Technology Quality Assurance Lead - Insurance

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About the Company Our client is a well-established organization within the insurance industry, currently in the midst of a major push to modernize its technology and application landscape. To protect the confidentiality of this search, the company's name is withheld at this stage — full details will be shared with candidates who progress to interview. The organization is investing significantly in smarter, AI-driven ways of working, and this role sits right at the center of that shift, with a clear mandate to modernize how quality and testing are done across the business. Job Responsibilities Own the overall quality strategy across projects, enhancements, releases, and production fixes, deciding what "ready to ship" looks like and keeping delivery teams accountable to it. Champion the shift toward AI-powered testing, bringing in AI and machine-learning-based tools to speed up test creation, improve accuracy, and reduce reliance on manual effort across functional, regression, and API testing. Build out reusable test assets, automation standards, and continuous testing practices that the wider team can rely on. Work closely with product owners, business subject matter experts, engineering teams, and vendors to ensure requirements are testable and quality expectations are clear from the outset. Focus testing efforts on core insurance processes such as policy administration, claims, underwriting, billing, renewals, endorsements, and customer servicing. Ensure testing practices align with regulatory, audit, and risk expectations relevant to the insurance industry. Partner with DevOps and engineering teams to embed automated testing into CI/CD pipelines where feasible. Track and report on quality indicators, including defect leakage, test coverage, cycle time, automation coverage, and overall release readiness. Mentor and guide testers and automation specialists, including those from vendor or outsourced teams. Requirements 8+ years in quality assurance or testing, with genuine leadership experience on delivery or transformation programs, including 2+ years of leading a team directly. Strong grounding in testing within an insurance context — ideally across policy, claims, billing, underwriting, or customer servicing systems. A degree in Computer Science, Information Systems, Engineering, or a related field. Hands-on experience designing test strategies and building automation, using tools such as Playwright, TestNG, Cypress, Katalon, JUnit, Selenium, UFT, Appium, or similar platforms. Exposure to AI-enabled testing concepts, such as defect prediction and analytics, self-healing automation, or intelligent test case generation. Proven ability to manage stakeholders and resolve issues across multiple teams, vendors, and workstreams, backed by strong communication skills. Certifications in testing or QA are an advantage — tool-specific automation certifications, Agile testing credentials, or AI/data/automation-related certifications will help a candidate stand out. If you believe you have the right skills, attitude and experience please click 'apply now' below and upload your resume. Alternatively, for a confidential chat, please contact Kevin Ng by applying directly to email [email] or reach out at [phone] . We apologies that only shortlisted candidates will be contacted.

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