About the role
Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today! You will be responsible for the following: Does (The tasks /
responsibilities that
the role performs to address
requirements in Key Result Areas) Lead and manage the end-to-end QA function for Business Analytics outputs, ensuring that adhoc extracts, reports, dashboards, and other in-scope data deliverables meet defined business and technical
requirements before endorsement to UAT or production. Establish, implement, and continuously improve QA strategies, processes, ways-of-working, and governance standards for Business Analytics, including test planning, sign-off criteria, documentation templates, and quality controls aligned with agreed SLAs and KPIs. Oversee the creation, review, and approval of detailed test cases, test plans, QA checklists, and SQL-based validation approaches based on business
requirements, user stories, and acceptance criteria. Manage data quality validation and testing activities across Business Analytics outputs by ensuring completeness, accuracy, consistency, uniqueness, logic integrity, and readiness for business use. Provide leadership and direction to the QA team by assigning work, monitoring testing progress, reviewing output quality, removing blockers, and ensuring delivery of QA activities within committed timelines. Coordinate closely with Data Analysts, DAISMs (Data and AI Success Manager), Project Management Office, and business stakeholders to clarify
requirements, align on scope and acceptance criteria, and ensure timely resolution of issues affecting quality and delivery. Drive defect management by ensuring timely logging, triaging, tracking, validation of fixes, retesting, and final QA endorsement of tickets prior to requestor acceptance or production deployment. Maintain and enforce complete QA documentation and testing artifacts, including evidence files, validation queries, sign-off records, and reusable knowledge assets, to support auditability, traceability, and future testing efficiency. Track, analyze, and report QA metrics and operational performance indicators such as SLA compliance, defect leakage, rework, throughput, cycle time, stakeholder feedback, and overall quality of output to management and relevant stakeholders. Lead continuous improvement initiatives for QA within Business Analytics by identifying quality gaps, strengthening controls, standardizing practices, and introducing automation or scalable solutions that improve efficiency, reduce rework, and elevate delivery quality. Support the development and capability building of QA resources through coaching, knowledge transfer, process alignment, and performance guidance to ensure a high-performing and scalable QA team under Business Analytics. Participate in leadership and team ceremonies, status discussions, and planning sessions to communicate QA progress, risks, dependencies, and recommendations that help Business Analytics maintain strong quality and predictable delivery outcomes. Displays (The Knowledge, Skills, and Behaviors indicating how tasks /
