Quality Engineering Practice Lead

• 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

• 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

Core Competencies

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 Development




• Modern Test Automation Approaches




• Generative AI Understanding




• Agile, DevOps, CI/CD Experience




• Client‑Facing Communication

ATS Optimization Keywords

Hard Skills

• Quality Engineering




• Test Automation




• Performance Testing




• AI/ML Model Validation




• AI Governance Frameworks




• Agile Methodologies




• DevOps Practices




• CI/CD Delivery Models




• Technical Standards Definition




• Consultancy Experience

Soft Skills

• Coaching




• Mentoring




• Stakeholder Management




• Influencing Without Authority




• Curiosity

Certifications & Qualifications

• ISO/IEC 42001 Certification

Industry Keywords

• Digital Assurance




• Quality Engineering Practices




• Emerging Technology




• Thought Leadership




• Client Engagement

Tools & Technologies

• AI-Enabled Testing Tools




• Performance Engineering Tools




• Testing Frameworks




• Digital Assurance Platforms




• Technical Accelerators