Staff Quality Assurance Manager

Growth Acceleration Partners; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Growth Acceleration Partners seeks an experienced QA leader to define and drive end-to-end testing for new systems and modernization efforts. You will ensure data quality and monitoring for Databricks pipelines, and establish AI governance frameworks for production use.

You will integrate testing into GitHub-based CI/CD workflows and collaborate with product managers to translate business needs into robust, secure quality solutions.

Qualifications

• 8+ years of QA leadership and enterprise test strategy experience.
• Experience overseeing end-to-end testing for complex software from build to deployment.
• Proven ability to establish data quality, testing, and monitoring for large pipelines.
• History of managing GitHub-based workflows with traceability between issues and PRs.
• Experience evaluating AI solutions in production environments.

Responsibilities

• Define, implement, and lead end-to-end testing strategy for new development and modernization projects.
• Ensure data quality, testing, and monitoring standards for data pipelines (Databricks, PySpark, SQL).
• Establish frameworks to evaluate AI applications and agentic workflows in production.
• Integrate QA practices into Git-based CI/CD and deployment pipelines, incl. Databricks assets.
• Collaborate with product managers and cross-functional teams to translate business needs into quality solutions.
• Ensure testing complies with security and data privacy governance, including human oversight for AI.

Skills

QA leadership

Test strategy development

Data quality assurance

AI quality & governance

GitHub workflows

Security & privacy governance

Tools

Databricks

Delta Lake

Unity Catalog

Azure SQL/Cosmos DB

React with TypeScript

C# .NET 10

FastAPI

Job description

• Define, implement, and lead the end-to-end testing strategy for new system development and legacy modernization projects.
• Ensure rigorous data quality, testing, and monitoring standards for Databricks data pipelines built with PySpark and SQL.
• Establish robust frameworks to evaluate, monitor, and govern AI applications and agentic workflows in production.
• Ensure quality assurance practices integrate seamlessly into Git-based CI/CD workflows and deployment pipelines, including Databricks Asset Bundles.
• Collaborate effectively with product managers, business stakeholders, and cross-functional development teams to translate business needs into technical quality solutions.
• Ensure testing protocols comply with security and data privacy governance models, including human oversight for AI solutions.

Qualifications

• Professional Experience
• 8+ years of professional experience in Quality Assurance with a proven track record of managing QA teams and enterprise-wide test strategies.
• Experience overseeing end-to-end testing for complex software projects, ensuring quality from build through deployment.
• Demonstrated experience establishing data quality, testing, and monitoring standards for large-scale data engineering pipelines.
• Proven experience managing workflows entirely within GitHub, ensuring strict traceability between issues and pull requests.
• Experience evaluating and monitoring AI solutions in production environments.

Required Skills

• Required Technical Skills
• Strong experience in several of the following areas:
• Software QA Leadership
• Formulating test strategies for decoupled architectures utilizing React with TypeScript, C# .NET 10, and FastAPI.
• Data Quality Assurance
• Implementing data testing and monitoring frameworks for Databricks, Delta Lake, Unity Catalog, and Azure SQL/Cosmos DB.
• AI Quality & Governance
• Methodologies for evaluating AI use cases, ensuring security, data privacy, and robust monitoring for production AI/agentic solutions.
• Deep understanding of Git-based CI/CD, managing all work via GitHub Issues and Pull Requests.

Preferred Skills

• Nice to Have
• Familiarity with testing infrastructure provisioned via Azure Bicep and applications utilizing Microsoft Entra ID single sign-on.
• Knowledge of observability platforms and practices, including OpenTelemetry logs, spans, and metrics within Unity Catalog.
• Experience testing data visualization implementations such as Apache ECharts.
• Functional familiarity with domain-specific data such as Concur invoice/expense data, 73Strings comparator data, or fund accounting analytics.