Enterprise QA Innovation Lead, AI-Driven Transformation
About the Position
The Enterprise QA Innovation Lead is responsible for driving innovation and transformation across enterprise QA engagements. This role focuses on AI-driven QA, process optimization, automation strategies, and predictive quality intelligence for large-scale enterprise clients. The focus is on elevating QA from execution to a strategic, innovation-led function, improving efficiency, accelerating delivery, and reducing risk across complex integrated systems. The estimated salary range for this position is from 120,000 to 150,000 USD per year.
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, e-commerce, 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.
- Proven experience optimizing QA processes for ERP, e-commerce, 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.
- Excellent communication skills, able to convey technical innovation and strategic QA improvements to stakeholders.
Nice to Have
- Experience with AI testing tools such as Playwright MCP, Cursor, or equivalent.
- Proven track record in QA digital transformation initiatives.
