QA Practice Lead
Job Description
Owns the Enterprise Data Warehouse (EDW) QA practice at ABC. Accountable for the shift-left, test-driven operating model, the service level objectives the practice commits to, and the development of the QA Leads and engineers in the practice.Job Description
Lead the EDW QA practice end to end, including the QA Leads embedded in each delivery team, the automation engineers, and the shared engineer poolOwn and continuously improve the shift-left, test-driven operating model: QA engagement from backlog refinement, acceptance criteria and test design agreed before code is written, and stage-by-stage QA responsibilities integrated with the Enhancement Team delivery processDefine, baseline and report the practice service level objectives, including first-pass quality rate, defect escape rate and automated regression coverage, and drive the improvement plan against themOwn the data quality CI/CD gate standards (accuracy, latency, performance, security) applied on every environment promotion, and the framework used to enforce themRepresent QA in the service governance cadence with US Enterprise Data stakeholders: steering committee, delivery reviews, escalations and maturity assessmentsPlan capacity across the four delivery teams, balance the shared engineer pool against demand, and manage sprint level QA commitmentsSet the test strategy, standards, templates and tooling for data validation, regression, source to target, performance and security testing across SQL Server, SSIS, dbt, Fivetran, Python ingestion and the Databricks LakehouseOwn the QA knowledge base, onboarding programme and skills matrix; run the certification and upskilling track including Databricks readinessRecruit, coach, appraise and develop QA Leads and engineers; run performance and career conversationsChampion responsible use of AI/LLM-powered tools (e.g., Claude, Copilot) for test design, synthetic data and query review, with validation standards for AI-assisted output before use in production test cyclesAct as the escalation point for quality risks, release readiness disputes and post-production defects; lead root cause analysis and corrective actionCommunicate practice status, metrics and risks to ABC leadership and US stakeholders; present demos, timelines and insights
Qualification
10+ years in software or data quality assurance, with 4+ years leading QA teams in a data engineering or data warehousing environmentProven track record establishing or transforming a QA practice, including shift-left or test-driven approaches and QA embedded in agile delivery teamsHands-on background in data testing with SQL and Python; able to review test designs and queries and challenge test coverage crediblyExperience defining and reporting quality metrics and service level objectives to senior stakeholdersExperience running QA in a managed service or shared service model with cross-border stakeholdersStrong people leadership: hiring, coaching, performance management and succession planningExcellent verbal and written communication, including the ability to present to executive and non-technical audiencesFamiliarity with Agile/Scrum delivery and with Azure DevOps or equivalent work management toolingPreferred ExperienceHands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platformsExperience with data quality frameworks and CI/CD quality gates for data pipelinesISTQB Advanced or Expert level certification, or equivalentBanking or financial services industry experienceEducation requirementsBachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field
About The Global Business Services
A dynamic offshore hub based in the Philippines, serving as a vital extension of its parent organization’s operations. As an internal support center, it delivers high-impact services across multiple departments, including technology, compliance, finance, and operations, supporting various lines of business.