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QE Delivery Manager - AI & Automation
Job in
Seattle, King County, Washington, 98113, USA
Listed on 2026-03-01
Listing for:
Capgemini Holding Inc
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
IT Project Manager, Systems Analyst
Job Description & How to Apply Below
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
About the job you're considering
We are seeking an experienced Quality Engineering (QE) Delivery Manager to lead AI-enabled quality engineering initiatives across large-scale enterprise programs. This role combines strong test delivery leadership with modern quality transformation, program governance, and executive stakeholder management. The ideal candidate brings deep expertise in Quality Engineering delivery, Testing Center of Excellence (CoE) leadership, and AI-driven testing practices, along with the ability to manage complex programs and influence senior stakeholders.
Your role
* Lead end-to-end Quality Engineering delivery across multiple enterprise programs, ensuring predictable outcomes, high quality, and on-time releases.
* Drive AI-enabled quality engineering initiatives, including intelligent test automation, test optimization, analytics-driven quality insights, and continuous improvement.
* Manage large, distributed QE teams (30-50 members), with effective onshore-offshore coordination, capacity planning, and delivery governance.
* Establish and lead quality transformation and QE CoE initiatives, embedding automation-first and AI-assisted testing practices across the organization.
* Define and implement QE strategy, test planning, and execution frameworks aligned with Agile, Dev Ops, and CI/CD delivery models.
* Partner with product, engineering, and business leaders, and engage with CxO-level stakeholders for quality reporting, release readiness, and strategic updates.
* Promote innovation, operational excellence, and strategic thinking across the Quality Engineering organization while managing delivery risks and dependencies.
Your skills and experience
* 10+ years of experience in Quality Engineering, Testing, or Software Engineering, with significant responsibility for delivery and program leadership.
* Proven experience as a QE/Test Manager leading programs with 10+ testers, and managing large-scale, multi-team engagements.
* Strong expertise in Quality Engineering delivery management and leading or contributing to Testing Centers of Excellence (CoEs) in Retail domain.
* Hands-on knowledge of modern testing approaches, including functional, regression, performance, and non-functional testing, with an automation-first mindset.
* Experience incorporating AI and intelligent automation into testing strategies (e.g., test optimization, defect prediction, analytics-driven quality metrics).
* Deep familiarity with Agile, Scrum, Dev Ops, and CI/CD pipelines, including quality governance across release cycles.
* Excellent program management and stakeholder engagement skills, with demonstrated experience presenting to and influencing senior and CxO-level leaders; hands-on experience with test automation and defect management tools (e.g., JIRA, HP ALM, Test Rail), with SAP testing experience considered a strong advantage.
The base compensation range for this role in the posted location is $101,300 - $250,640.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay…
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