chief Technology Officer (CTO) to lead its technology strategy, architecture, and execution. This role is ideal for a hands-on technologist with deep expertise in cloud platforms (primarily AWS), Databricks, machine learning, generative AI, and a strong track record of delivering scalable, AI-powered solutions.

The CTO will serve as a visionary and external-facing representative of the company’s technology direction, aligning leading-edge innovation with commercial goals in a dynamic and evolving market.

Key Responsibilities:

• Define and deliver the long-term technology strategy and roadmap, with a focus on AI-driven, cloud-native platforms.
  
  
• Architect scalable, secure, and high-performance solutions built on AWS and Databricks.
  
  
• Drive innovation in machine learning, generative AI, and data engineering, turning complex ideas into production-ready applications.
  
  
• Act as an external-facing technology leader, engaging with enterprise clients, partners, and stakeholders to present solutions and thought leadership.
  
  
• Lead and inspire cross-functional engineering teams, fostering a culture of technical excellence and agility.
  
  
• Champion the adoption of modern API paradigms, microservices, and container-based infrastructure.
  
  
• Remain at the forefront of emerging technologies, industry trends, and best practices across cloud, data, and AI.
  
  
• Collaborate with product, commercial, and data teams to align technology capabilities with business needs.
  
  
• Represent the organisation in technical forums, strategic partnerships, and industry events.
  
  Required Qualifications & Experience:
  
  
• 10+ years’ experience in a senior technology leadership role such as CTO, VP of Engineering, or Chief Architect.
  
  
• Proven hands-on expertise in AWS cloud services and Databricks, including Spark, Lakehouse architecture, and Delta Lake.
  
  
• Demonstrable experience designing and deploying machine learning and generative AI solutions at scale.
  
  
• Strong working knowledge of containerisation and orchestration tools such as Kubernetes and Docker.
  
  
• Deep understanding of API-first development, microservices architecture, and distributed systems.
  
  
• Solid software engineering background with strong coding and system design skills (e.g., Python, Scala, Java).
  
  
• Familiarity with Azure and other hyperscale platforms is an advantage.
  
  
• In-depth knowledge of data platforms, governance, and real-time analytics.
  
  
• Experience within the insurance industry or related data-driven domains is highly desirable.
  
  
• Excellent communication and stakeholder engagement skills, with the ability to operate confidently at both board and engineering levels