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

- Data Governance : Standardization of data definitions and ensuring consistency in usage as per definitions across systems/products/regions.
- Meta Data Management : Leveraging data lineage, data discovery initiatives and creation of enterprise level meta data for all retail consumer products
- Data Ownership : Identifying trusted data sources, data owners and consumers across process and products
- Issue Management : Identifying defects and investigating root causes for different issues. Following up with stakeholders and creation of plan 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

Expertise Required : Metadata Management and Data Governance

- Maintain Data Catalog/Dictionary : Document and maintain business, technical, and operational metadata, including data lineage, definitions,



and data standards.
- Data Lineage Mapping : Utilize metadata to map data lineage, understanding how data flows from source systems to downstream reporting to identify potential impact areas.
- Policy Compliance : Ensure all data assets adhere to defined data governance policies and data privacy regulations.

Data Profiling and Analysis

- Profiling Execution : Perform deep profiling of large datasets to understand data structure, patterns, and content, identifying hidden anomalies or missing information.
- Root Cause Analysis (RCA) : Investigate data quality issues to determine the root cause, distinguishing between upstream processing errors and data entry errors.
- Data Assessment : Evaluate critical data elements (CDEs) for accuracy and completeness.

Data Quality Rule Creation and Authoring

- Rule Definition : Collaborate with business stakeholders to define and validate business rules for data validation (e.g., completeness, accuracy, consistency, validity).
- Rule Authoring/Implementation : Develop and implement data quality rules, checks, and preventative/detective controls using SQL, Python, or specialized DQ tools.
- Validation Logic : Document validation logic and exception-handling procedures for critical datasets.

Data Monitoring and Reporting

- Continuous Monitoring : Actively monitor data pipelines, ETL processes,



and dashboards to proactively identify DQ issues and operational anomalies.
- DQ Dashboards/Scorecards : Develop and maintain data quality metrics and scorecards to report on data accuracy trends to leadership.
- Alerting : Set up automated alerts for breach of data quality thresholds.

Data Concern Remediations

- Issue Resolution : Identify, document, and triage data quality issues through a tracking system.
- Remediation Action Plans : Develop and execute remediation plans, including data cleansing efforts and automated corrections.
- Cross-Functional Collaboration : Partner with data stewards, IT, and developers to resolve data issues and implement long-term solutions.
- (preferred) _
- Design and Develop AI powered solution across data Quality lifecycle utilizing Agentic AI frameworks

Technical Skills

- Proficient in Python, SAS, SQL, Teradata, Collibra
- Experience with prompt engineering
- Exposure to LangChain / LangGraph frameworks
- Exposure to creating multi-agent orchestration
- Exposure to BI tools and technologies - example: Tableau
- Automation and process re-engineering / optimization skills

Domain Skills

Good understanding of

- Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)
- Audit Framework
- Data quality framework
- Risk & control Metrics
- (preferred) _- Knowledge of Finance Regulations, Understanding of Audit Process

Soft Skills

- Ability to identify, clearly articulate and solve complex business problems and present them to the senior management or partners in a structured and simpler form
- Should have excellent communication and inter-personal skills
- Valuable process/project management skills
- Ability to work well across multiple funct

📌 Data Quality / Metadata & Data Lineage Analyst (Bengaluru)
🏢 Citi
📍 Bengaluru