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Growth Acceleration Partners

Staff QA Manager (US-based)

Posted a day ago
5-10 years experience
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AI Summary

The Staff QA Manager will take end-to-end ownership of QA operations, focusing on capacity planning, process improvements, and delivery visibility. They will lead critical Data Warehouse QA initiatives and drive cross-team alignment to ensure data integrity across enterprise systems.

WHAT WE DO

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.


Summary

We are looking for a highly experienced, onshore Staff QA Manager to take full ownership of our QA operations and drive critical process improvements across a complex enterprise environment. In this high-impact leadership role, you will navigate cross-functional challenges to establish structure, improve capacity planning, and elevate QA delivery visibility. A primary focus will be leading Data Warehouse QA initiatives, addressing critical data quality issues, and remediating existing gaps across prioritized datasets. Operating with a high degree of autonomy, you will transition the team from a best-effort approach to a sustainable execution model, partnering directly with technical leads and business stakeholders to align competing priorities. Please note: This role is strictly onshore (US-based).

Education

  • Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related technical field.

Professional Experience

  • Must be physically located and authorized to work onshore within the United States.

  • 8+ years of professional QA experience, with a proven track record as a hands-on QA Manager or QA Leader taking ownership of enterprise QA operations.

  • Extensive experience in Data Warehouse testing, ETL validation, and enterprise data quality remediation.

  • Demonstrated experience improving QA processes, defining capacity management strategies, and increasing project delivery visibility.

  • Proven ability to navigate complex, cross-functional environments, managing competing priorities and driving stakeholder alignment.

Key Responsibilities

  • Take end-to-end ownership of the QA function, bringing operational structure, sustainable capacity planning, and clear delivery visibility to the team.

  • Lead critical Data Warehouse QA efforts, specifically addressing and remediating data quality issues across four prioritized datasets.

  • Drive cross-team alignment by establishing consistent communication channels and prioritization frameworks with technical leads, Data Warehouse teams, and business stakeholders.

  • Define and implement comprehensive QA strategies and best practices to resolve operational bottlenecks and transition away from unsustainable, best-effort approaches.

  • Lead, mentor, and allocate resources effectively within the onshore QA team to balance ongoing software development with urgent quality remediation.

  • Act as the primary QA authority, proactively identifying risks, resolving cross-functional roadblocks, and ensuring data integrity across enterprise systems.

Required Technical Skills

Strong experience in several of the following areas:

  • QA Leadership & Operations: Advanced capacity planning, resource allocation, QA process optimization, and delivery metrics tracking.

  • Data Warehouse & Data Quality: Deep expertise in testing Data Warehouses, validating complex data transformations, and ensuring enterprise-grade data integrity.

  • Databases & SQL: Advanced SQL querying for complex source-to-target data reconciliation, gap analysis, and backend validation.

  • Test Strategy & Execution: Designing robust test strategies that encompass data pipelines, backend architecture, and frontend reporting.

Nice to Have

  • Experience testing and validating modern cloud data platforms and architectures (e.g., Azure, Databricks, Snowflake).

  • Familiarity with automated testing frameworks (e.g., Python, Pytest) to eventually transition manual QA processes into automated CI/CD pipelines.

  • Experience validating business intelligence platforms and reporting tools (e.g., Power BI).

Soft Skills

  • Advanced English proficiency (written and verbal) with exceptional executive communication skills.

  • Outstanding stakeholder management capabilities, with the ability to build consensus and drive alignment across disparate teams.

  • High degree of technical ownership, autonomy, and a strategic problem-solving mindset.

  • Strong resilience and adaptability to lead a team through operational challenges and shifting business priorities.

At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

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