Enterprise QA Innovation Lead, Enterprise Quality Transformation
About the Position
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.
About the Project
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.
About the Team
You will collaborate with enterprise QA specialists, automation engineers, architects, and client stakeholders. The team works in a cross functional environment with a strong focus on continuous improvement, knowledge sharing, and modern QA practices.
Responsibilities
- 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
Requirements
- 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
Nice to Have
- Experience with AI testing tools such as Playwright MCP, Cursor, or similar
- Background in QA digital transformation initiatives
Technologies
AI assisted testing tools, automation frameworks, ERP systems, ecommerce platforms, cloud native applications, CI/CD pipelines, predictive analytics, modern QA toolsets
