Data Governance Officer

Esquire Financing Inc.; Manila; On-site; PHP 350,000 - 550,000; Full time

Job summary

Esquire Financing Inc. is seeking a Data Governance Associate in Manila to implement and monitor data governance practices.

You will ensure data accuracy, security, and consistent definitions across systems and business units while supporting data policy development and governance processes. You will coordinate with business units to resolve data issues, maintain data dictionaries, and contribute to the data warehouse management.

Qualifications

• Experience implementing data governance policies, standards, and procedures.
• Knowledge of data quality metrics and measurement.
• Familiarity with metadata documentation and governance processes.

Responsibilities

• Implement and maintain data governance policies, standards, and procedures.
• Monitor and improve data quality (accuracy, completeness, timeliness) across business datasets.
• Maintain data dictionaries, metadata, and lineage for key data domains.
• Coordinate with business units on data issues and resolutions.
• Identify opportunities to streamline data processes and improve governance efficiency.
• Manage and monitor data access across the organization.
• Support in managing the data warehouse.

Skills

Data governance

Data quality management

Metadata management

Policy enforcement

Data security

Cross-functional coordination

Education

Bachelors or higher in a data-related field

Tools

Data warehouse

Metadata tools

Job description

The Data Governance Associate is responsible for implementing, monitoring, and continuously improving the company's data governance practices. He/She ensure that company data is accurate, secure, compliant, and consistently defined across systems and business units. He/She supports the development and enforcement of data policies data quality standards, metadata documentation and governance processes.

Roles and Responsibilities:

• Implement and maintain data governance policies, standards, and procedures
• Monitor and improve data quality (accuracy, completeness, timeliness) across business datasets
• Maintain data dictionaries, metadata, and lineage for key data domains
• Coordinate with business units on data issues and resolutions
• Identifiy opportunities to streamline data processes and improve governance efficiency
• Manage and monitor data access across the organization
• Support in managing the data warehouse