Data QA Practice Lead

Axos Business Center

Manila

On-site

PHP 1,800,000 - 3,000,000

Full time

4 days ago
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Job summary

Axos Business Center in Manila is seeking a Senior QA leader to own the Enterprise Data Warehouse QA practice, guiding QA Leads, automation engineers, and a shared pool across delivery teams.

You will define and drive a shift-left, test-driven operating model, establish service level objectives, and oversee data quality gates across environments. The role requires deep analytics, collaboration with US stakeholders, and a commitment to high quality outcomes.

Qualifications

  • 10+ years in software or data quality assurance, with 4+ years leading QA teams in data warehousing.
  • Proven track record transforming a QA practice with shift-left or test-driven approaches.
  • Hands-on data testing with SQL and Python; review test designs and queries with credibility.
  • Experience defining and reporting quality metrics and service level objectives to senior stakeholders.
  • Experience running QA in a managed service or shared service model with cross-border stakeholders.
  • Strong people leadership: hiring, coaching, performance management and succession planning.
  • Excellent verbal and written communication, including presenting to executives and non-technical audiences.
  • Familiarity with Agile/Scrum and Azure DevOps or equivalent tooling.

Responsibilities

  • Lead the EDW QA practice end to end, including QA Leads embedded in each delivery team and automation engineers.
  • Own and improve the shift-left, test-driven operating model across backlog refinement and test design.
  • Define, baseline and report service level objectives and drive improvement plans.
  • Own data quality CI/CD gate standards and the framework to enforce them.
  • Represent QA in governance cadence with US Enterprise Data stakeholders; drive reviews and escalations.
  • Plan capacity across four delivery teams and manage sprint QA commitments.
  • Set test strategy, standards, templates and tooling for data validation and security testing.
  • Own the QA knowledge base, onboarding programme and skills matrix; run upskilling.
  • Recruit, coach, appraise and develop QA Leads and engineers; conduct performance conversations.
  • Champion AI/LLM-powered tools for test design with validation standards before production use.
  • Act as escalation point for quality risks and post-production defects; lead root cause analyses.
  • Communicate practice status, metrics and risks to ABC leadership and US stakeholders.

Skills

QA leadership
Data QA
SQL
Python
Test automation
Stakeholder reporting
Agile/Scrum
Azure DevOps

Education

Bachelor's degree in CS/IS/CE

Tools

Databricks
Azure DevOps

Job description

Job Description

Axos Business Center, Corp

About This Job

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 pool
  • Own 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 process
  • Define, 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 them
  • Own the data quality CI/CD gate standards (accuracy, latency, performance, security) applied on every environment promotion, and the framework used to enforce them
  • Represent QA in the service governance cadence with US Enterprise Data stakeholders: steering committee, delivery reviews, escalations and maturity assessments
  • Plan capacity across the four delivery teams, balance the shared engineer pool against demand, and manage sprint level QA commitments
  • Set 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 Lakehouse
  • Own the QA knowledge base, onboarding programme and skills matrix; run the certification and upskilling track including Databricks readiness
  • Recruit, coach, appraise and develop QA Leads and engineers; run performance and career conversations
  • Champion 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 cycles
  • Act as the escalation point for quality risks, release readiness disputes and post-production defects; lead root cause analysis and corrective action
  • Communicate practice status, metrics and risks to ABC leadership and US stakeholders; present demos, timelines and insights
Required Key Knowledge Skills/ Experience
  • 10+ years in software or data quality assurance, with 4+ years leading QA teams in a data engineering or data warehousing environment
  • Proven track record establishing or transforming a QA practice, including shift-left or test-driven approaches and QA embedded in agile delivery teams
  • Hands-on background in data testing with SQL and Python; able to review test designs and queries and challenge test coverage credibly
  • Experience defining and reporting quality metrics and service level objectives to senior stakeholders
  • Experience running QA in a managed service or shared service model with cross-border stakeholders
  • Strong people leadership: hiring, coaching, performance management and succession planning
  • Excellent verbal and written communication, including the ability to present to executive and non-technical audiences
  • Familiarity with Agile/Scrum delivery and with Azure DevOps or equivalent work management tooling
Preferred Experience
  • Hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platforms
  • Experience with data quality frameworks and CI/CD quality gates for data pipelines
  • ISTQB Advanced or Expert level certification, or equivalent
  • Banking or financial services industry experience
Education Requirements
  • Bachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field
About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to their customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn More about working at Axos Business Center

Pre-Employment Background Check, Medical, and Drug Test

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment medical and drug screening.

Equal Employment Opportunity

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard  and 

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