Testing Transformation Lead - QA

Key Responsibilities

• Define and execute the Testing Transformation roadmap aligned with organisational quality and engineering goals
• Establish target state Quality Engineering operating models and maturity frameworks
• Lead largescale transformation programmes across Agile DevOps and Product Engineering teams
• Drive adoption of industry leading testing methodologies tools and best practices
• Create executive dashboards KPIs and transformation success measures
• Develop enterprise automation strategy covering UI API Data and Performance testing
• Drive shift left and shift right testing practices
• Promote risk based and intelligent testing approaches
• Define test automation and AI enabled testing adoption plans
• Improve test coverage execution efficiency and release confidence
• AI Innovation
• Identify and prioritize GenAI use cases in Quality Engineering
• Drive AI assisted test design test script generation defect prediction and test optimization initiatives
• Evaluate emerging technologies and establish innovation roadmaps
• Measure transformation value realization and productivity gains
• Test Data Environment Transformation
• Establish enterprise Test Data Management strategy
• Improve test data quality masking provisioning and self-service capabilities
• Drive Test Environment Management improvements to increase availability and reliability
• Implement automation and governance for environment provisioning and monitoring
• Governance Metrics
• Define enterprise-wide quality metrics and transformation KPIs
• Establish measurement frameworks for Automation Coverage Defect Leakage Release Quality Cycle Time Reduction Productivity Improvement AI Adoption and Productivity Gains
• Stakeholder Management
• Partner with CIOs Engineering Leaders Product Owners Architecture teams and Vendors
• Present transformation progress and outcomes to executive leadership
• Manage strategic relationships with testing tool and technology partners

Required Skills

• Experience Functional Skills: Quality Engineering Transformation Test Automation Strategy Agile SAFe Methodologies DevOps CICD Test Management Enterprise QA Governance Metrics Analytics Digital Transformation Programmes
• Technical Skills: Playwright Selenium Cypress Appium API Testing Postman Rest Assured Performance Testing JMeter LoadRunner NeoLoad Test Management Tools JIRA QMetry Zephyr Azure DevOps Test Data Management Solutions CICD Platforms Azure DevOps GitHub Actions Jenkins Power BI Advanced Reporting
• AIGenAI Testing Solutions

Preferred Experience

• 15 years in Quality Engineering and Testing
• 5 years leading enterprise testing transformation programmes
• Experience managing global delivery models
• Experience transforming traditional testing organisations into Quality Engineering practices
• Experience implementing AI enabled testing solutions and automation at scale

Key Success Metrics

• Automation Coverage Increase
• Reduction in Defect Leakage
• Release Cycle Time Improvement
• Cost Optimisation through Automation
• AI Adoption and Productivity Gains
• Environment Stability Improvements
• Test Data SelfService Adoption
• Stakeholder Satisfaction Scores
• Transformation Milestone Achievement

Other details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

• Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.