Senior Associate - QA Test Engineering Lead

Overview

Location Designation:
Hybrid - 3 days per week

We are seeking an experienced QA Test Engineering Lead to lead quality assurance for the Claims & Money Movement train within the Service Experience value stream. This role is responsible for defining and driving the end-to-end quality strategy across complex, highly integrated servicing platforms that support claims processing, payments, disbursements, and financial transactions.

As a QA lead, you will operate as a train-level quality leader, partnering closely with Product Owners, Development Managers, Solution Leads, and Architects to ensure the delivery of high-quality, compliant, and scalable solutions. You will set testing direction, advance automation and AI-enabled quality capabilities, mentor QA engineers, and ensure consistent adoption of quality standards across multiple Agile teams.

What You ll Do:

QA Leadership & Strategy

• Own and lead the train-level QA strategy for the Claims & Money Movement portfolio, ensuring alignment with Service Experience and enterprise quality standards.
• Serve as the primary QA lead for the CAMM train, influencing solution design, delivery approach, and release readiness from a quality and risk perspective.
• Define, implement, and evolve the test automation and quality engineering strategy, including regression, integration, API, and data validation testing.
• Champion AI-assisted testing capabilities, such as intelligent test generation, predictive defect analysis, self-healing automation, and test optimization.
• Establish and enforce quality governance, standards, and best practices across multiple Agile delivery teams.
• Partner with Tech and Solution Leads to plan capacity, manage dependencies, and mitigate quality and delivery risks.
• Provide technical, delivery, and career mentorship to QA engineers and leads across the train.

Test Planning, Execution & Automation

• Lead the creation and execution of train-level test strategies and plans, including environment readiness and automation coverage.
• Lead API and integration testing using tools such as Postman, SOAP UI, or equivalent.
• Oversee end-to-end testing, including functional, regression, system integration, performance, and release testing.
• Review and approve team-level test plans and automation approaches to ensure coverage of business, regulatory, and non-functional requirements.

AI-Enabled Quality & Innovation

• Introduce and scale AI-driven QA capabilities, including:
• Intelligent test case generation and prioritization
• Defect trend analysis and predictive quality insights
• Test optimization to reduce execution time and manual effort
• Self-healing or adaptive test automation where applicable
• Partner with engineering and architecture teams to embed quality signals into CI/CD pipelines.
• Continuously evaluate emerging tools and techniques to improve test effectiveness, speed, and confidence.

Defect Management, Risk & Compliance

• Own the defect management lifecycle at the train level, ensuring clear prioritization, root cause analysis, and timely resolution.
• Lead cross-team defect triage and troubleshooting for complex, multi-system issues.
• Ensure quality practices support financial accuracy, auditability, and regulatory compliance for claims and money movement.
• Proactively identify quality risks and define mitigation strategies ahead of releases.

Collaboration, Communication & Continuous Improvement

• Act as a key quality partner to Product, Business, and Technology stakeholders.
• Provide clear, data-driven quality reporting, including defect trends, automation coverage, risk posture, and release readiness.
• Participate in ART / train ceremonies, PI planning, retrospectives, and release reviews.
• Track and communicate quality metrics to drive continuous improvement.
• Identify and implement opportunities to reduce cycle time and manual testing through automation and AI.
• Support and guide User Acceptance Testing (UAT) in partnership with business stakeholders.
• Share best practices, tools, and techniques across the Service Experience QA community.

What You ll Bring

Education / Training

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Required Skills & Knowledge

Technical & Platform Expertise

• Strong experience testing complex, highly integrated enterprise systems, including cloud, distributed, and legacy platforms.
• Deep experience with Pega or similar workflow and rules-driven platforms.
• Proven experience with test automation frameworks (e.g., Selenium, Web Driver, MABL, BDD/TDD).
• Hands-on experience with API testing, SQL queries, backend validation, and data-driven testing.
• Experience integrating testing into CI/CD pipelines.
• Familiarity with test management tools such as JIRA, Practi Test, or equivalent.

AI & Modern QA Practices

• Experience applying AI- or ML-assisted testing approaches to improve coverage, speed, or defect detection.
• Strong understanding of quality engineering principles beyond manual test execution.
• Ability to evaluate and introduce emerging QA…