
Senior Data Quality Specialist
2 weeks ago
The team responsible for this role oversees the implementation of top-notch data quality measurement programs across various markets in consumer banking.
Critical Areas We Support:- Regulatory Compliance: Execution of business data quality measurements as per regulatory programs like CCAR, AML, etc.
- Metric Development: Identification of critical data elements in different systems, data quality rule design, testing and validation of rules.
- Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems, products, and regions.
- DQ Scorecards: Publishing monthly, quarterly scorecards at country level and preparing executive summary reports for senior management.
- Issue Management: Identifying defects and investigating root causes for different issues, following up with stakeholders for resolution as per SLA.
- Audit Support: Identifying cases on control gaps, policy breaches, and providing data evidence for audit completion.
- Data Certification: Developing procedures on data certification and certifying as per fit-for-purpose criteria.
Essential Skills:
- Analytical and project management skills.
- Liaison with business, operations, and technology stakeholders to identify critical data elements, define data quality rules, and implement data quality measurement and monitoring.
- Implement data quality issue management and resolution processes to ensure data quality issues are identified, prioritized, and remediated effectively.
- Directly manage a team of DQ analysts and involve closely in day-to-day work.
- Help team members in understanding requirements for all DQ profiling, ad-hoc requests, and provide required support to build logic for the same.
Desirable Skills:
- Proficient in SAS, SQL, Teradata.
- Proficient in MS Excel, PowerPoint.
- Good understanding of Banking domain, Cards, Deposit, Loans, Wealth management, Insurance, etc.
- Audit framework, data quality framework, risk, control metrics.
- Knowledge of Finance Regulations, understanding of Audit Process.
Nice to Have Skills:
- Exposure to BI tools and technologies (e.g., Tableau or Cognos or SAS BI).
- Automation and process re-engineering optimization skills.
- Soft skills: ability to identify, clearly articulate, and solve complex business problems, present them to senior management or partners in a structured and simpler form.
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