
VP, GenAI Quality Engineering & Assurance
- Charlotte, NC
- Permanent
- Full-time
- Lead and scale a high-performing, globally distributed QA organization with a focus on innovation, quality-first development, and continuous improvement.
- Define and execute a modern QA strategy incorporating automation, performance, security testing, and GenAI-enabled testing practices.
- Champion the adoption of test automation frameworks and continuous testing across agile and DevOps environments, including CI/CD pipelines.
- Embed quality engineering into the software development lifecycle in collaboration with Product, Engineering, and DevOps teams.
- Support strategic programs including SCUP, Claims, Japan Transformation, Data Engineering, and myAIG, ensuring quality assurance at every phase.
- Drive GenAI-based transformation initiatives to modernize QA processes, enhance test data generation, and enable intelligent automation.
- Manage large-scale QA programs across multiple scrum teams, focusing on end-to-end functional, non-functional, and regression testing.
- Utilize data-driven decision-making through quality metrics, KPIs, and dashboards to monitor performance and drive improvements.
- Engage with key business and technology stakeholders to align QA practices with strategic objectives and regulatory requirements.
- Stay abreast of emerging trends in AI/ML, test engineering, and cloud-native testing tools to continuously enhance QE&A capabilities.
- Ensure compliance with global regulatory standards and contribute to audit and risk management processes.
- Deep knowledge of U.S. Property and Casualty insurance products, forms, regulatory landscapes, and risk frameworks.
- Good knowledge of GenAI Architecture, LLMs
- Exposure to various insurance lines such as Financial Lines, Property, Casualty, Specialty, Cyber, and Multinational Clients.
- 12+ years of experience in Information Technology with 8+ years in Quality Engineering & Assurance, including leadership of global QA programs.
- Bachelor’s / master’s degree in computer science or related field
- Strong proficiency in QA tools and frameworks: Rally, ALM, Selenium, Jenkins, Git, Eclipse IDE, JIRA, BDD with Cucumber, and data testing platforms.
- Proficiency in GenAI Architecture, LLMs
- Hands-on experience with CI/CD pipelines and DevOps tools such as Jenkins, Stash, and Git.
- Demonstrated expertise in Solution Architecture (Test Solutions), Continuous Testing, Non-Functional Testing, and Agile QA frameworks.
- Proven ability to build financial models, executive dashboards, PowerPoint presentations, and manage performance metrics.
- Strong influencing and stakeholder management skills, with experience navigating complex global organizations.
- Advanced knowledge in Systems Development Life Cycle (SDLC), Quality Governance, Risk Management, Vendor Management, and Compliance.
- Vision for the future of QA powered by Generative AI — from intelligent test creation to automated defect triage.
- Passion for modernizing legacy QA practices and creating scalable, reusable frameworks using cutting-edge tools.
- Ability to lead transformational QA initiatives across complex ecosystems with a focus on efficiency, innovation, and measurable outcomes.