Director, Quality Engineering
Starr InsuranceNew York, New York, United States • Philadelphia, Pennsylvania, United States • Atlanta, Georgia, United States
Posted May 5, 2026
Full Time
About the Company
Starr Insurance is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world. Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents. Starr has the global knowledge, vision and relationships to help your company succeed, anywhere you do business.
Job Description
Join Starr, a global leader in commercial insurance, as a Director, Quality Engineering. You'll lead the execution of Quality Engineering (QE) methodologies, manage QE teams, and drive quality across all technology initiatives. Starr empowers its employees to innovate and build lasting client relationships worldwide.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred)
- 10+ years' experience in software quality engineering or QA, with at least 5+ years in management roles leading distributed teams
- Experience with hands-on QE within P&C Insurance industry is required
- Strong expertise in building, scaling, and overseeing QE operations—including automation frameworks, SDLC integration, and test management
- Hands-on experience with leading QE tools (e.g., Selenium, Cypress, Tosca, LoadRunner, Postman), CI/CD, cloud-based platforms, and test environments
- Proven track record driving automation adoption and measurable improvements in quality KPIs
- Excellent people leadership, team building, and stakeholder engagement skills
- Deep understanding of industry standards for security, compliance, and data privacy as they relate to QE
- Experience managing teams in a global delivery model
- Knowledge of data quality assurance, cloud migration, and digital transformation initiatives
