QA Lead
Posted Today by Zealogics
Negotiable
Undetermined
Remote
Remote
Summary: The QA Lead will spearhead enterprise-scale Quality Assurance initiatives across complex technology programs, focusing on transformation, cloud, SAP, data, and digital platforms. This role demands a delivery lead with expertise in QA strategy, automation transformation, and stakeholder management, aiming to enhance speed, reliability, and cost efficiency while maintaining high-quality standards. The candidate will leverage modern QA practices, including automation and AI-assisted testing, to drive improvements in quality engineering.
Key Responsibilities:
- Define and execute a modern QA vision aligned with the firm's digital and AI strategy.
- Develop and implement comprehensive enterprise QA strategies aligned with KPMG's quality standards, risk posture, and regulatory compliance.
- Lead QA delivery and oversight across multiple programs, applications, and environments.
- Establish entry/exit criteria, test governance, defect standards, and go-live readiness processes.
- Foster a "quality-first" culture focused on accountability, continuous improvement, and innovation.
- Drive the adoption of GenAI in QA, including automated test case generation, LLM-as-Judge for validation, and intelligent defect triaging.
- Champion AI-assisted testing and GenAI capabilities (e.g., Gemini, Enterprise AI, Copilot) across the QA lifecycle.
- Implement scalable automation frameworks for UI, API, data, and integration testing.
- Drive "automation-first" and "shift-left" testing strategies enterprise-wide to improve early defect detection.
- Measure and report on automation ROI, productivity improvements, and effort reduction.
Key Skills:
- Proven experience in QA strategy and automation transformation.
- Strong stakeholder management skills.
- Expertise in quality engineering principles.
- Experience with AI-assisted testing and automation frameworks.
- Ability to foster a quality-first culture.
- Knowledge of regulatory compliance and risk management.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role Summary
The ideal candidate will lead enterprise-scale Quality Assurance initiatives across complex technology programs, including large transformation, cloud, SAP, data, and digital platforms. This role requires a strong delivery lead with proven experience in QA strategy, automation transformation, and stakeholder management. The candidate should bring a modern QA mindset, leveraging automation, AI-assisted testing, shift-left practices, and quality engineering principles to improve speed, reliability, and cost efficiency while upholding KPMG s high-quality standards.
Key Responsibilities
- QA Strategy & Transformation:
- Define and execute a modern QA vision aligned with the firm's digital and AI strategy.
- Develop and implement comprehensive enterprise QA strategies aligned with KPMG's quality standards, risk posture, and regulatory compliance.
- Lead QA delivery and oversight across multiple programs, applications, and environments.
- Establish entry/exit criteria, test governance, defect standards, and go-live readiness processes.
- Foster a "quality-first" culture focused on accountability, continuous improvement, and innovation.
- Automation, AI & Modern QA Transformation:
- Drive the adoption of GenAI in QA, including automated test case generation, LLM-as-Judge for validation, and intelligent defect triaging.
- Champion AI-assisted testing and GenAI capabilities (e.g., Gemini, Enterprise AI, Copilot) across the QA lifecycle.
- Implement scalable automation frameworks for UI, API, data, and integration testing.
- Drive "automation-first" and "shift-left" testing strategies enterprise-wide to improve early defect detection.
- Measure and report on automation ROI, productivity improvements, and effort reduction.