Overview
We are looking for an Enterprise QA Innovation Lead who will drive AI enabled transformation across enterprise QA engagements and elevate quality engineering to a strategic, innovation focused discipline. Project Overview: This project focuses on modernizing enterprise level QA through AI driven frameworks, predictive quality insights, and automation strategies. The initiative brings innovation to complex integrated environments, moving QA toward a strategic, value driven function while improving efficiency and delivery accuracy.
- Lead the design and implementation of AI driven QA frameworks that optimize test coverage, detect anomalies, and generate predictive quality insights
- Drive process innovation across enterprise QA engagements, identifying opportunities to reduce manual effort, accelerate delivery, and standardize QA practices
- Collaborate with enterprise clients, internal QA teams, and engineering teams to integrate modern QA methodologies into the SDLC, including shift left, continuous testing, and CI/CD pipelines
- Develop and deploy advanced automation strategies, leveraging AI assisted test generation and intelligent regression testing for ERP, ecommerce, and cloud native applications
- Define metrics and analytics frameworks to monitor QA efficiency, automation ROI, defect trends, and predictive quality indicators
- Evaluate and introduce emerging QA technologies, AI driven tools, and best practices for enterprise software quality
- Act as a strategic innovation partner to enterprise clients, shaping QA approaches for complex environments and delivering measurable business value
- Lead QA modernization initiatives across enterprise accounts, focusing on process efficiency, automation, and predictive QA adoption
- 8 years of QA experience, including hands on experience with automation frameworks, AI driven testing, and large scale enterprise systems
- Demonstrated ability to implement AI assisted QA tools, predictive QA, and continuous testing strategies
- Background in optimizing QA processes for ERP, ecommerce, and cloud native applications
- Strong analytical and problem solving skills with experience defining QA metrics and predictive insights
- Experience collaborating with enterprise clients and internal teams to implement innovative QA solutions
- Strong communication skills with the ability to convey technical innovation and strategic QA improvements to stakeholders
- Experience with AI testing tools such as Playwright MCP, Cursor, or similar
- Background in QA digital transformation initiatives
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