Viventis Search Asia
Data QA Manager
Skills
14 days ago
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Important information
Contract type:
Permanent
Salary:
₱1,560,000 – ₱1,740,000 / year
Location:
Metro Manila, Philippines
Work mode:
Hybrid
Published on:
7 October 2026
What they need
WE'RE LOOKING FOR DATA QUALITY MANAGERS/DATA QA MANAGERS!
- Work Shift: US Pacific Time/Night Shift
- Work Setup: Hybrid – 3 days onsite per week
- Salary: Up to Php 130,000 per year
ROLE OVERVIEW:
We are seeking an experienced Data QA Manager to lead a QA team and oversee quality assurance across data pipelines, ETL/ELT processes, data warehouse releases, and data quality initiatives.
KEY RESPONSIBILITIES
- Lead and manage the Data QA team, providing technical direction, mentorship, and performance guidance
- Lead QA and testing activities for data pipelines, ETL/ELT workflows, and data warehouse releases
- Define and implement data quality standards, testing strategies, and quality gates
- Develop and review test plans, test cases, and test results to ensure comprehensive test coverage
- Partner with Data Engineering, Development, Product, and Business teams to identify, troubleshoot, and resolve data quality issues
- Establish and improve QA processes, standards, and best practices to enhance data reliability and release quality
- Monitor testing progress, defects, risks, dependencies, and overall release readiness
- Drive continuous improvement in data QA processes, test automation, and testing efficiency
- Ensure data releases meet established standards for quality, accuracy, completeness, consistency, and integrity
- Identify opportunities to strengthen QA controls and reduce data-related production issues.
QUALIFICATIONS:
- 6+ years of overall Quality Assurance (QA) experience
- 3+ years of experience in Data QA / Data Quality testing
- 2+ years of experience leading QA teams or QA initiatives
- At least a Bachelor's Degree
- Proven experience managing, mentoring, and providing technical guidance to QA engineers
- Strong understanding of data pipelines, ETL/ELT processes, and data warehouses
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