Data Governance/Data Quality

About us: 

Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. 

What do we offer: 

DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support: 

• Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc 

• Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules 

• Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions. 

• DQ Score cards: Publishing monthly/quarterly score cards 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 

Expertise Required: 

Analytical Skills 

• 5+ Years of experience data analysis , data quality, data governance and visualization 

• Proficient in formulating analytical methodology, identifying trends and patterns with data 

• Generate actionable Business Insights 

• Experience with Natural Language Processing (NLP) techniques for analyzing unstructured data to derive qualitative insights. 

• Skill in evaluating and leveraging AI technologies to enhance data quality, governance, and overall data strategy. 

Tools and Platforms 

• Proficient in SAS, SQL 

• Proficient in MS Excel, PowerPoint and VBA 

Domain Skills 

Good understanding of 

• Data definitions and data discovery 

• Data quality framework