At a Glance
- Tasks: Lead and modernise Quality Engineering for a major insurance digital transformation.
- Company: Top-tier insurance organisation with a focus on innovation.
- Benefits: Up to £650 per day, hybrid working, and long-term contract potential.
- Other info: Opportunity to lead a high-profile project with strong career growth.
- Why this job: Drive AI-powered testing solutions and influence strategy in a dynamic environment.
- Qualifications: 10+ years in Quality Engineering and proven insurance experience required.
The predicted salary is between 50000 - 65000 £ per year.
A leading insurance organisation is seeking an experienced Technical Test Manager to lead and modernise Quality Engineering capabilities across a major digital transformation programme spanning web, mobile, API, and Guidewire platforms. This is a high-profile leadership role for a hands-on Technical Test Manager with strong automation, DevOps, and AI-driven testing expertise.
You will act as the technical authority for testing, driving automation-first practices, improving quality governance, and implementing innovative AI-enabled testing solutions across multiple Agile delivery teams. Proven Insurance industry experience is essential.
The Role
- Define and deliver the testing strategy across a complex technology landscape, leading the evolution of QA processes, frameworks, tooling, and governance.
- Work closely with Engineering, Architecture, Product, DevOps, and Delivery teams to improve quality, accelerate automation adoption, enhance release confidence, and drive AI-powered testing innovation.
Key Responsibilities
- Quality Engineering Test Strategy
- Define and implement a modern Quality Engineering strategy across digital, mobile, API, and Guidewire platforms.
- Drive automation-first testing across Agile delivery teams.
- Establish testing standards, governance, and best practices.
- Act as the senior technical authority for testing and quality assurance.
- Test Automation
- Own and evolve enterprise automation frameworks using Java, Selenium, and BDD.
- Improve automation coverage, reliability, maintainability, and execution performance.
- Resolve fragmented ownership of automation assets.
- Drive standardisation and continuous improvement across testing practices.
- Mobile Testing
- Lead mobile testing strategy across iOS and Android platforms.
- Oversee Appium-based automation frameworks.
- Improve cross-platform testing capabilities and device management.
- Evaluate and implement modern mobile testing tools and device farm solutions.
- CI/CD DevOps
- Improve stability and performance of automated test pipelines.
- Resolve issues relating to parallel execution, environment mismatches, and pipeline failures.
- Work with DevOps teams to optimise Azure DevOps pipelines and quality gates.
- Embed quality throughout the software delivery lifecycle.
- Release Assurance Governance
- Govern testing from sprint delivery through to production release.
- Implement risk-based regression testing strategies.
- Establish meaningful quality metrics, reporting, and dashboards.
- Drive accountability for quality across multiple delivery streams.
- AI-Driven Testing Innovation
- Lead adoption of AI-powered testing solutions across the organisation.
- Implement AI-driven test generation, defect analysis, self-healing automation, and test optimisation.
- Champion Microsoft Copilot and emerging AI technologies within Quality Engineering.
- Deliver measurable improvements through AI-enabled testing initiatives.
- Leadership Stakeholder Management
- Manage and mentor Test Leads and Quality Engineering teams.
- Strengthen capability across onshore and offshore teams.
- Partner with business and technology stakeholders to drive quality outcomes.
- Escalate and resolve systemic testing and quality challenges.
Essential Skills Experience
- Technical Expertise
- Strong hands-on experience with Java, Selenium WebDriver, BDD frameworks (Cucumber or equivalent), Appium, and API Testing.
- Extensive experience designing and implementing test automation frameworks.
- Strong understanding of Quality Engineering principles and automation strategy.
- DevOps CI/CD
- Experience with Azure DevOps, Jenkins, GitHub Actions, or similar.
- Expertise in automated testing pipelines and release engineering.
- Strong understanding of parallel execution, environment management, and quality gates.
- AI Automation (Essential)
- Proven experience implementing AI-driven testing solutions within enterprise environments.
- Experience using AI tools for test generation, optimisation, defect analysis, or automation enhancement.
- Experience with Microsoft Copilot, GitHub Copilot, or similar AI-powered QA tools.
- Demonstrable track record of driving AI adoption within Quality Engineering teams.
- Insurance Experience (Essential)
- Proven experience working within the Insurance sector.
- Experience delivering testing and QA within large-scale insurance transformation programmes.
- Strong understanding of regulated environments and insurance business processes.
- Highly Desirable
- Guidewire PolicyCenter, BillingCenter, and/or ClaimCenter experience.
- Experience supporting large-scale Guidewire implementations.
- Background in General Insurance, Commercial Insurance, or Personal Lines.
Candidate Profile
- 10+ years' experience in Quality Engineering, Test Automation, or Software Testing.
- Experience as a Technical Test Manager, QA Manager, Head of Testing, or Senior Test Lead.
- Strong leadership experience across distributed onshore/offshore teams.
- Excellent stakeholder management and communication skills.
- Hands-on, proactive approach with strong problem-solving ability.
- Experience delivering QA transformation and modernisation programmes.
What's on Offer?
- Up to £650 per day Inside IR35.
- London-based hybrid working.
- Major insurance transformation programme.
- Opportunity to lead AI-driven Quality Engineering innovation.
- Long-term contract with strong extension potential.
- Influence testing strategy across a large-scale enterprise environment.
Please note: Proven Insurance experience and demonstrable delivery of AI-driven testing solutions are mandatory requirements for this role.