Senior Manager - QA

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 ...