Head of Quality Enablement

Overview

In this strategic Quality Engineering leadership role, you will define and drive IRIS’s QE vision across multiple divisions, shaping automation standards and an embedded, pod-based quality function. You’ll lead a transformation from manual testing to automation, balancing legacy estates with modern AI-assisted tooling. You’ll partner with senior leaders to mature QE practices, build a centralized yet specialized capability, and enable faster, higher-quality software delivery. This is a chance to shape quality as a strategic driver of growth and resilience.

Pay / Benefits

• Impact on millions globally
• Continuous learning and career development
• Belonging and inclusive culture

Responsibilities

• Own the global QE strategy across five Product & Engineering divisions and define the destination model
• Lead automation maturity assessment across estate, including legacy and on-prem portfolios
• Define Eng:QA ratio by pod archetype and divisional context
• Set standards for automated testing across unit, integration, contract, E2E and AI-generated tests
• Define and curate the End-to-End capability suite per product line and maintain ownership model
• Collaborate with Director of Agentic SDLC on QE elements of bootcamps, test generation workflows and upskilling paths
• Provide evidence to divisional VPs to support QE workforce transitions and role positioning
• Support a small specialist QE practice to carry standards and tackle hard testing problems
• Build and lead a central QE practice and a global QE community of ~170 QA professionals
• Define development pathways from manual testing to automation and specialist roles
• Partner with Engineering VPs to drive capability maturity across divisions
• Develop a QE career framework aligned with broader engineering frameworks
• Shape growth areas: performance, resilience, chaos engineering and observability-driven quality signals

Key requirements

• Experience leading QE at scale in a multi-product software organisation (B2B SaaS preferred)
• Track record of moving QE from manual to automation-dominant in real environments
• Deep knowledge of automated testing across stack (unit, integration, contract, E2E, performance) and AI-assisted testing
• Experience supporting and guiding specialist QE functions within a distributed engineering estate
• Exposure to performance, resilience or chaos engineering; SRE leadership is a plus
• Leadership style that prioritizes quality over headcount and clear, evidence-based communication
• Comfortable working with incomplete information and influencing senior stakeholders

• Strategic influencing
• Clear, evidence-based communication
• Trust-building with engineers, QAs and VPs
• Automated testing across stack (unit, integration, contract, E2E, performance)
• AI-assisted testing tools and methodologies
• Agentic SDLC tools and workflows

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