
Data Quality Manager
4 weeks ago
1. Review, analyze, and work with relevant stakeholders to resolve data quality issues across source systems in scope.
2. Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.
3. Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
4. End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
5. Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
6. Document business requirements and use cases for data-related projects.
7. Manage change control process and participate in user acceptance testing (UAT) activities.
8. Implement data governance policy as a part of projects involved.
9. Identify and escalate issues in a timely manner.
Key Skills:
1. Ability to interact with business and technology teams to understand processes and data usage.
2. Ability to do data analysis and trace data lineage.
3. Capable of working across organization and as part of a cross-functional virtual team.
4. Ability to work and think independently, but within a team-based approach.
5. Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.
6. Experience in working on regulatory projects is a plus.
7. Strong communication skills.
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