QA Lead (AI & Technology Projects)

OverviewRole Purpose: Responsible for defining, governing, and enforcing Quality Assurance practices across AI and technology projects to ensure delivery quality, compliance, and client confidence.Key ResponsibilitiesDefine, establish, and govern the end-to-end Quality Assurance strategy, standards, and testing framework.Lead and oversee testing activities covering:Functional and System testing for end-to-end business workflows.Integration testing between system components and services.API and backend testing using tools such as Swagger, Postman, and Rest Assured.Test automation using frameworks such as Robot Framework, SHAFT Engine, or Selenium.Performance testing using tools such as JMeter, Locust, Gatling, or k6Review, validate, and approve all QA deliverables and testing evidence prior to client submission.Lead QA team planning, task allocation, execution oversight, and reporting.Ensure full traceability between requirements, test cases, defects, and delivery outcomes.Collaborate closely with development, data, and AI teams throughout the delivery lifecycle.Drive continuous improvement of QA processes, efficiency, and quality metrics.RequirementsExtensive professional experience in Quality Assurance (9 years), including leadership responsibilities.Strong hands-on expertise in database testing, API testing, test automation, and performance testing.Practical exposure to AI-based systems is an advantage.Experience with enterprise in KSA-projects preferred.Experience working in Agile delivery environments.CertificationsISTQB CTFL (Mandatory)ISTQB CTFL-AT (Preferred)LanguageArabic (Native) & English (Fluent)#J-18808-Ljbffr