QA Lead, Business Applications

we are looking for a QA Lead, Business Applications.
This position combines leadership with hands-on execution. You will define quality strategies for large cross-functional initiatives, including test scope, coverage, risk assessment, and release readiness criteria. You'll review developer test plans, execute end-to-end and exploratory testing, and oversee post-production validation across complex payment flows, pricing configurations, and service integrations.
Success in this role requires a deep understanding of end-to-end customer experiences, spanning backend services and customer-facing products. You will partner closely with Engineering and Product teams to ensure systems are designed with quality and testability in mind from the start.
As AI continues to transform software development, we are looking for someone who can leverage AI-powered tools to improve testing efficiency, accelerate defect analysis, optimize regression coverage, and enhance overall quality processes. You'll play a key role in shaping how modern quality practices evolve .
What you'll do:
Own the go/no-go recommendation for production releases by assessing testing progress, quality readiness, and overall risk.
Lead end-to-end quality strategy for large cross-team initiatives, from planning and design through production monitoring and validation.
Define test scope, coverage models, risk areas, rollout strategies, and quality KPIs for complex features and programs.
Validate complex business workflows, pricing configurations, customer entitlements, payment journeys, integrations, microservices, and event-driven systems through E2E, regression, exploratory, and API testing.
Use AI tools to accelerate test design, defect triage, regression planning, and coverage analysis while continuously improving team workflows.
Review and approve developer-authored test plans, ensuring sufficient coverage across positive, negative, edge-case, integration, and failure scenarios.
Partner with Engineering and Product teams early in the design process to identify quality risks and improve system testability.
Mentor developers and QA engineers on testing strategy, quality best practices, and automation analysis while helping standardize QA processes across teams.
Monitor production quality, own post-production validation activities, and manage QA-related technical debt.