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Job Summary:

The Data Quality Engineer is responsible for ensuring the accuracy, completeness, consistency, timeliness, and integrity of the Bank's data assets. The role supports Metrobank's data governance strategy by implementing data quality controls, monitoring data health, managing remediation efforts, and operationalizing data quality frameworks, rules, metrics, and validation processes to ensure data is reliable for business decision-making and regulatory compliance.

Key Responsibilities:

Data Quality Governance and Compliance:

Operationalize the Bank's enterprise data quality management framework, standards, methodologies, and procedures that ensure consistent execution of data quality management practices across the Bank
Delivery and maintenance of data governance metrics, and key performance indicators (KPIs) that provide visibility on the adherence to data governance policies, control standards and processes

Data Quality Controls, Monitoring and Reporting:

Implementation and maintenance of data quality controls, validation rules, and monitoring mechanisms across critical data assets that ensure data accuracy, completeness, consistency, timeliness, validity, and integrity
Delivery and maintenance of data quality rules, metrics, dashboards, scorecards, and key performance indicators (KPIs) that provide visibility into data quality performance and support management decision-making

Critical Data Element (CDE) Quality Management:

Establishment, assessment, monitoring, and reporting of data quality requirements for Critical Data Elements and other key business data that support business objectives, and regulatory compliance

Data Quality Issue Management, Remediation, and Continuous Improvement:

Coordinate with business and technology teams to identify, assess, prioritize, and resolve data quality issues, ensuring timely remediation and minimizing business, operational, and regulatory impacts.
Perform root cause analysis and drive accountable units to implement and sustain corrective and preventive actions that address recurring data defects.
Monitor remediation efforts and track issue resolution progress to ensure closure within agreed timelines.
Support continuous improvement initiatives that strengthen data quality controls, processes, and governance practices, preventing recurring issues and enhancing overall data quality outcomes.

Stakeholder Engagement and Support

Adherence and accountability to data governance policies and effective data quality practices throughout the enterprise data lifecycle through collaboration with Data Owners, Data Stewards, Data Custodians, business units, and technology teams.
Provide guidance and subject matter expertise on data quality requirements and controls.

Qualifications:

Bachelor's degree in Data Science, Information Systems, Statistics, Mathematics, Engineering, Business, Economics, or related field
Master's degree and/or Data Governance certification preferred
At least 3 years of experience in data management, data quality, analytics, business intelligence, or related fields
Experience in banking, financial services, or regulated industries is an advantage
Knowledge of data quality management, data governance frameworks, and data lifecycle concepts (e.g., DMBOK)
Proficient in SQL, data analysis, profiling, validation, reconciliation, and root cause analysis
Familiarity with metadata management, data lineage, and master data management
Understanding of data-related regulatory and risk management requirements
Strong analytical, problem-solving, and attention-to-detail skills
Excellent communication, presentation, stakeholder management, and collaboration skills
Ability to translate technical findings for both technical and non-technical audiences
High integrity, professionalism, and commitment to ethical data management
Strong focus on continuous improvement and operational excellence

Work Setup: Onsite

Office Location: Metrobank Center, BGC