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Expleo Group

Quality Engineering Practice Lead

Expleo Group

Quality Engineering Practice Lead advancing Expleo’s digital assurance and AI testing capabilities. Shaping practice strategy, client solutions, thought leadership, and AI assurance services.

Posted 8/25/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Quality Engineering, including modern test automation, performance testing, and AI governance. Capable of leading technical teams, developing strategies, and fostering innovation while maintaining strong client relationships.

Highest-signal resume keywords
Quality Engineering Strategy DevelopmentModern Test Automation ApproachesGenerative AI UnderstandingAgile, DevOps, CI/CD ExperienceClient-Facing Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quality EngineeringTest AutomationPerformance TestingAI/ML Model ValidationAI Governance FrameworksAgile MethodologiesDevOps PracticesCI/CD Delivery ModelsTechnical Standards DefinitionConsultancy Experience
Soft Skills
CoachingMentoringStakeholder ManagementInfluencing Without AuthorityCuriosity
Tools & Technologies
AI-Enabled Testing ToolsPerformance Engineering ToolsTesting FrameworksDigital Assurance PlatformsTechnical Accelerators
Certifications & Qualifications
ISO/IEC 42001 Certification
Industry Keywords
Digital AssuranceQuality Engineering PracticesEmerging TechnologyThought LeadershipClient Engagement

About the role

Key responsibilities & impact
  • Provide technical leadership and governance across modern Quality Engineering practices
  • Act as senior technical authority for complex client engagements and significant Quality Engineering challenges
  • Own and evolve the Quality Engineering capability strategy, roadmap and service portfolio
  • Maintain relevant standards, methodologies, reference architectures and reusable assets
  • Define viewpoints on emerging developments and identify capabilities for investment or market development
  • Establish communities that share expertise and innovation
  • Shape Quality Engineering opportunities through client conversations, discovery workshops, proposals and commercial solution design
  • Remain hands-on and partially billable where required through direct client engagement
  • Establish new Quality Engineering services and prove value in early-stage opportunities
  • Develop differentiated, outcome-led Quality Engineering propositions and support account growth
  • Advise clients, build trusted relationships and facilitate executive briefings, workshops and maturity assessments
  • Strengthen market presence through conferences, webinars, roundtables and thought-leadership content
  • Develop technical career paths, competency frameworks and future-skills programmes
  • Coach emerging leaders, develop subject matter experts and support talent attraction
  • Foster knowledge sharing, experimentation, continuous professional development, technical excellence, curiosity and innovation
  • Lead the approach to AI across Digital Assurance
  • Identify practical applications of generative AI, machine learning and agentic AI
  • Translate concepts into repeatable, commercially viable services and accelerators
  • Shape approaches for testing, validating and monitoring AI systems
  • Encourage disciplined experimentation that delivers measurable value

Requirements

What you’ll need
  • Significant experience within software Quality Engineering, testing or Digital Assurance
  • Strong technical understanding of modern test automation approaches, architectures and frameworks
  • Strong knowledge of performance testing and performance engineering
  • Experience with modern Agile, DevOps and CI/CD delivery models
  • Experience defining Quality Engineering strategies, frameworks or technical standards
  • Strong understanding of generative AI and related technologies in software engineering and Quality Engineering
  • Practical understanding of opportunities, limitations and risks of AI-enabled testing
  • Understanding of testing and assuring AI-based systems
  • Demonstrable curiosity about emerging technology and its practical application
  • Experience in consultancy, professional services, technology services or a similarly client-facing environment
  • Strong client-facing communication and stakeholder-management capability
  • Experience shaping solutions during pre-sales activities
  • Experience contributing to proposals, bids, presentations or commercial solutions
  • Ability to translate technical concepts into compelling business outcomes
  • Confidence engaging with senior technology and business stakeholders
  • Experience leading technical teams, capabilities, communities or practices
  • Strong coaching, mentoring and people-development skills
  • Ability to influence across organisational boundaries without relying solely on formal authority
  • Experience developing capability through others
  • Ability to establish a clear technical vision and bring people with them
  • AI Assurance, Responsible AI or AI governance
  • Agentic AI or autonomous software engineering approaches
  • AI/ML model validation and testing
  • AI governance frameworks such as ISO/IEC 42001 or regulatory frameworks including the EU AI Act
  • Building technical accelerators, frameworks, platforms or reusable intellectual property
  • Conference speaking, publishing or recognised industry thought leadership
  • Building or scaling an engineering or Quality Engineering practice

Benefits

Comp & perks
  • Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
  • Opportunities to expand skills and take part in inspiring projects
  • Expleo Academy accredited training courses
  • Competitive company benefits
  • Inclusive and accessible recruitment process
  • Interview offered to disabled people who meet the minimum criteria
  • Reasonable adjustments provided as required
  • Support for existing employees who acquire a disability or long-term health condition to stay in work
  • Equal opportunities for all suitably qualified applicants
  • Additional support and adjustments needed for everyone to thrive