Join a leading Technology & Transformation practice focused on unlocking data's potential. We leverage a global network to provide strategic guidance and implementation services, transforming data from disparate sources into actionable insights for fact-driven decision-making. Our expertise spans business intelligence, data management, performance management, and advanced analytics, including big data, cloud, cognitive, and machine learning technologies.

Lead Product Development (POD) teams in delivering AI-powered Quality Engineering (QE) services. Drive the design, automation, and optimization of AI-based testing strategies. Implement QE for AI practices, focusing on model validation and robust test data management. Track key performance indicators (KPIs), monitor productivity gains, and measure value realization. Support client engagements through effective reporting and communication. Contribute to the development of organizational assets and accelerators.

We are seeking an experienced professional with 9-12 years in Quality Engineering/Testing. A strong background in automation frameworks and AI-driven testing approaches is essential. Exposure to Generative AI (GenAI) tools and scripting, particularly Python, is highly preferred. Proven delivery management and team leadership skills are critical for success in this role. A Bachelor's degree in Computer Science, Information Technology, or a related field is required.