Director, Quality Assurance

Responsibilities

• Defines and owns the enterprise QA framework, methodology, and standards, aligned to ASTQB principles.
• Establishes a unified testing methodology spanning software delivery, data engineering pipelines, and analytics outputs.
• Drives adoption of structured acceptance criteria upstream, in partnership with the Director, Informatics.
• Creates a quality maturity model and roadmap with measurable milestones.
• Owns test strategy, test planning, and test execution standards for software delivery, including in-house applications, APIs, SMS/mobile, and portals.
• Formalizes test case documentation, regression suites, and defect management processes.
• Defines defect severity classifications, escalation thresholds, and root cause review cadence.
• Matures the Data QA function from basic scripting to structured test plans, formal test cases, and regression coverage.
• Partners with Data & Analytics leadership to embed validation checkpoints at ingestion, transformation, and delivery layers.
• Aligns data quality testing to the Data Governance standards, ensuring QA operationalizes the quality dimensions.
• Drives automation strategy targeting regression and pipeline validation as primary surfaces; sets regression automation coverage targets.
• Establishes quality metrics dashboards: defect rates, escape rates, test coverage, and cycle time, reported to IT leadership.

Qualifications

• 10+ years of progressive QA experience, including at least 3 years at a director or equivalent level.
• Demonstrated experience maturing informal or under-structured QA teams, installing methodology where it did not previously exist.
• Deep familiarity with ASTQB frameworks: test planning, test case design, defect lifecycle, and regression strategy.
• Hands-on experience with QA in both software delivery and data/analytics environments.
• Proven ability to lead through influence, building adoption across peer functions rather than relying solely on top-down authority within QA.
• Strong communication skills; able to translate QA metrics and risk into language meaningful to non-technical executives.
• Healthcare, specialty pharmacy, or regulated industry experience, with exposure to clinical or operational data environments.
• ISTQB/ASTQB certification (Foundation, Advanced, or Expert level).
• Familiarity with data quality frameworks (DAMA, TDQM) and data governance integration.
• Experience with test automation frameworks (Selenium, Playwright, pytest, dbt tests, Great Expectations).
• Exposure to cloud-based data platforms (Azure, AWS, GCP) and modern data stack environments.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.