Senior Officer Data Quality UAE National

Commercial Bank of Dubai; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Commercial Bank of Dubai seeks an experienced Data Governance professional to execute governance processes, manage critical data elements, and maintain data quality across multiple domains. The role requires collaboration with Data Owners, Stewards and Technology teams to ensure accuracy, consistency and regulatory compliance.

The candidate will maintain governance documentation, support dashboards and drive continuous improvement in data-management practices within the bank’s data management

Qualifications

• Bachelor’s degree in Data Management, Computer Science, Information Systems or related field.
• Minimum 3 years’ experience in data quality, data governance, metadata management or related role.
• Experience with data profiling, metadata, lineage, and dashboards is preferred.

Responsibilities

• Execute approved data governance processes and controls.
• Coordinate with Data Owners, Stewards and Tech teams to collect governance information.
• Maintain auditable evidence of governance activities and outcomes.
• Support definition and management of Critical Data Elements and business glossaries.
• Support data-quality rule definition, validation and monitoring.
• Prepare data-quality dashboards, reports and summaries.
• Escalate governance issues through proper channels.
• Support regulatory, audit and assurance activities related to data governance.

Skills

Data governance

Data quality

Metadata management

Data profiling

Stakeholder management

Education

Bachelor’s degree in Data Management or related

Tools

Data governance platforms

Advanced spreadsheet skills

Data-quality platforms

Job description

Job Description:

Job Purpose:

Principal Accountabilities:

1. Data Governance Operations

• 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.

2. Critical Data Elements and Business Glossary

• 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.

6. Metadata and Data Lineage

• 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.

10. Continuous Improvement

• 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

Requirements

Education and Experience:

• Academic qualification: Bachelor’s degree in Data Management, Computer Science, Information Systems, Business Analytics, Statistics or a related discipline.
• Experience: Minimum 3 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.

Requirements: