Data Quality Manager

Position Overview
Data Quality manager is responsible for the data related to the operational process and internal KYC systems. The data quality manager is in charge of handling and resolving data quality issues detected and facilitating changes in the structure of KYC tools and operational guidelines to improve data quality.

Main Responsibilities

1. Data Quality, Analysis and Reporting covering 5th EU Anti-Money Laundering Directive (5D)
2. Key Resource contact for the Data Quality Control & Reporting process and manage the Data Quality Control Reporting tool 5D parameter.
3. Provide monthly KPI reports to the stakeholders.
4. Perform gap assessment of updates required to current KYC processes resulting from 5D regulatory change, review associated updates to processes, procedures, and technology, enabling timely implementation within the data quality change management process.
5. Resolve operational data quality issues and facilitate changes in the structure of KYC tools and operational guidelines to improve data quality.
6. Define strategies to drive data quality measurement, produce data quality reports, and implement data quality controls & enhancements to improve data quality.
7. Facilitate monthly and quarterly meetings to communicate the effectiveness of the Data Quality efforts, present the Data Quality results, progress of projects and improvement plans to Senior Management.
8. Delivery of data governance activities including but not limited to policy, practices and standards and provide materials for Senior Management and Steering Committee.
9. Design and Analyze moderate to complex reports to satisfy management requirements.
10. Assist in the remediation of audit and regulatory feedback on the data quality program.

Qualifications:

1. Ideal to have a record of accomplishment in data quality, data management, process reengineering, system analysis and technical requirements development.
2. Experience with the entire data quality lifecycle from source of data identification to data quality controls implementation and monitoring.
3. Data analysis experience on small or big data and ability to break complex problems into small and simple ones.
4. Problem-solving and critical thinking skills to recognize and comprehend complex data governance issues, policies, regulatory requirements affecting the business environment.
5. Strong relationship management and advisory skills with key stakeholders, team members and senior management.
6. Familiarity with preparation to engage with senior management level.
7. An excellent verbal and written English communication skill.
8. Good presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions.