Senior Manager - QA

Job Summary:

This is a senior leadership role accountable for the full breadth of modern quality engineering — functional, automation, performance, security, and AI-augmented testing — within a regulated healthcare software environment. The ideal candidate combines deep technical command of the current test-engineering toolchain with the leadership skills to build, mentor, and scale a high-performing QA organization.

Key Responsibilities

Quality Strategy & Leadership

• Own the end-to-end quality strategy for PrognoCIS, aligning test coverage, release gates, and quality metrics with R&D and product roadmaps.
• Build and lead a multi-disciplinary QA organization spanning functional, automation, performance, security, and AI-testing specialists.
• Define and report quality KPIs (defect escape rate, test coverage, MTTR, automation ROI) to R&D and executive stakeholders.
• Partner with Engineering, Product Management, and Technical Documentation to embed quality practices earlier in the SDLC (shift-left testing).
• Drive a culture of quality ownership across the R&D organization, not just within the QA team.

Test Automation

• Architect scalable, maintainable automation frameworks across UI, API, and integration layers (e.g., Selenium, Playwright, Cypress, REST Assured).
• Establish automation-first standards for new feature development, targeting high regression-suite coverage with low flake rates.
• Integrate automated test suites into CI/CD pipelines for continuous testing and fast feedback loops.
• Evaluate and adopt self-healing test frameworks and AI-assisted test generation to reduce automation maintenance overhead.
• Define coding standards, code review practices, and reusable component libraries for the automation codebase.

Performance Testing

• Own performance, load, and stress testing strategy for a high-volume, multi-tenant healthcare platform (e.g., JMeter, k6, Gatling).
• Establish performance baselines and SLAs for key clinical workflows (charting, scheduling, billing, order management) and validate against them each release.
• Lead capacity planning and scalability testing in coordination with Engineering and Cloud/Infrastructure teams (AWS).
• Institute production-like performance monitoring and proactively identify degradation trends before they impact clinics.

Security Testing

• Embed security testing into the release lifecycle, covering OWASP Top 10 risks, authentication/authorization flows, and data-handling paths.
• Coordinate vulnerability scanning, penetration testing (internal or third-party), and remediation tracking.
• Ensure test coverage for HIPAA-relevant controls — access logging, PHI handling, encryption in transit/at rest — in partnership with Compliance and Engineering.
• Maintain a security regression suite that runs continuously against the CI/CD pipeline, not just before major releases.

AI-Augmented & Emerging Test Practices

• Evaluate and pilot AI-based test generation, exploratory test assistance, and defect-prediction tooling to increase QA velocity and coverage.
• Apply AI-assisted approaches to test-case design for clinical decision-support and AI-driven product features (e.g., PrognoAI / AI Encounter Studio).
• Establish testing methodology specific to AI/LLM-driven features — output validation, bias and edge-case testing, prompt-injection and adversarial-input testing, and model-drift monitoring in production.
• Stay current on the evolving AI-testing tool landscape and bring in a lightweight evaluation-and-adopt process rather than one-off tool purchases.

Compliance & Healthcare Domain

• Ensure QA processes support HIPAA, SOC 2, and relevant regulatory audit requirements, including audit-ready test documentation and traceability.
• Maintain test traceability from requirements through to release for regulated clinical and billing workflows.
• Partner with Technical Documentation and Compliance functions on release notes, validation evidence, and audit responses.

Qualifications

• Experience of minumum 12 years of testing healthcare, EHR, or other regulated (HIPAA / SOC 2 / FDA-adjacent) software.
• Direct experience evaluating or deploying AI-assisted testing tools or building test strategy for AI/LLM-powered product features.
• Familiarity with Java/Spring-based enterprise applications and SQL Server-backed systems.
• ISTQB Advanced Level or equivalent certification.

Representative Tooling Landscape

• Automation: Selenium, Playwright, Cypress, REST Assured, Appium (mobile)
• Performance: JMeter, k6, Gatling, NewRelic
• Security: OWASP ZAP, Burp Suite, dependency/vulnerability scanners
• AI-assisted testing: LLM-based test-case generation, self-healing automation, model-output evaluation frameworks
• CI/CD & Test Management: Jenkins/GitHub Actions, Jira, TestRail or Qase