QE Governance Lead

The QE Governance Lead provides independent quality governance, risk assurance, and release oversight across the Technology Transformation portfolio. This role establishes and governs portfolio-wide QE standards, policies, quality gates, metrics, and controls to ensure consistent, auditable, and risk-managed delivery across all transformation programmes and technology domains.

• Own the Unified Master Test Strategy, quality engineering standards, policies, and governance frameworks.
• Establish quality gates, risk controls, and release governance across programmes and delivery portfolios.
• Ensure traceability, auditability, and compliance throughout the software delivery lifecycle.
• Provide independent quality assurance oversight across transformation and technology initiatives.
• Review and challenge programme test strategies, coverage models, quality risks, and readiness assessments.
• Lead quality health checks, assurance reviews, and governance forums.
• Support executive Go/No-Go decisions through risk-based quality reporting and assurance recommendations.
• Define portfolio-wide QE KPIs, dashboards, and reporting standards.
• Govern measures including defect leakage, test effectiveness, automation coverage, release confidence, and production quality.
• Deliver quality reporting and insights to senior stakeholders, programme leadership teams, and governance forums.
• Govern testing practices across functional, integration, end-to-end, data, AI, and non-functional testing disciplines.
• Ensure consistent defect management, root cause analysis, quality controls, and governance compliance.
• Maintain alignment across Agile, Product-led, Hybrid, and traditional delivery models.

• Own Quality Engineering strategy and governance across a diverse technology landscape, including:

  • Digital Customer Experience Platforms
  • Low-Code Development Platforms
  • Enterprise Business Applications
  • CRM and Business Process Platforms
  • Data & Analytics Solutions
  • Cloud-Based Platforms and Services
  • SQL and Data Management Technologies
  • AI and Intelligent Product Ecosystems
  • Business Intelligence and Reporting Platforms
  • API and Integration Platforms
  • Event-Driven Architectures
  • Machine Learning Solutions
  • Intelligent Workflow and Decisioning Platforms
• Partner with Programme Leads, Product Managers, Architects, Delivery Managers, and Quality Leadership teams.
• Govern supplier quality performance, testing obligations, and delivery assurance activities.
• Drive consistent adoption of Quality Engineering standards, governance frameworks, and best practices across programmes.
• Drive quality maturity, standardisation, and governance improvements across the portfolio.
• Establish reusable templates, frameworks, dashboards, and assurance artefacts.
• Promote automation-first, continuous testing, and AI-enabled quality practices.
• Support the development and growth of Quality Engineering Communities of Practice and Centres of Excellence.