The Role
Leads the QA practice across software delivery, including test strategy, planning, execution, defect triage, release readiness, automation, metrics, and continuous improvement. Coaches QA staff, partners with Product and Engineering, manages test environments and dependencies, communicates quality risks, and ensures releases are supported by objective test evidence. The role also drives increased automation, risk-based testing, early defect detection, and improved QA transparency and accountability.
Summary Generated by Built In
The QA Lead is accountable for the quality assurance practice across product delivery, ensuring that software is testable, test execution is timely and transparent, critical defects are surfaced early, and releases meet agreed quality standards. This role leads day-to-day QA planning and execution, strengthens automation and regression coverage, coaches QA team members, and works closely with Product Owners and Engineering to embed quality throughout the software development lifecycle rather than treating testing as a final-stage activity.
The QA Lead is expected to create clear visibility into test readiness, progress, risk, and blockers. The role owns the operating discipline of QA: defining test approaches, ensuring execution begins when planned, maintaining useful quality metrics, driving defect triage, and escalating issues early when delivery or release quality is at risk.
Key Responsibilities
Quality Leadership & Accountability
Success in this role will be demonstrated through measurable improvement in the reliability, transparency, and efficiency of the QA function, including:
The QA Lead is expected to model transparency, ownership, and proactive communication. Problems do not need to be perfectly solved before they are raised. When quality, timing, environment stability, or test readiness is at risk, the expectation is to surface the issue early, explain the impact, and drive the appropriate next action with the delivery team.
Salary: $115,000/Annually
The QA Lead is expected to create clear visibility into test readiness, progress, risk, and blockers. The role owns the operating discipline of QA: defining test approaches, ensuring execution begins when planned, maintaining useful quality metrics, driving defect triage, and escalating issues early when delivery or release quality is at risk.
Key Responsibilities
Quality Leadership & Accountability
- Own the day-to-day QA practice and establish consistent expectations for test planning, execution, documentation, and release readiness.
- Ensure QA work begins when planned and that delays, blockers, environment issues, data needs, or scope gaps are identified and communicated immediately.
- Create transparency into what has been tested, what remains untested, current defects, quality risks, and confidence in release readiness.
- Hold QA team members accountable for execution commitments, timely updates, accurate status reporting, and follow-through.
- Coach QA team members on testing discipline, risk-based thinking, root-cause analysis, and stronger ownership of outcomes.
- Develop and maintain test strategies for new features, enhancements, integrations, defects, and platform changes.
- Partner with Product Owners early in discovery and refinement to identify test scenarios, edge cases, data needs, dependencies, and acceptance criteria before development is complete.
- Ensure test cases provide adequate functional, integration, regression, negative, end-to-end, and workflow coverage based on business and technical risk.
- Coordinate test data, environments, integrations, and dependencies required for successful QA execution.
- Confirm that critical workflows can be tested end-to-end before work is considered ready for business UAT.
- Use risk-based testing to prioritize the highest-value scenarios when time or environment constraints require tradeoffs.
- Lead defect triage in partnership with Product and Engineering, ensuring severity, priority, business impact, and ownership are clear.
- Track critical defects through resolution and retest and ensure unresolved quality risks are explicitly documented before release decisions.
- Define and enforce practical QA exit criteria, including expectations for critical defect closure, regression completion, and stability.
- Provide an objective quality recommendation for releases based on test evidence and known risk.
- Identify recurring defect patterns and partner with Engineering and Product on preventive actions rather than relying only on downstream testing.
- Develop and maintain a pragmatic test automation strategy focused on high-value regression, repeatable workflows, integrations, and business-critical scenarios.
- Partner with QA Automation Engineers and Engineering to increase reliable automated coverage without creating brittle or low-value automation.
- Use modern AI-assisted tools, where appropriate, to accelerate test-case creation, test-data design, automation development, and quality analysis while preserving human review and accountability.
- Evaluate test tooling, frameworks, and processes and recommend improvements that increase efficiency, coverage, and maintainability.
- Reduce manual regression effort over time by identifying the strongest candidates for automation and incorporating automated tests into delivery pipelines where feasible.
- Work closely with Product Owners to ensure requirements and acceptance criteria are clear, testable, and aligned to expected business outcomes.
- Partner with Engineering on defect prevention, unit/integration test expectations, environment stability, observability, and root-cause analysis.
- Collaborate with Architecture and platform teams when quality issues involve integration, infrastructure, data movement, or systemic technical risk.
- Support business UAT by ensuring the product is genuinely ready for validation and by helping distinguish blocking defects from non-blocking follow-up work.
- Communicate quality risk in clear business terms so leadership can make informed release and prioritization decisions.
- Maintain a small, actionable set of QA metrics that reflect product quality and execution health rather than activity alone.
- Track measures such as test execution progress, escaped defects, defect severity, defect reopen rate, regression coverage, automation coverage, UAT rework, and recurring defect trends.
- Use metrics to identify systemic improvement opportunities and to show whether changes to process, automation, or requirements quality are producing measurable results.
- Provide concise status reporting that clearly states current quality, material risks, blockers, required decisions, and next actions.
- Significant hands-on experience in software quality assurance, including functional, integration, regression, and end-to-end testing.
- Experience leading QA execution, mentoring testers, or functioning as a senior/lead resource responsible for quality outcomes.
- Strong understanding of Agile/Scrum delivery and the role of QA throughout discovery, development, testing, UAT, and release.
- Demonstrated ability to create test strategies and translate complex business workflows into thorough, risk-based test coverage.
- Experience managing defects and facilitating effective triage with Product and Engineering.
- Working knowledge of test automation concepts, frameworks, and CI/CD practices.
- Strong written and verbal communication skills, including the ability to surface concerns early and communicate quality risk clearly to both technical and non-technical stakeholders.
- Strong ownership mindset, organization, follow-through, and comfort operating in a fast-moving environment with multiple concurrent priorities.
- Experience testing complex enterprise applications, healthcare technology, claims, payments, utilization management, provider data, EDI, APIs, or other heavy integration workflows.
- Experience with automated API, UI, regression, and integration testing.
- Experience using AI-assisted development or testing tools such as Microsoft Copilot, GitHub Copilot, or comparable tools.
- Familiarity with Jira, Confluence, test-management tools, CI/CD pipelines, observability platforms, and cloud-based application environments.
- Experience helping a QA organization mature from primarily manual testing toward a balanced automation and risk-based quality model.
Success in this role will be demonstrated through measurable improvement in the reliability, transparency, and efficiency of the QA function, including:
- QA execution starts on time, with blockers surfaced immediately rather than discovered later.
- Leaders and delivery teams have clear visibility into test progress and release risk.
- Critical defects are identified earlier in the lifecycle, and fewer defects escape into UAT or production.
- UAT rework and repeated defect patterns decline over time.
- Regression coverage becomes increasingly reliable, repeatable, and automated.
- QA team members demonstrate stronger ownership, consistency, technical capability, and accountability.
- Release decisions are supported by objective test evidence and clearly documented risk.
The QA Lead is expected to model transparency, ownership, and proactive communication. Problems do not need to be perfectly solved before they are raised. When quality, timing, environment stability, or test readiness is at risk, the expectation is to surface the issue early, explain the impact, and drive the appropriate next action with the delivery team.
Salary: $115,000/Annually
Skills Required
- Significant hands-on experience in software quality assurance, including functional, integration, regression, and end-to-end testing.
- Experience leading QA execution, mentoring testers, or serving as a senior or lead resource responsible for quality outcomes.
- Strong understanding of Agile and Scrum delivery across discovery, development, testing, UAT, and release.
- Ability to create test strategies and translate complex business workflows into thorough, risk-based test coverage.
- Experience managing defects and facilitating triage with Product and Engineering.
- Working knowledge of test automation concepts, frameworks, and CI/CD practices.
- Strong written and verbal communication skills, including communicating quality risks to technical and non-technical stakeholders.
- Strong ownership, organization, follow-through, and ability to manage multiple concurrent priorities.
- Experience testing complex enterprise applications, healthcare technology, claims, payments, utilization management, provider data, EDI, APIs, or other heavily integrated workflows.
- Experience with automated API, UI, regression, and integration testing.
- Experience using AI-assisted development or testing tools such as Microsoft Copilot or GitHub Copilot.
- Familiarity with Jira, Confluence, test-management tools, CI/CD pipelines, observability platforms, and cloud-based application environments.
- Experience maturing a QA organization from primarily manual testing toward balanced automation and risk-based quality practices.
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The Company
What We Do
Integra Partners is a leading network management company that connects Orthotics and Prosthetics (O&P) and Durable Medical Equipment (DME) providers with health plans and their patients. The company works with more than 50 health plans and has over 4,000 provider locations in its network. For more information on Integra Partners, visit www.accessintegra.com
