Quality Engineering Leader

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Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.

We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.

Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at  .

Acuity is seeking an experienced and strategic Quality Engineering Leader to establish, lead, and govern enterprise-wide testing capabilities across major business transformation initiatives. This role is accountable for defining Acuity's testing strategy, quality governance framework, standards, tooling, ownership and execution oversight to ensure successful delivery of complex programs spanning Oracle ERP, data migrations, integrations, reporting platforms, security controls, and interconnected business applications.

As a senior leader, this role will be responsible for testing and quality assurance across all phases of transformation delivery, providing executive visibility into quality risks, readiness assessments, and Go/No-Go recommendations. This role combines strategic leadership, drives enterprise-wide adoption of best practices, governance, operational execution oversight, and innovation through AI-enabled testing practices.

• Define and lead Acuity’s enterprise testing strategy, governance framework, operating model, standards and quality metrics across major transformation programmes.
• Establish a risk-based, automation-first approach that balances manual, automated and AI-assisted testing based on business criticality, complexity and delivery risk.
• Set clear quality ownership, assurance controls, decision criteria and quality gates across business, technology, programme and vendor teams.
• Ensure end-to-end quality coverage across Oracle ERP, enterprise applications, data migration, integrations, reporting, security controls and third-party interfaces.

• Develop the enterprise test automation and AI strategy, including tooling, architecture, governance, reusable frameworks, skills and adoption.
• Lead the selection and governance of test management, automation, defect tracking, performance testing, test data and quality reporting platforms.
• Embed scalable API, integration, UI, data, regression, security and continuous testing within CI/CD pipelines.
• Drive the responsible use of AI-assisted testing, with appropriate human oversight, security, privacy, traceability and quality controls.

• Govern the integrated testing lifecycle across CRP, SIT, end-to-end testing, UAT, regression, cutover, performance, security, hypercare and production validation.
• Define test scope, entry and exit criteria, acceptance thresholds, traceability requirements and readiness measures for each testing phase.
• Lead quality reviews, defect governance and formal readiness assessments, providing objective Go/No-Go recommendations to executive leadership.
• Monit…