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About the Role
The Quality Engineering Practice Lead is a senior leadership role responsible for the technical direction, growth, and evolution of the Quality Engineering capability across BFSI, Energy & Utilities, and Diversified Industries. This role provides leadership across technical Digital Assurance services, including Test Automation, Performance Testing, AI Assurance, and the application of AI to transform Software Testing and Quality Engineering. It requires developing a practice, shaping new capabilities, challenging established ways of working, and defining the future of modern Quality Engineering with genuine enthusiasm for the field and technology.
Responsibilities
- Provide technical leadership and governance across modern Quality Engineering practices, ensuring effective application within client solutions.
- Act as a senior technical authority for complex client engagements and provide guidance for significant Quality Engineering challenges.
- Own and continually evolve the Quality Engineering capability strategy, roadmap, and service portfolio.
- Define clear points of view on emerging developments and identify new capabilities for investment or market development.
- Establish communities that share expertise and innovation.
- Work closely with sales leaders and client partners to identify, qualify, and shape Quality Engineering opportunities.
- Provide technical credibility throughout senior client conversations, discovery workshops, proposal development, and commercial solution design.
- Remain hands-on where required and be partially billable, using direct client engagement to establish new Quality Engineering services, prove value in early-stage opportunities, and support growth across existing accounts.
- Develop differentiated propositions that move client engagements beyond resource augmentation towards outcome-led Quality Engineering services and broader account growth.
- Act as a recognized senior Quality Engineering advisor to clients, building trusted relationships with technology, engineering, and quality leaders.
- Facilitate executive briefings, workshops, and maturity assessments.
- Strengthen the organization’s market presence through conferences, webinars, roundtables, and thought-leadership content.
- Establish a credible internal and external voice in modern Quality Engineering and AI Assurance.
- Provide visible and inspirational leadership to Quality Engineering consultants.
- Develop clear technical career paths, competency frameworks, and future skills programs to support practice growth.
- Coach emerging leaders, recognize and develop subject matter experts, and support the attraction of high-calibre talent.
- Foster a culture where knowledge sharing, experimentation, continuous professional development, technical excellence, curiosity, and innovation are actively valued.
- Lead the development of the approach to AI across Digital Assurance by identifying practical opportunities to use generative AI, machine learning, and agentic AI to improve productivity, coverage, insight, and quality outcomes.
- Translate promising concepts into repeatable and commercially viable services and accelerators.
- Shape effective approaches for testing, validating, and monitoring AI systems.
- Encourage disciplined experimentation across the practice so that innovation delivers measurable value and prepares the capability for future market developments.
Requirements
- 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 of Quality Engineering within modern Agile, DevOps, and CI/CD delivery models.
- Experience defining Quality Engineering strategies, frameworks, or technical standards.
- Strong understanding of how generative AI and related technologies can be applied within software engineering and Quality Engineering.
- Practical understanding of the opportunities, limitations, and risks associated with AI-enabled testing.
- Understanding of the challenges involved in testing and assuring AI-based systems.
- Demonstrable curiosity about emerging technology and its practical application.
- Experience operating in a consultancy, professional services, technology services, or 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 organizational boundaries without relying solely on formal authority.
- Experience developing capability through others.
- Ability to establish a clear technical vision and bring people with them.
Skills
- AI Assurance
- Responsible AI
- AI governance
- Agentic AI
- Autonomous software engineering approaches
- AI/ML model validation and testing
- AI governance frameworks (e.g., ISO/IEC 42001)
- Regulatory frameworks (e.g., EU AI Act)
- Building technical accelerators, frameworks, platforms, or reusable intellectual property
- Conference speaking
- Publishing
- Recognized industry thought leadership
- Building or scaling an engineering or Quality Engineering practice
- Modern test automation approaches, architectures, and frameworks
- Performance testing
- Performance engineering
- Agile delivery models
- DevOps delivery models
- CI/CD delivery models
- Generative AI application in software engineering
- AI-enabled testing
- Testing and assuring AI-based systems
- Client-facing communication
- Stakeholder management
- Pre-sales solution shaping
- Proposal development
- Commercial solution design
- Technical concept translation to business outcomes
- Senior stakeholder engagement
- Team leadership
- Capability leadership
- Community leadership
- Practice leadership
- Coaching
- Mentoring
- People development
- Influencing across organizational boundaries
- Developing capability through others
- Establishing technical vision
Experience Level
- Senior leadership role
Benefits
- Collaborative working environment
- Empowerment to expand skills and take part in inspiring projects
- Expleo Academy for accredited training courses
- Competitive company benefits
- Supportive culture that encourages big thinking and challenging the status quo
About the Company
- We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
- We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Equal Opportunity
- As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible, Communicating and promoting vacancies, Offering an interview to disabled people who meet the minimum criteria for the job, Anticipating and providing reasonable adjustments as required, Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people.