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!
The Data Operations QA Lead is responsible for ensuring accurate, secure, and efficient execution of campaign bases across CRM platforms. The role manages data operations delivery aligned with agreed SLAs and governance standards while optimizing audience setup, data structures, and campaign scheduling. This role will also drive process improvements and strengthen collaboration across Data, Campaign Management, and Business teams to support scalable and reliable CRM operations.
You will be responsible for the following:
Ensure campaign bases are executed accurately, securely, and efficiently across all CRM platforms
Manage delivery of data operations services based on agreed SLAs, deadlines, and lead times
Oversee data governance to ensure compliance, proper usage, and optimization of data resources
Develop expertise in existing data platforms and recommend optimal audience setup, data structures, and scheduling
Work closely with stakeholders to align campaign specifications, audience definitions, communication plans, and timelines
Drive continuous improvement initiatives across Data, Campaign Management, and Business teams
Support campaign optimization efforts to improve targeting, customer relevance, and conversion performance
Ensure operational accuracy and quality across CRM workflows and campaign execution
We are looking for:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related field
Proven experience in data operations, campaign management, CRM operations, or data analytics
Strong knowledge of SQL, Python, R, or other data-related tools and programming languages
Experience working with CRM platforms, audience segmentation, and campaign execution
Strong understanding of data governance, data quality, and compliance standards
Excellent analytical, problem-solving, and stakeholder management skills
Highly organized and able to manage multiple priorities in a fast-paced environment
Strong communication and collaboration skills across technical and business teams
What We Offer
Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or related field
- Proven experience in data operations, campaign management, CRM operations, or data analytics
- Strong knowledge of SQL, Python, R, or other data-related tools and programming languages
- Experience working with CRM platforms, audience segmentation, and campaign execution
- Strong understanding of data governance, data quality, and compliance standards
- Excellent analytical, problem-solving, and stakeholder management skills
- Highly organized and able to manage multiple priorities in a fast-paced environment
- Strong communication and collaboration skills across technical and business teams
What We Do
Mynt is the first and only duacorn in the Philippines. It's a leader in mobile financial services focused on accelerating financial inclusion through mobile money, financial services, and technology. Mynt operates two fintech companies: GXI, the mobile wallet operator of GCash — the #1 Finance App in the Philippines, and Fuse Lending, a tech-based lending company that gives Filipinos access to microloans and business loans. Mynt, through its fintech operations, is a staunch supporter of the United Nations Sustainable Development Goals (SDGs), particularly UN SDGs 5,8,10, and 13, which focus on safety & security, financial inclusion, diversity, equity, and inclusion as well as taking urgent action to combat climate change and its impacts, respectively.
