ROLE
– 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.
– Profiling Execution: Perform deep profiling of large datasets to understand data structure, patterns, and content, identifying hidden anomalies or missing information.
– 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.
– 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.
– 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.
– Design and Develop AI powered solution across data Quality lifecycle utilizing Agentic AI frameworks

REQUIREMENTS
– Proficient in Python, SAS, SQL, Teradata, Collibra
– 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 – example: Tableau
– Automation and process re-engineering / optimization skills
– Audit Framework
– Data quality framework
– Risk & control Metrics
– Knowledge of Finance Regulations
– Understanding of Audit Process
– 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
– Excellent communication and inter-personal skills
– Good process/project management skills
– Mentoring junior members in the team
– Ability to work well across multiple functional areas
– Ability to thrive in a dynamic and fast-paced environment
– Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
– Proactive approach in solving problems and eye for details
– A strong team player
– MBA / Master’s Degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute.
– BTech / B.E in Information Technology / Information Systems / Computer Applications
– 9-10+ years of hands-on experience in people management, delivering data quality, MIS, data management with at least 2-3 years’ experience in Banking Industry