Head of Data Quality

Responsibilities

• Develop the Enterprise Data Quality Management Strategy.
• Participate in the Enterprise Information & Data Strategy.
• Participate in the Enterprise Data as Assets Strategy.
• Responsible for Development & implementation of the Enterprise Data Quality policies, procedures and controls covering all Sources of data, Data Warehouse and Operational Data.
• Manage the day-to-day activities to ensure that data quality activities are executed and applied as designed and comply with established policies, processes and procedures.
• Oversee the Profiling activities of all new data sources to discover quality patterns.
• Manage the activities of producing the regular data quality profiling reports.
• Direct the analysis of the data quality profiling reports and promote the necessary actions.
• Manage applying the relevant data quality dimensions.
• Oversee the activities of creating required data quality rules & controls.
• Ensure the Data Quality Profiling and error detection activities are effective, efficient to address the demand.
• Direct the Proactively discovery of the quality issues and notify relevant stakeholders.
• Manage the data quality repository.
• Review data quality issues & incidents raised by data quality detection unit.
• Manage the activities of root cause analysis for all types of quality issues.
• Management the Creation of remediation and corrective actions plan.
• Oversee the execution of the remediation plan after obtaining required business approval across relevant operational systems.
• Assess and identify opportunities in the market to enrich and improve the organizational data.
• Manage the associated prevention activities based on the root cause analysis done by remediation unit.
• Direct preventive action plans based on the result of root cause analysis reports.
• Oversee executing the preventive action plans by introducing required changes to business processes and operational systems.
• Ensure preventive data quality measures are established in the identified data source systems.
• Review and approve data quality controls throughout all sources of data and ensure data quality rules are adequate and reusable.
• Ensure that data quality prevention policies & controls are followed and applied across all new changes and projects.
• Build the knowledge of Data Quality Management across the Organization.
• Direct & guide the subordinates on how to play the role of Enterprise Data Quality Management on all levels.
• Manages the effective achievement of Enterprise Data Quality Unit objectives through the leadership of the Enterprise Data Quality Unit – setting individual objectives, recruiting qualified staff, managing performance, developing and motivating staff, providing formal and informal feedback and appraisal – in order to maximize subordinate and division performance.
• Assess the impact of introduced changes to people, process and systems and develop relevant communication and awareness initiatives to support the effective implementation of change.
• Represent the function and actively contribute in various committees/meetings (internal and external) as applicable and per authority levels in order to ensure relevant matters are dealt with in a timely and efficient manner.
• Supervise the preparation of timely and accurate reports to meet the bank and department requirements, policies and standards.
• Performs other related duties or assignments as directed.

Qualifications

• Bachelor’s degree in Information Management System or Computer Science with preferably Master degree in MIS.
• 8–10 years relevant experience in Data & Information Management in banking.
• 6–8 years experience in data quality management.
• 4–6 years experience in management in general.
• Language: English: Advanced

Required Skills

• Outstanding overall Banking Knowledge.
• Strong generic Data Management Background.
• In depth knowledge of Data Quality processes and best practice.
• Strong leadership and management skills.
• Outstanding analytical & problem-solving skills.
• Strategic planning skills.
• Excellent communication skills.
• In depth project management knowledge.
• In depth knowledge of the bank’s regulations.