The UAT Test Manager is a pivotal role responsible for leading the User Acceptance Testing phase of projects, ensuring that solutions are validated against business requirements, deliver real-world value, and are fully ready for production deployment. This role bridges business stakeholders, technology teams, and end-users to drive quality outcomes in an increasingly AI-augmented delivery landscape.
Key Responsibilities:
Strategic Planning & Coordination
Design and execute the end-to-end UAT strategy, plan, and schedule aligned with project milestones.
Coordinate cross-functionally with business users, project managers, development teams, and AI/automation specialists to ensure seamless UAT execution.
Leverage AI-powered test management tools to optimise planning, resource allocation, and scheduling.
Test Case Design & Development
Partner with business analysts and end-users to define comprehensive test scenarios that reflect real-world usage, business rules, and edge cases.
Incorporate AI-driven test case generation and prioritisation techniques to enhance coverage and efficiency.
Ensure test cases account for AI/ML-enabled features, validating model outputs, decision logic, and user interactions with intelligent systems.
Test Execution & Monitoring
Oversee and govern UAT execution, ensuring test cases are completed accurately, efficiently, and within agreed timelines.
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Utilise AI-based analytics and dashboards to monitor progress, identify bottlenecks, and predict potential delays.
Track defects rigorously and drive timely resolution through structured triage and escalation processes.
Stakeholder Communication & Reporting
Serve as the primary point of contact for all UAT-related communications across business and technology stakeholders.
Deliver clear, data-driven status updates, risk summaries, and outcome reports using automated reporting tools.
Translate complex testing outcomes into actionable insights for leadership decision-making.
Quality Assurance & Validation
Ensure the delivered product meets agreed-upon quality standards, business requirements, and regulatory expectations.
Validate all functionalities—including AI-powered features—perform as intended in production-like environments.
Champion a quality-first mindset, embedding continuous improvement into the UAT lifecycle.
Risk Management
Proactively identify, assess, and mitigate risks within the UAT phase, including risks associated with AI model behaviour, data quality, and automation dependencies.
Develop contingency plans and escalation paths to safeguard delivery timelines and quality outcomes.
Documentation & Sign-Off
Prepare comprehensive UAT reports, including test results, defect logs, traceability matrices, and formal sign-off documentation.
Maintain an auditable record of testing activities to support compliance and governance requirements.
Leadership & Team Development
Lead, mentor, and manage the UAT team, fostering a collaborative and high-performance culture.
Provide guidance, coaching, and training—including upskilling team members on AI-assisted testing tools and methodologies.
Drive adoption of modern testing practices, including intelligent automation and AI-augmented quality assurance.
What You Bring:
IT Collaboration Experience – Multi-year experience working within or closely alongside IT departments in complex enterprise environments.
Stakeholder & Vendor Management – Proven track record in managing IT stakeholders, third-party vendors, and Finance UAT processes.
Agile & Scrum Expertise – Hands-on experience working within Agile Scrum frameworks, with an understanding of iterative delivery and sprint-based testing cycles.
Transformation & Change Management – Demonstrable experience in large-scale transformation programmes, including formal change management training and execution.
Communication & Relationship Skills – Excellent interpersonal, communication, and relationship management skills with the ability to influence at all levels.
AI & Automation Readiness – Familiarity with AI-powered testing tools, intelligent automation platforms, or a strong willingness to adopt and champion emerging technologies in the testing domain.
Analytical Mindset – Ability to interpret data, identify patterns, and make evidence-based decisions to improve testing outcomes.
Desirable (AI-Forward Skills):
Experience with AI/ML-enabled products or platforms.
Exposure to tools such as AI-based test automation, predictive analytics, or intelligent defect triaging.
Understanding of responsible AI principles and how they apply to testing and validation.
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.
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