IN_Manager_ QA Automation Lead _Data and Analytics_Advisory_Bangalore

• Lead all automation initiatives for the Analytics team. 

• Drive key automation KPIs: 

• 100% automation coverage 

• 100% execution rate with 100% pass rate 

• Reduce execution time to ≤3 hours 

• Achieve 80% code coverage via automation tests 

• Guide, mentor, and review test automation engineers to ensure adherence to best practices and coding standards. 

Implement AI agents for 

• Self-healing locators 

• Autonomous test execution 

• Intelligent retry and Recovery 

• Support multi-turn test scenarios and dynamic test flows 

• Experience using or integrating AI agents / self-healing mechanisms 

• Exposure to AI-driven testing tools 

Framework & Tooling Development 

• Design and build scalable, extensible test automation frameworks. 

• Support parameterized test case creation and multi‑environment test execution. 

• Research, evaluate, and recommend new tools and technologies to address testing challenges. 

• Develop and maintain scripts to support testing tasks. 

Execution & Reporting 

• Plan, coordinate, and manage all automated testing activities. 

• Develop, execute, and maintain test plans, scripts, and test cases. 

• Analyze test results, identify defects, and recommend corrective actions. 

• Maintain documentation of test execution and results. 

• Provide regular test status updates and manage stakeholder expectations. 

• Create and maintain traceability matrices to ensure comprehensive requirement coverage. 

Quality and Performance 

• Drive automated regression, performance, load, and scalability testing. 

• Ensure product quality across frontend, backend, data pipelines, and integrations. 

• Collaborate closely with development teams in Agile/Scrum environments. 

Required Technical Skills 

• 8+ years of QA experience testing Java/J2EE and web‑based applications. 

• Strong automation background with Selenium, TestNG, JUnit, and other open‑source tools. 

• Experience testing data pipelines using pytest or equivalent frameworks. 

• Understanding of PySpark and Databricks(optional). 

• Strong programming experience in Java or another OOP language. 

• Experience with performance testing (optional). 

• Proficiency with QA tools such as JIRA, test management systems, CI/CD systems. 

• Good understanding of HTTP, SSL, HTML, XML, CSS, JavaScript, SQL, and debugging techniques. 

• Experience in Agile/Scrum development environments. 

Other Required Skills 

• Bachelor’s or Master’s degree in Computer Science or equivalent. 

• Strong problem‑solving, analytical, and debugging skills. 

• Ability to understand new technologies quickly. 

• High attention to detail, reliability, and ownership mindset. 

• Ability to work independently and collaboratively across teams. 

• Strong communication skills—written and verbal. 

• Excellent organizational and time‑management abilities. 

• Ability to work in environments with limited standardization and evolving requirements.