Description

Key Skills: Data Lineage, Generative AI, Data quality, Data Governance, Artificila Intelligence, SQL, Python

Roles and Responsibilities:

• Own data governance activities including standardization of data definitions and ensuring consistent usage across systems, products, and regions.
• Maintain enterprise metadata and data catalog/dictionary, including data lineage mapping from source systems to downstream reporting.
• Perform data profiling and analysis to identify anomalies, missing information, and root causes of data quality issues (RCA).
• Author, implement, and document data quality rules and validation logic using SQL and/or Python, including preventative and detective controls.
• Continuously monitor data pipelines/ETL and dashboards, set up alerting for threshold breaches, and drive remediation action plans through issue tracking.

Skills Required:

• 5 - 8 years of hands-on experience in data governance/data quality/data management, including 2 - 3 years in Banking industry.
• Data governance practices including data definitions, ownership, and policy compliance.
• Artificial intelligence and generative AI concepts applied to enterprise workflows and decision support.
• Data quality management including profiling, rule creation, monitoring, and remediation.
• Data lineage and metadata management to assess impact areas and support governance and audit readiness.

Good to Have:

• Python and SQL for implementing data quality checks, validation logic, and automation.

Education: Any Graduation, Any Post Graduation (MBA/Masters preferred in Economics/Statistics/Mathematics/IT/Computer Applications/Engineering or related fields)

Key Skills

Education

Any Graduate