Test Lead

Fuelled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are integral to innovation at scale. You will work with technologists and business specialists, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a champion for change and growth, you will be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

• Lead the test activities to ensure product quality, setting project timelines and supervising the activities of other testers.
• Drive the identification of the test scope and test environment set-up, prepare test plans, identify relevant metrics and keep track of required effort.
• Manage the execution of tests, review reports and interpret recommendations for product or design changes.
• Define and implement comprehensive test strategies, standards, and risk-based coverage.
• Define and implement automation strategies across functional and AI testing domains, ensuring scalability and maintainability.
• Evaluate and adopt cutting-edge automation tools and technologies, including AI-assisted test generation and validation
• Drive automation coverage goals, balancing risk-based testing with efficiency improvements to reduce manual effort.
• Architect and maintain reusable automation frameworks for both traditional and AI-driven applications, integrated with CI/CD pipelines.
• Define and implement automation strategies across functional and AI testing domains, ensuring scalability and maintainability.
• Design, develop, and maintain standard and ad-hoc reports tailored to business needs. Implement automated reporting processes to reduce manual effort and improve timeliness.
• Drive defect triage, prioritization, and release readiness decisions.
• Develop relationships with other engineering groups to evaluate, recommend and implement testing procedures for products, systems, components or modifications.
• Implement AI testing strategies including DeepEval for model evaluation, ensuring robustness and reliability of outputs.
• Design and execute test plans for RAG (Retrieval-Augmented Generation) frameworks, validating retrieval and generation accuracy.
• Develop agentic validation workflows for multi-agent systems, focusing on reasoning accuracy and orchestration.
• Conduct bias, fairness, and ethical compliance testing for AI models.
• Build reusable automation frameworks for AI testing integrated with CI/CD pipelines.
• Lead and mentor a cross-functional testing team, fostering collaboration across AI, data engineering, and product development groups.
• Define strategic testing roadmaps for AI-driven products and manage stakeholder communication on quality metrics and risks.

• Broad understanding of testing lifecycle and agile frameworks.
• Specialized knowledge of Quality Management techniques.
• Strong leadership and team management skills with experience in guiding diverse teams.
• Broad understanding of AI testing

• Bachelor's degree in Computer Science, Engineering, IT, or related field and 12+ years of relevant work experience.
• Should be able to implement automation strategy and guide the team.
• Leverage AI for predictive analytics, intelligent test case generation, and defect detection.
• Proficiency in testing concepts/standards & Agile methodology.
• Good understanding of Automation Testing concepts and ability to implement automation/performance strategy.
• Other Strengths required are # Customer centricity, Innovative Thinking, Agility and Intercultural Sensitivity
• Hands-on experience authoring, building and adopting large-scale automation frameworks across UI, functional, API and back-end integration.
• Experience in Selenium with Java / Python - scripting/coding level.
• Excellent analytical and problem-solving skills.
• Experience and knowledge of Azure DevOps or any relevant defect management tool and CI/CD.
• Self-starter, with flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change.
• Excellent written and verbal communication skills.
• Ability to understand and integrate with cultural differences and engage with virtual cross-cultural, cross-border teams.
• Experience in supporting small to medium size projects and the relevant Performance indicators and metrics.