Analytics Governance Manager - Data Quailty
Globe Group22F The Globe Tower
Posted December 3, 2025
Full Time
About the Company
Globe is a leading full-service telecommunications company in the Philippines and publicly listed in the PSE with the stock symbol GLO. The company serves the telecommunications and technology needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connectivity, internet and managed services. It has major interests in financial technology, digital marketing solutions, venture capital funding for startups, and virtual healthcare. In 2019, Globe became a signatory to the United Nations Global Compact, committing to implement universal sustainability principles. Its principals are Ayala Corporation and Singtel, acknowledged industry leaders in the country and in the region. VISION We see a Philippines where Families' dreams come true, Businesses flourish, and the Nation is admired. MISSION To do our part, we create Wonderful Experiences for people to have choices, Overcome Challenges, and discover new ways to Enjoy Life. OUR VALUES We put our customers first. We value People & together we make the difference. We act with integrity. We care like an owner. We keep things simple. We move Fast, We are Better Everyday.
Job Description
The Data Quality Operations Manager is accountable for the operational execution of the Data Quality Framework. This role shifts focus to the technical and tactical maintenance of data health, ensuring that critical data quality issues are detected, reported, and resolved before they impact business KPIs.
Requirements
- Process data quality checks
- Maintain and operationalize data quality dashboards
- Apply best practices for data engineering
- Ensure accuracy of implementation
- Proactive detection & monitoring
- Data governance alignment
- Report and cascade data quality issues
- Root cause analysis & resolution
- SLA management
- Strategic alignment
- Project management
- Stakeholder management
- Advanced SQL proficiency
- Data engineering best practices
- Snowflake
- DBT (Data Build Tool)
- Data visualization
- Python (scripting for automation is a plus)
- Certifications in Snowflake, Data Engineering are helpful
