Enterprise QA Innovation Lead, AI-Driven Transformation

Client
Our client is a global organization focused on professional education and certification.

Position overview
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.

This position requires visiting an office in central Virginia once a month.
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.
Show more Show less