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Enterprise QA Innovation Lead, AI-Driven Transformation

  • Londres
Equipo grande (más de 20 personas)

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Client

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

Te invitamos a la empresa, no a un proyecto

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.

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.
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