- Lead the strategic integration of generative and predictive AI tools throughout the SDLC, including AI-assisted test case creation, requirements analysis, and risk-based test coverage.
- Scale quality output to keep test capacity aligned with development while monitoring release cycle time, escaped defects, automated coverage, and regression runtime.
- Oversee automated testing strategies for a multi-tenant SaaS platform, including Playwright, AI-powered self-healing infrastructure, tenant isolation, data segregation, and configuration-driven test matrices.
- Direct QA organization activities to support continuous validation, platform stability, and quality engineering practices.
- Ensure QA practices, documentation, and evidence meet applicable healthcare and regulatory requirements, and support internal and customer audits.
- Own review, approval, and evidence frameworks for AI-assisted test assets to meet traceability and audit standards.
- Partner with Security and DevOps to embed security testing in delivery pipelines and ensure PHI is handled and de-identified appropriately in test environments and data.
- Lead distributed in-house and vendor QA teams across time zones and maintain partnerships with QA vendors and tool providers.
- Own quality plans for concurrent product launches and SaaS releases, including release trains, phased rollouts, feature flags, and release-readiness criteria.
- Recruit, mentor, and develop QA leaders and engineers; manage budgets, defects, metrics, and resource forecasting.
API testingCI/CDQuality Assurance+2 more