Data Governance & Quality Analyst

Ascendion; Philippines; Remote; PHP 600,000 - 1,000,000; Full time

Job summary

Ascendion is seeking a data governance specialist to drive data governance, quality management, and cataloging initiatives. The role focuses on documenting business and data requirements and supporting standards, KPIs, and controls across data domains.

You will collaborate with data owners, stewards, and technical teams to identify quality issues and propose improvements, while maintaining comprehensive data lineage documentation and facilitating stakeholder workshops.

Qualifications

• Experience in Data Governance, Data Quality Management, Data Catalog, Metadata, and Data Lineage.
• Gather, analyze, and document business and data requirements.
• Support data governance policies, standards, quality rules, KPIs, and controls.
• Maintain data catalog, metadata, and data lineage documentation.
• Collaborate with data owners, data stewards, business, and technical teams.
• Identify data quality issues and recommend process improvements.
• Facilitate stakeholder meetings and workshops.

Responsibilities

• Experience in Data Governance, Data Quality Management, Data Catalog, Metadata, and Data Lineage.
• Gather, analyze, and document business and data requirements.
• Support data governance policies, standards, quality rules, KPIs, and controls.
• Maintain data catalog, metadata, and data lineage documentation.
• Collaborate with data owners, data stewards, business, and technical teams.
• Identify data quality issues and recommend process improvements.
• Facilitate stakeholder meetings and workshops.

Skills

Data governance

Data quality management

Data catalog

Metadata

Data lineage

Job description

Ascendion is seeking a data governance specialist to drive data governance, quality management, and cataloging initiatives. The role focuses on documenting business and data requirements and supporting standards, KPIs, and controls across data domains.

You will collaborate with data owners, stewards, and technical teams to identify quality issues and propose improvements, while maintaining comprehensive data lineage documentation and facilitating stakeholder workshops.