Job Description

About the Role

We are looking for an experienced Quality Engineering Manager to lead a high-performing testing team responsible for delivering quality across Insurance products and digital platforms. The ideal candidate is a strong people leader with deep Insurance domain expertise, excellent stakeholder management skills, and a passion for driving quality transformation through automation and AI.

This role requires balancing delivery excellence, leadership, innovation, and customer engagement while building a culture of continuous improvement.

Key Responsibilities

Leadership & People Management

• Lead and mentor a team of Test Leads, Test Engineers.
• Build a high-performance culture focused on accountability, collaboration, and continuous learning.
• Coach team members through regular feedback, mentoring, and career development.
• Drive employee engagement, succession planning, and talent development.
• Manage resource planning, utilization, and capacity across multiple projects.

Test Delivery & Quality Management

• Own end-to-end testing delivery across multiple programs.
• Define and execute testing strategies for Functional, Integration, System, Regression, UAT, and Production Validation.
• Ensure delivery commitments are met with high quality and predictable timelines.
• Monitor quality KPIs and implement improvement initiatives.
• Drive defect prevention and root cause analysis.
• Establish risk-based testing practices.

Stakeholder Management

• Partner with Business, Product Owners, Development teams, and Customers.
• Present quality status, risks, and recommendations to senior leadership.
• Manage customer expectations and resolve delivery challenges.
• Facilitate governance meetings and quality reviews.

Insurance Domain Expertise

Strong understanding of Commercial or Personal Lines Insurance, including one or more of the following:

• Policy Administration
• Billing
• Claims
• Underwriting
• Rating
• Forms
• Renewals
• Endorsements
• Cancellations

Preferred experience with Guidewire, Duck Creek, Majesco, or other Policy Administration Systems.

AI & Innovation

Lead adoption of AI across Software Testing.

Expected knowledge includes:

• Generative AI applications in Testing
• AI-assisted Test Case Generation
• AI-assisted Test Data Generation
• AI-assisted Defect Analysis
• LLM fundamentals
• Prompt Engineering
• AI Agents
• MCP (Model Context Protocol)
• AI-powered SDLC tools

Ability to identify automation opportunities and implement AI-driven productivity improvements.

Required Skills

Leadership

• Strong people leadership
• Team motivation
• Conflict resolution
• Coaching and mentoring
• Decision making
• Ownership mindset

Delivery

• Test Strategy
• Test Planning
• Risk Management
• Release Management
• Metrics & Reporting
• Defect Management

Technical

• Automation framework understanding
• API Testing
• SQL
• Agile / Scrum
• AI fundamentals

Domain

• Property & Casualty Insurance
• Commercial Lines preferred
• Policy / Billing / Claims knowledge

Communication

• Excellent executive communication
• Customer communication
• Presentation skills
• Negotiation
• Stakeholder management

Preferred Qualifications

• Bachelor’s degree in engineering or computer science
• ISTQB certification (preferred)
• AI/GenAI certifications are an advantage
• Experience managing teams of 15–30+ members
• Experience working directly with global customers