Data Governance Officer

UnionBank

Pasig

On-site

PHP 700,000 - 900,000

Full time

5 days ago
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Job summary

Union Bank of the Philippines is seeking a Data Governance Officer to strengthen the Data Trust and Governance teams as the bank expands data platforms, analytics, and AI initiatives. You will develop policies, standards, and guidelines, oversee governance assessments, and monitor compliance to address data-related risks.

The role collaborates with business units, technology teams, and control functions to embed governance into data initiatives, ensuring responsible data consumption and

Qualifications

  • Bachelor's degree in IT or related field.
  • 1–3 years in data governance or data management.
  • Knowledge of governance frameworks (DAMA-DMBOK).
  • Experience with data policies and governance documentation.
  • Familiar with Collate/OpenMetadata or similar tools.

Responsibilities

  • Develop, review, and maintain enterprise data governance policies and standards.
  • Support implementation and improvement of Data Governance Framework.
  • Conduct governance assessments and identify data-related risks.
  • Monitor compliance with data governance policies and controls.
  • Utilize data governance tools for cataloging and metadata management.
  • Collaborate with units to embed governance in data initiatives.
  • Prepare governance reports and materials for audits and committees.

Skills

Data governance
Policy development
Regulatory compliance
Data quality
SQL
BI tools
Stakeholder collaboration

Education

Bachelor's degree in IT or related field

Tools

OpenMetadata
Data catalogs
Cloud platforms

Job description

Company: Union Bank of the Philippines

Position: Data Governance Officer

Office Location: UB Plaza - 34F Pasig (Headquarters)

Employment Type: Probationary

Abou t The Role

The role's goal is o strengthen the Data Trust and Governance team's capacity to support the Bank's expanding data-driven and AI initiatives, increasing governance requirements, and evolving regulatory expectations.

As the Bank continues to expand its data platforms, data products, analytics, and AI capabilities, there is a growing need to develop and maintain governance policies, standards, and implementing guidelines, conduct governance assessments, monitor compliance, and address emerging data-related risks.

What You'll Do
  • Develop, review, and maintain enterprise data governance policies, standards, frameworks, and implementing guidelines to ensure alignment with organizational objectives and regulatory requirements.
  • Support the implementation and continuous improvement of the Bank's Data Governance Framework across business units, systems, and data platforms.
  • Conduct governance assessments, identify control gaps, evaluate data-related risks, and recommend appropriate remediation measures.
  • Monitor compliance with established data governance policies, standards, and controls, including data quality, metadata management, data access, and data lifecycle management.
  • Utilize data governance and management tools, such as Collate (OpenMetadata), to support data cataloging, metadata management, data lineage, and data quality monitoring.
  • Collaborate with business units, technology teams, and control functions to address governance concerns and embed governance requirements into data initiatives.
  • Support the governance of data consumption for analytics and AI, ensuring responsible use, data protection, and compliance with applicable policies.
  • Prepare governance reports, assessments, policy proposals, and presentation materials for management and governance committees.
  • Support internal and external audits, regulatory assessments, and remediation activities related to data governance.
  • Promote data governance awareness, responsible data consumption, and continuous improvement of data management practices across the organization.
What We're Looking For
  • Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Science, Business Analytics, or other related fields.
  • At least 1 to 3 years of relevant experience in data governance, data management, data quality, compliance, risk management, or related functions.
  • Basic understanding of data governance frameworks, data management principles, and regulatory requirements, preferably within the banking or financial services industry.
  • Experience or exposure to developing policies, standards, procedures, and governance documentation is an advantage.
  • Familiarity with data governance frameworks such as DAMA-DMBOK and data management platforms such as Collate (OpenMetadata) or equivalent tools is preferred.
  • Knowledge of data privacy, information security, and responsible AI practices is an advantage.
  • Relevant certifications in Data Management (CDMP), Data Governance, Data Analytics, Information Security, or related disciplines are an advantage but not required.
  • Strong written and verbal communication skills, analytical thinking, attention to detail, and ability to collaborate with cross-functional teams.
  • Relevant certifications in Data Management (CDMP), Data Governance, Data Analytics, Information Security, or related disciplines.
  • Experience in the banking or financial services industry, particularly in data governance, risk management, compliance, or regulatory initiatives.
  • Familiarity with industry frameworks such as DAMA-DMBOK, COBIT, and other relevant data governance standards.
  • Hands-on experience with data management platforms such as Collate (OpenMetadata), data catalogs, data quality tools, and cloud data platforms.
  • Experience in drafting, reviewing, and implementing enterprise policies, governance frameworks, standards, and implementing guidelines.
  • Exposure to data governance committees, internal or external audits, regulatory assessments, and stakeholder engagements.
  • Knowledge of AI governance, responsible AI practices, and governance considerations for AI-driven analytics and data consumption.
  • Experience with SQL, business intelligence tools, data profiling, or data quality monitoring is an advantage.
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