Data Governance Officer

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, or 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.