Job description

You will be responsible for:

• Leading the design and execution of test strategies across AI, data and digital services, ensuring alignment with organisational standards and delivery objectives.
• Designing and implementing testing approaches for AI systems, including model validation, data quality assurance and pipeline testing.
• Embedding quality practices such as TDD and BDD across delivery teams, ensuring early and continuous testing throughout the lifecycle.
• Developing and maintaining automated test frameworks and integrating testing into CI/CD pipelines.
• Identifying risks and issues from test results, providing clear insight and recommendations to stakeholders.
• Collaborating with engineers, data scientists and product teams to ensure quality is embedded from design through to deployment.
• Leading defect management processes, analysing trends and supporting continuous improvement in quality and testing practices.
• Championing new testing approaches and tools, including AI-driven testing and predictive analytics.
• Coaching and mentoring team members, contributing to capability development and knowledge sharing across the organisation.
• Ensuring compliance with accessibility, security and governance standards within testing practices.

We are looking for:

A technically strong and forward-thinking testing professional who can lead quality assurance for AI and data-driven systems. You will bring experience in modern testing practices, alongside an understanding of AI and data platforms.

You may come from a testing, QA, data or engineering background, but you will demonstrate:

• Extensive experience managing testing across complex systems, including AI and data platforms
• Strong knowledge of automated testing frameworks and tools within Microsoft-based environments
• Experience with programming or scripting languages (e.g. Python, Java, SQL or JavaScript)
• A solid understanding of CI/CD, DevOps and cloud-based testing integration
• The ability to analyse risks, manage defects and drive continuous improvement in quality

An ISTQB Advanced certification (or equivalent) is expected (or willingness to obtain). Experience working in agile delivery environments, and exposure to AI model validation or data pipeline testing, would be beneficial.

This is an opportunity to play a key role in ensuring that Ofgem’s AI and data-driven services are reliable, ethical and high quality. You will help embed robust assurance practices across the organisation, supporting innovation while maintaining trust and performance in critical systems.

Person specification

Essential Criteria

• Extensive expertise in managing quality across the AI solution development lifecycle in a Microsoft AI environment using testing platforms and tools, including Azure Test Plan, Co-pilot Studio, Co-pilot studio CLI and PowerShell tools, AI foundry and AI foundry Agent evaluation SDK (Lead Criteria)
• Proficiency in one or more coding languages (e.g. Python, Java, R, SQL, or JavaScript). (Lead Criteria)
• Strong understanding of AI CI/CD, DevOps and cloud-based test integration practices.

Holds or can obtain the following certifications or equivalent:

• ISTQB Certified (Advanced Level)

Desirable Criteria

• Experience working within agile delivery environments.

Behaviours

We'll assess you against these behaviours during the selection process:

• Making Effective Decisions
• Communicating and Influencing
• Delivering at Pace

Technical skills

We'll assess you against these technical skills during the selection process:

You will also be invited to complete a technical test. Full details will be included in the invitation to interview.