Director of Quality Assurance - Data & Analytics

About the role

The Director of Quality Assurance – Data & Analytics is responsible for leading and evolving the quality assurance function for data and analytics products across the organization. This role provides both strategic leadership and hands-on QA execution, ensuring the accuracy, reliability, usability, and performance of dashboards, data pipelines, reports, and APIs. The Director partners closely with cross-functional teams to establish scalable QA practices, drive consistent testing operations across multiple teams, and build a strong culture of quality.

Responsibilities

• Lead the QA function for data and analytics products, defining direction, priorities, and measures of success.
• Build, scale, and manage, and develop a QA program that supports multiple teams, products, and delivery streams.
• Drive cross-team QA operations, including intake and prioritization, defect management, release readiness, and quality reporting.
• Partner with cross-functional leaders to embed quality practices early and influence decisions that improve product quality and delivery confidence.
• Design, review, and (when needed) execute test strategies, plans, and validation approaches across products and releases.
• Lead validation of complex data and analytics solutions, including dashboards and reporting, semantic layers and metric logic, ETL/ELT pipelines and data transformations, and APIs and data integrations.
• Act as the senior QA lead on high-risk or high-visibility initiatives, stepping in hands-on to ensure successful delivery.
• Establish and evolve QA standards, frameworks, and reusable templates used across teams.
• Define and enforce core QA practices (e.g., test coverage expectations, defect lifecycle, release quality criteria).
• Expand test automation and data validation automation to improve speed, coverage, and repeatability.
• Guide selection and effective use of QA tools (test management, defect tracking, API/data testing, automation).
• Use quality metrics, defect trends, and retrospectives to reduce recurring issues and strengthen release confidence.

Requirements

• Bachelor’s degree in computer science, information systems, or related field (or equivalent experience).
• 8+ years of progressive quality assurance experience, including substantial experience testing data and analytics solutions.
• 3+ years of people leadership and/or QA program leadership with responsibility for setting direction, managing priorities, and driving outcomes across multiple teams.
• Demonstrated expertise testing data-centric products such as dashboards, reports, data models, ETL or ELT pipelines, APIs, and analytics platforms.
• Experience with SQL and data validation techniques, including reconciliation, source-to-target validation, and business rule testing.
• Experience establishing QA processes, standards, and operating models that can be used consistently across products or delivery teams.
• Experience with test management, defect tracking, API testing, and automation tools; ability to apply automation pragmatically in support of data and analytics quality goals.
• Familiarity with modern delivery practices and tools such as Azure DevOps, Git, CI/CD pipelines, and Agile delivery methods.
• Strong ability to partner with technical and business stakeholders, translate requirements into test strategy, and influence quality outcomes across organizational boundaries.
• Excellent leadership, communication, and organizational skills, with the ability to balance strategic oversight and direct execution.

Qualifications

• Strong background in data and analytics quality assurance.
• Proven experience in leading and scaling QA programs.
• Experience in healthcare, regulated data environments, or validation of metrics and reporting used for operational or executive decision-making.

Skills

• SQL and data validation techniques.
• Test management, defect tracking, API testing, and automation tools.
• Modern delivery practices and tools such as Azure DevOps, Git, CI/CD pipelines, and Agile delivery methods.
• Ability to partner with technical and business stakeholders.

Benefits

• Competitive total compensation package.
• Medical, dental and vision insurance.
• Retail Savings program with generous company contribution.
• Hybrid working model.
• Health Savings Account with company contribution.
• Wellness program.
• Paid time off and personal days.
• 9 paid holidays.
• Paid Parental Leave.

Pay

Min: $96,000
Max: $173,000

Schedule

Hybrid working model: three days in the office, two days optional remote work.