Chief Technology Officer

London

8 months ago

Applications closed

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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

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