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
We apologies that only shortlisted candidates will be contacted.
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.
- 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
- 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.
- Chinese/Mandarin writing and communication highly preferred — bilingual ability will be a strong advantage.
We apologies that only shortlisted candidates will be contacted.
Job ID 1a526c84-dbd2-4379-97d1-789f536dcdb2
With offices in China, Hong Kong, Singapore, Japan, and USA, Captar Partners is a world class recruitment service provider across multi-disciplinary w...
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