Website Citi
Data Quality and Governance Analyst (C11) – Citi
Company: Citigroup Inc. (Citi – AIM / USCC EDO)
Location: Chennai, Tamil Nadu, India
Job Level: C11 (Intermediate / Senior Analyst)
Job Family: Decision Management / Data Management
Industry: Banking & Financial Services (BFSI)
Core Tech Stack: SQL, Python, SAS, Teradata, Collibra, Tableau, Agentic AI / LangChain / LangGraph
About Citi & AIM
Citigroup (Citi) is a global financial institution serving over 200 million customer accounts across more than 160 countries.
Within Citi, the Analytics Information Management (AIM) organization drives data-driven transformation to deliver actionable business intelligence. This role sits within the USCC Enterprise Data Office (EDO) team in Chennai, which manages global data quality measurement programs for Citi’s retail consumer banking divisions.
About the Role
Citi is seeking a Data Quality and Governance Analyst (C11) to ensure retail banking data assets are accurate, compliant, and governed across their end-to-end lifecycle.
In this role, you will perform deep data profiling, map enterprise data lineage, author preventive data quality (DQ) controls, manage critical data elements (CDEs), and support regulatory audits. Additionally, you will build and deploy Agentic AI and LLM-powered workflows to automate data quality monitoring and remediation across consumer products (Cards, Deposits, Loans, Wealth).
Key Responsibilities
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Data Governance & Metadata Management: Maintain enterprise data catalogs using Collibra. Map end-to-end data lineage across source systems and downstream reporting environments to ensure compliance with financial regulations.
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Data Profiling & Root Cause Analysis (RCA): Conduct statistical data profiling on large Teradata/SQL datasets to detect anomalies, null values, and structural defects. Perform RCA to distinguish between upstream ETL errors and input bugs.
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DQ Rule Authoring & Monitoring: Define, write, and execute automated data quality rules and controls using SQL, Python, and SAS. Maintain live DQ dashboards and scorecards in Tableau.
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Agentic AI & Workflow Automation: Design and build AI-powered solutions using LLMs, LangChain, LangGraph, and multi-agent orchestration to automate data defect triage, anomaly detection, and remediation workflows.
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Audit & Data Certification: Provide data lineage evidence for internal and external audits, enforce control gap resolutions, and certify critical datasets against “Fit for Purpose” criteria.
Ideal Candidate Profile & Qualifications
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Experience: 5–8 years of experience in data quality, data governance, and analytics, with 2–3+ years of mandatory experience in the Banking & Financial Services industry.
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Domain Expertise: Solid understanding of retail banking products (Credit Cards, Mortgages, Deposits, Personal Loans, Wealth Management), audit frameworks, risk & control metrics, and regulatory reporting standards.
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Core Technical Stack:
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Database & Scripting: Strong hands-on proficiency in SQL, Python, SAS, and Teradata.
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Data Governance Platforms: Hands-on experience using Collibra for data cataloging and lineage mapping.
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Business Intelligence: Advanced dashboarding capabilities using Tableau.
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Preferred AI & Framework Exposure: Hands-on experience with Prompt Engineering, LangChain / LangGraph, and building multi-agent AI workflows.
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Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Statistics, Mathematics, Economics, or MBA from a premier institute.
Role Summary
| Attribute | Details |
| Job Title | Data Quality and Governance Analyst |
| Organization | Citi Analytics Information Management (AIM) |
| Location | Chennai, Tamil Nadu, India |
| Job Grade | Level C11 |
| Required Experience | 5–8 Years (2–3+ Years in Banking Required) |
| Core Stack | SQL, Python, Teradata, Collibra, SAS, Tableau, Agentic AI (LangGraph) |
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