Sr Test Manager - Enterprise Testing COE
Axis Max Life Insurance
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Job summary
Axis Max Life Insurance is seeking a Quality Engineering Manager to lead enterprise-wide testing and quality initiatives across insurance applications and digital platforms. The role combines strong leadership with deep domain expertise to guide internal and outsourced teams in governance, automation, and AI-powered testing.
The candidate will drive KPI-driven quality practices, collaborate with stakeholders, and oversee vendor performance.
Qualifications
- Bachelor's degree in Engineering, Computer Science, IT, or related field.
- Masters degree preferred.
- 10+ years of experience in Software Testing and Quality Engineering.
- Minimum 4 years in a people leadership role.
- Proven experience managing teams through a blended delivery model.
- Significant experience in the Life Insurance or General Insurance domain.
Responsibilities
- Define and execute the Quality Engineering strategy aligned with business and technology objectives.
- Establish enterprise-wide testing standards, quality gates, and governance mechanisms.
- Drive a shift-left quality culture across development, business, and delivery teams.
- Develop and monitor KPI-driven quality management practices.
- Lead a team comprising permanent and outsourced resources; manage resource planning and workforce optimization.
- Define vendor performance metrics and SLAs; conduct regular governance reviews with partners.
- Lead testing across Policy Administration, New Business, Underwriting, Claims, Portals, CRM/Distribution and regulatory testing.
- Drive adoption of Agentic AI Testing solutions to improve productivity and release velocity.
- Implement AI-powered test data generation, autonomous regression testing, defect prediction.
- Define automation strategy across Web, APIs, Mobile, Microservices, Enterprise Applications; measure ROI.
Skills
Education
Tools
Job description
Gurugram/Noida
Digital Technology / Quality Engineering
Head of Automation & Quality Engineering
We are seeking a highly experienced and results-driven Quality Engineering Manager to lead enterprise-wide testing and quality engineering initiatives across Insurance applications and digital platforms. The role requires strong leadership capabilities to manage a blended workforce comprising internal team members and outsourced resources across multiple vendors.
The ideal candidate will possess deep expertise in the Insurance domain, modern Quality Engineering practices, Test Automation, AI-led Testing, and emerging Agentic Testing frameworks. The individual will be responsible for driving quality transformation, improving release confidence, optimizing testing costs, enhancing automation coverage, and implementing AI-powered testing strategies across the SDLC.
This role is a critical leadership position responsible for quality governance, stakeholder management, vendor performance, and continuous improvement of testing processes.
- Define and execute the Quality Engineering strategy aligned with business and technology objectives.
- Establish enterprise-wide testing standards, quality gates, and governance mechanisms.
- Drive a shift-left quality culture across development, business, and delivery teams.
- Develop and monitor KPI-driven quality management practices.
- Lead a team comprising with a mix of permanent and outsourced resources
- Manage resource planning, utilization tracking, and workforce optimization.
- Define vendor performance metrics and SLAs.
- Conduct regular governance reviews with partner organizations.
- Build high-performing teams through coaching, mentoring, and capability development.
- Lead testing efforts across:
- Policy Administration Systems
- New Business & Underwriting
- Claims Management
- Customer Portals
- Agent Platforms
- CRM and Distribution Systems
- Regulatory and Compliance Programs
- Ensure business process validation across end-to-end insurance journeys.
- Collaborate closely with business stakeholders to understand evolving requirements and regulatory needs.
- Drive adoption of Agentic AI Testing solutions to improve test productivity and release velocity.
- Implement AI-powered:
- Test case generation
- Requirement-to-test traceability
- Test data generation
- Autonomous regression testing
- Defect prediction
- Root cause analysis
- Risk-based testing
- Evaluate and introduce emerging GenAI and Agentic Testing platforms.
- Develop use cases for autonomous testing agents within CI/CD pipelines.
- Measure productivity and quality improvements delivered through AI-led testing initiatives.
- Define automation strategy across:
- Web applications
- APIs
- Mobile applications
- Microservices
- Enterprise Applications
- Increase automation coverage and reduce manual testing effort.
- Drive automation ROI tracking.
- Ensure integration of automation suites with DevOps pipelines.
- Own quality dashboards and executive reporting.
- Track and improve:
- Defect Leakage
- Defect Density
- Automation Coverage
- Test Effectiveness
- Release Readiness
- Production Stability
- MTTR Trends
- Present quality insights and recommendations to senior leadership.
- Partner with:
- Business Teams
- Product Owners
- Engineering Leaders
- Enterprise Architects
- Program Managers
- Vendor Partners
- Provide quality risk assessments for key releases and transformation initiatives.
- Influence decision-making through data-driven recommendations.
- Bachelors degree in Engineering, Computer Science, Information Technology, or related discipline.
- Masters degree preferred.
- 10+ years of experience in Software Testing and Quality Engineering.
- Minimum 4 years in a people leadership role.
- Proven experience managing teams through a blended delivery model.
- Significant experience in the Life Insurance or General Insurance domain.
- Life Insurance Operations
- Policy Administration Systems
- Claims Processing
- Underwriting
- CRM & Distribution Platforms
- Regulatory & Compliance Testing
- Test Strategy & Planning
- Functional Testing
- System Integration Testing
- User Acceptance Testing
- Regression Testing
- Performance Testing
- API Testing
- Test Data Management
- Agentic Testing Frameworks
- GenAI-enabled Test Automation
- Autonomous Testing Agents
- AI-assisted Defect Prediction
- Intelligent Test Design
- LLM-based Quality Engineering Practices
- Selenium
- Playwright
- Cypress
- Rest Assured
- Postman
- JMeter
- UiPath Test Suite
- Azure DevOps
- Jira
- GitHub
- CI/CD Tools
- Large Team Management
- Vendor Governance
- Stakeholder Management
- Budget & Resource Planning
- Transformation Leadership
- Executive Communication
The ideal candidate is a strategic quality leader who can balance operational excellence with innovation. They should possess a strong insurance background, the ability to manage large distributed teams and vendors, and hands-on experience leveraging Agentic AI and advanced automation techniques to transform Quality Engineering into a business enabler rather than a delivery checkpoint.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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