Description

You own data governance activities, standardizing definitions and ensuring consistent usage across systems, products, and regions.

This role is on-site.

Responsibilities

• Maintain enterprise metadata and data catalogs, mapping lineage from source systems to downstream reporting.
• Perform data profiling and analysis to identify anomalies, missing information, and root causes of data quality issues.
• Author and implement data quality rules and validation logic using SQL and Python, including preventative and detective controls.
• Monitor data pipelines, ETL processes, and dashboards, setting up alerts for threshold breaches and driving remediation.

Required Skills

• 5+ years of hands-on experience in data governance, data quality, or data management.
• 2-3 years of experience in the Banking industry.
• Strong knowledge of data governance practices, including definitions, ownership, and policy compliance.
• Proficiency in data quality management: profiling, rule creation, monitoring, and remediation.
• Experience with data lineage and metadata management for impact assessment and audit readiness.
• Understanding of Artificial Intelligence and Generative AI concepts applied to enterprise workflows.
• Hands-on skills in Python and SQL for implementing data quality checks, validation logic, and automation.

Preferred Skills

• Post-graduation degree in Economics, Statistics, Mathematics, IT, Computer Applications, Engineering, or related fields.

Key Skills

Education

Any Graduate