Data governance with Gen AI/AI

Overview

Data/Information Management Analyst role within Citi's AIM team, supporting data governance, data quality and AI-powered solutions across the retail consumer bank.

What you'll do

• Maintain data catalog/dictionary, documenting business, technical and operational metadata including data lineage, definitions and data standards.
• Map data lineage from source systems to downstream reporting to identify potential impact areas.
• Ensure all data assets adhere to defined data governance policies and data privacy regulations.
• Perform deep profiling of large datasets to identify structure, patterns, hidden anomalies or missing information.
• Investigate data quality issues to determine root cause, distinguishing upstream processing errors from data entry errors.
• Evaluate critical data elements for accuracy and completeness.
• Collaborate with business stakeholders to define and validate business rules for completeness, accuracy, consistency and validity.
• Develop and implement data quality rules, checks and preventative/detective controls using SQL, Python or specialized DQ tools.
• Document validation logic and exception-handling procedures for critical datasets.
• Actively monitor data pipelines, ETL processes and dashboards to proactively identify DQ issues and operational anomalies.
• Develop and maintain data quality metrics and scorecards reporting accuracy trends to leadership.
• Set up automated alerts for breach of data quality thresholds.
• Identify, document and triage data quality issues through a tracking system.
• Develop and execute remediation plans, including data cleansing and automated corrections.
• Partner with data stewards, IT and developers to resolve data issues and implement long-term solutions.
• Mentor junior members of the team.

What you'll need

• MBA / Masters in Economics, Statistics, Mathematics, Information Technology, Computer Applications or Engineering from a premier institute, or BTech / BE in Information Technology, Information Systems or Computer Applications.
• 5+ years of hands-on experience in people management, delivering data quality, MIS and data management, with at least 2-3 years in the Banking Industry.
• Proficiency in Python, SAS, SQL, Teradata and Collibra.
• Good understanding of the Banking domain (Cards, Deposit, Loans, Wealth management and Insurance etc.).
• Knowledge of Audit Framework, Data quality framework, and Risk & control Metrics.
• Ability to identify, clearly articulate and solve complex business problems and present them to senior management or partners in a structured and simpler form.
• Excellent communication and inter-personal skills.
• Good process/project management skills.
• Ability to work well across multiple functional areas and thrive in a dynamic, fast-paced environment.
• Proactive approach to problem solving with an eye for detail; a strong team player.

Nice to have

• Design and develop AI-powered solutions across the data quality lifecycle utilizing Agentic AI frameworks.
• Experience with prompt engineering.
• Experience building LLM-based applications, AI agents or autonomous workflows.
• Exposure to LangChain / LangGraph frameworks.
• Exposure to creating multi-agent orchestration.
• Exposure to BI tools and technologies such as Tableau.
• Automation and process re-engineering / optimization skills.
• Knowledge of Finance Regulations and understanding of the Audit Process.
• Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science or related fields.

Details

• Location: Bangalore, Karnataka, India.
• Employment type: Full time.