AI-Enabled QA & Test Analyst | Hybrid & Risk‑Based

Cambridge University Press & Assessment (CUPA); Cambridge; Hybrid; GBP 51,000 - 69,000; Full time

Benefits offered by this job

28 days annual leave + bank holidays

Private medical insurance

Dental insurance

Discretionary annual bonus

Group personal pension

Life assurance up to 4x annual salary

Green travel schemes

Job summary

Cambridge University Press & Assessment in Cambridge is seeking a permanent, full-time QAT Analyst to embed QA strategy across delivery teams. The role sits in the Exam Assurance group within the Exam Technology Organisation, and supports AI-enabled testing, automation, shift-left approaches and continuous improvement.

You will work in a hybrid pattern with 40-60% office time, focusing on SIT/UAT/BAU testing, QA metrics, governance and collaboration with third-party suppliers.

Qualifications

• Strong experience delivering QA and testing activities within Agile delivery environments.
• Experience across functional and non-functional testing disciplines.
• Hands-on experience with test automation and modern testing tools.
• Understanding of CI/CD pipelines and continuous testing approaches.
• Experience of risk-based testing and test lifecycle management.
• Ability to analyse quality data and provide meaningful insights and recommendations.
• Strong stakeholder management and communication skills.
• Experience working across multiple teams and competing priorities.
• Experience with AI-enabled QA and testing tools.
• Experience implementing shift-left testing approaches.
• Knowledge of test data management solutions.
• Experience working with third-party suppliers and outsourced testing services.
• Experience within highly regulated or compliance-driven environments.
• Experience mentoring or coaching QA practitioners.

Responsibilities

• Embed QAT strategy, standards and tooling within delivery teams.
• Ensure consistent testing approaches across SIT, UAT and BAU activities.
• Drive adoption of risk-based, shift-left and modern QA practices.
• Support implementation of AI-enabled testing and test automation solutions.
• Identify opportunities to improve quality, increase test coverage and reduce manual effort.
• Define, monitor and report on QA metrics and KPIs.
• Provide insight into defects, quality trends, coverage gaps and delivery risks.
• Collaborate with third-party suppliers to ensure alignment to QA standards and ways of working.
• Support governance, audit and compliance activities, including adherence to regulatory requirements.
• Contribute to the development of the wider QAT community through mentoring, knowledge sharing and continuous improvement initiatives.

Skills

QA testing

Agile testing

Test automation

CI/CD

Risk-based testing

Data analysis

Stakeholder management

Cross-team collaboration

AI-enabled QA

Shift-left

Test data management

Third-party coordination

Regulatory/compliance

Mentoring QA

Tools

AI

CI/CD

Embedded

Support

Job description

Cambridge University Press & Assessment in Cambridge is seeking a permanent, full-time QAT Analyst to embed QA strategy across delivery teams. The role sits in the Exam Assurance group within the Exam Technology Organisation, and supports AI-enabled testing, automation, shift-left approaches and continuous improvement.

You will work in a hybrid pattern with 40-60% office time, focusing on SIT/UAT/BAU testing, QA metrics, governance and collaboration with third-party suppliers.