At a Glance
- Tasks: Lead end-to-end testing for AI-driven projects and ensure quality delivery.
- Company: Dynamic investment management firm focused on innovative technology solutions.
- Benefits: Long-term contract, competitive pay, and flexible working in a modern office.
- Other info: Opportunity to work with cutting-edge technology and develop your career.
- Why this job: Shape the future of AI governance and testing in a fast-paced environment.
- Qualifications: Experience in test management and AI-related testing practices required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking an experienced Test Lead / Test Manager to lead end-to-end testing across a portfolio of technology and business change initiatives, with a strong focus on AI-enabled delivery. This role will be responsible for defining and driving testing strategy, governance, quality assurance, and delivery assurance across multiple projects in fast-paced environments. The successful candidate will bring a strong background in traditional and modern testing practices, combined with experience working in organisations where AI is being leveraged to deliver change. This individual will play a key role in helping shape the organisation’s approach to AI governance, testing controls, and risk management.
Key Responsibilities:
- Test Leadership & Delivery: Lead and manage end-to-end testing activities across multiple concurrent projects and programmes. Define and implement clear test plans, governance frameworks, delivery milestones, and reporting structures. Coordinate testing across functional, integration, regression, UAT, automation, and non-functional testing streams. Ensure testing activities are delivered on time, within scope, and aligned to business objectives. Drive continuous improvement across testing processes, standards, and delivery practices.
- AI-Enabled Test Strategy: Define and implement test strategies for AI-driven change initiatives. Establish testing approaches covering automation, AI model validation, data quality, model risk, bias monitoring, and governance controls. Develop clear success criteria and assurance measures for AI-enabled solutions. Ensure safe and responsible AI usage through appropriate controls, human oversight, and auditability. Work closely with technical and business teams to embed quality and governance into AI delivery lifecycles.
- Stakeholder Management: Act as the single point of accountability for testing delivery across assigned programmes/projects. Provide clear and concise status reporting, risk assessments, defect management updates, and recommendations to senior stakeholders. Build strong relationships with programme managers, delivery leads, developers, business analysts, and operational teams. Facilitate governance forums, test checkpoints, and quality assurance reviews.
- Quality Assurance & Risk Management: Apply pragmatic, risk-based testing approaches to ensure delivery quality while maintaining pace. Manage defect triage, prioritisation, escalation, and resolution processes effectively. Identify delivery risks early and implement mitigation strategies to protect business outcomes. Ensure appropriate testing evidence, controls, and governance documentation are maintained. Promote a quality-first culture across delivery teams.
Skills & Experience Required:
- Proven experience operating as a Test Lead or Test Manager within complex change and transformation environments.
- Strong experience delivering end-to-end testing across multiple projects/programmes simultaneously.
- Experience working in environments where AI is used to deliver business or technology change.
- Strong understanding of AI-related testing considerations including data quality, model validation, automation, governance, and risk management.
- Excellent stakeholder management and communication skills, with the ability to engage confidently at senior leadership level.
- Strong knowledge of test methodologies, defect management, governance, and quality assurance frameworks.
- Experience working within Agile, Waterfall, or hybrid delivery environments.
- Ability to work autonomously and lead testing functions in fast-paced delivery settings.
Desirable Experience:
- Experience establishing or contributing to AI governance frameworks.
- Knowledge of automation testing tools and modern QA practices.
- Exposure to regulated environments or risk-controlled industries.
- Relevant testing certifications (ISTQB, Agile Testing, etc.) desirable.
Personal Attributes:
- Strong leadership and decision-making capability.
- Pragmatic and solutions-focused approach.
- Excellent organisational and planning skills.
- Comfortable operating in evolving and ambiguous environments.
- Strong attention to detail with a focus on delivery quality and business outcomes.
Test Manager in London employer: Cooper Lomaz
Join a forward-thinking organisation that prioritises innovation and excellence in the financial sector. As a Test Manager, you will thrive in a dynamic work culture that values collaboration and continuous improvement, while benefiting from opportunities for professional growth in a state-of-the-art London office. With a strong focus on AI-driven initiatives, you'll play a pivotal role in shaping testing strategies that ensure quality and governance, making this an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Test Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those in investment management or AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with end-to-end testing and AI projects. This will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to test management and AI governance. The more comfortable you are, the better you’ll perform.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Test Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Test Manager role. Highlight your experience with AI testing and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI delivery and how your background makes you the perfect fit for this role. Let us know what excites you about working with us!
Showcase Your Leadership Skills:As a Test Manager, leadership is key. In your application, share examples of how you've successfully led testing teams and managed multiple projects. We love seeing candidates who can inspire and drive their teams forward!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Cooper Lomaz
✨Know Your Testing Strategies
Make sure you brush up on both traditional and modern testing practices. Be ready to discuss how you've implemented test strategies in previous roles, especially in AI-driven projects. This will show that you understand the nuances of testing in a fast-paced environment.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've effectively communicated with senior stakeholders and managed relationships across teams. Highlight your ability to provide clear status updates and risk assessments, as this is crucial for the Test Manager role.
✨Demonstrate Your Leadership Experience
Be ready to talk about your experience leading end-to-end testing activities. Share specific instances where you defined test plans and governance frameworks, and how you drove continuous improvement in testing processes. This will illustrate your capability to lead in complex environments.
✨Understand AI Governance and Risk Management
Familiarise yourself with AI-related testing considerations, such as model validation and bias monitoring. Be prepared to discuss how you've ensured safe and responsible AI usage in past projects, as this will be a key aspect of the role.
