Senior Officer, Data Quality (UAE National)

Job Title: Senior Officer, Data Quality (UAE National) Company: Commercial Bank of Dubai Job Category: Data Science Roles & Responsibilities: * Execute approved data governance processes and controls in accordance with the Data Management Policy, related standards, procedures and operating model. * Support the consistent application of data governance requirements across relevant business units and data domains. * Coordinate with Data Owners, Data Stewards, Technology teams and business stakeholders to collect, validate and maintain governance information. * Support periodic governance reviews and ensure that required actions, decisions, exceptions and approvals are properly documented. * Track governance actions and follow up with assigned stakeholders until completion. * Maintain auditable evidence demonstrating the execution of governance activities and controls. * Escalate incomplete, overdue or material governance matters through the appropriate channels. * Maintain the inventory of Critical Data Elements and associated business definitions, ownership, stewardship, source\-system mappings and regulatory references. * Support the identification and assessment of new Critical Data Elements based on regulatory, financial, customer and business\-critical requirements. * Facilitate the review, approval, modification and retirement of Critical Data Elements in accordance with the approved governance workflow. * Coordinate with Data Stewards and Data Owners to ensure that business definitions are clear, complete and consistently understood. * Perform completeness and consistency checks on Business Glossary entries. * Identify missing, duplicate, inconsistent or outdated metadata and coordinate the required updates. * Ensure that approved changes to definitions, ownership, stewardship, rules or source mappings are reflected in the relevant repositories. * Retain the required approvals and supporting evidence for changes to Critical Data Elements and glossary information. 3\. Data Quality Rule Management * Support the definition and documentation of data\-quality rules for Critical Data Elements. * Translate approved business data\-quality requirements into structured and implementable rule specifications. * Ensure that data\-quality rules include the relevant business logic, technical logic, source\-system mapping, threshold and data\-quality dimension. * Support rules covering completeness, validity, consistency and uniqueness, where applicable. * Coordinate rule validation and approval with Data Stewards and Data Owners. * Maintain the central repository of approved data\-quality rules and related documentation. * Support the testing of new or modified rules before implementation. * Ensure that changes to data\-quality rules are supported by appropriate approvals and version control. 4\. Data Quality Monitoring and Reporting * Support the execution of periodic data\-quality checks against approved rules and thresholds. * Perform data profiling, validation and analysis to identify data\-quality exceptions and recurring patterns. * Support the preparation and refresh of data\-quality dashboards, scorecards and supporting reports. * Validate data\-quality results before distribution to Data Stewards, Data Owners and management stakeholders. * Prepare summaries of data\-quality performance, threshold breaches, trends and priority issues. * Coordinate with Data Stewards to validate detailed error records and confirm the accuracy of reported exceptions. * Monitor data\-quality results for Critical Data Elements and identify material deterioration or repeated control failures. * Maintain supporting evidence for data\-quality monitoring, dashboard production and reported results. 5\. Data Quality Issue Management and Remediation Tracking * Log identified data\-quality issues in the central issue register. * Ensure that each issue includes a clear description, affected data elements, severity, ownership, target date, status and supporting evidence. * Coordinate with Data Stewards, Data Owners and Technology teams to support root\-cause analysis. * Track agreed remediation actions and follow up with responsible stakeholders against defined target dates and service levels. * Maintain a clear and current record of remediation progress, dependencies, decisions and blockers. * Escalate overdue, repeated or material data\-quality issues through the defined governance channels. * Support the validation of issue resolution and retain evidence before an issue is formally closed. * Identify recurring issues and contribute to recommendations for sustainable corrective actions and control improvements. * Document and maintain business and technical metadata for Critical Data Elements and other prioritised data assets. * Support the documentation of source\-to\-consumption data lineage, including relevant systems, transformations, interfaces and reporting outputs. * Coordinate lineage validation with Technology teams, Data Stewards and relevant business stakeholders. * Review and update lineage following material system changes, new data requirements or identified data\-quality issues. * Identify gaps or inconsistencies in lineage documentation and coordinate their remediation. * Ensure that approved lineage information is stored in the designated governance repository. * Support the adoption and controlled use of Informatica metadata, glossary, lineage and data\-quality capabilities. * Maintain supporting documentation and evidence for metadata and lineage reviews. 7\. Governance Reporting and Data Governance Forum Support * Prepare data\-quality dashboards, governance metrics, status reports and management summaries. * Support the preparation of materials for the Data Governance Forum and other management or governance meetings. * Consolidate updates from Data Stewards, Data Owners and Technology stakeholders. * Maintain meeting packs, decision logs, action trackers, approval records and supporting evidence. * Track actions arising from governance meetings and follow up with responsible stakeholders. * Ensure that approved decisions and changes are reflected in the relevant governance repositories and documentation. * Support the escalation of material data\-quality, governance or control matters for management review. 8\. Regulatory, Audit and Assurance Support * Provide documentation, evidence and traceability for regulatory requests, internal audits, external audits and assurance reviews. * Support the preparation of responses relating to data governance, data quality, Critical Data Elements, lineage and issue remediation. * Ensure that requested evidence is complete, accurate and maintained in the designated repositories. * Support the tracking and remediation of findings relating to data governance or data quality. * Coordinate with relevant stakeholders to obtain responses, documentation and closure evidence. * Maintain an auditable trail of governance approvals, data\-quality monitoring and issue\-management activities. 9\. Stakeholder Awareness and Support * Support training, onboarding and awareness activities for Data Owners, Data Stewards and other stakeholders. * Provide guidance on approved data governance and data\-quality processes, templates and responsibilities. * Assist stakeholders in completing CDE documentation, data\-quality rule specifications, issue records and governance submissions. * Promote consistent data ownership, stewardship, accountability and control practices across the Bank. * Support the preparation of guidance materials, operating procedures, frequently asked questions and standard templates. * Encourage timely stakeholder participation in governance reviews, data\-quality validation and remediation activities. * Identify opportunities to improve governance processes, control execution, documentation and reporting. * Contribute to the development and enhancement of data governance and data\-quality procedures, templates and operating guidance. * Support the automation and standardisation of metadata, lineage, data\-quality monitoring and issue\-tracking activities. * Recommend improvements based on recurring issues, stakeholder feedback, audit observations and operational experience. * Monitor relevant data\-management practices and contribute to the continuous improvement of the Bank’s Data Management Framework. * Support the progressive adoption of Informatica and other approved data\-management tools Work Location: Dubai, DU, United Arab Emirates Availability: Full time

Dubai, Dubai, AE Experienced Permanent ID: 102650 ### Requirements Education and Experience: * Academic qualification: Bachelor’s degree in Data Management, Computer Science, Information Systems, Business Analytics, Statistics or a related discipline. * Experience: 2 years’ relevant experience in data quality, data governance, metadata management, data analysis or a related data\-management role, preferably within banking or financial services. * Practical exposure: Experience in data profiling, data\-quality rules and monitoring, issue management, business glossaries, metadata or data lineage, and working with business and technology stakeholders. * Tools: Hands\-on experience with data\-governance or data\-quality platforms and advanced spreadsheet and reporting skills. Key Skills: Statistics Salary: Not disclosed