Data Quality Lead

1. Data Quality

• Develop and implement enterprise‑wide data quality frameworks
  , policies, and procedures.
• Define and monitor data quality KPIs
  , including completeness, accuracy, integrity, validity, timeliness, and consistency.
• Perform data profiling, data validation, root‑cause analysis
  , and remediation planning.
• Maintain and enhance data quality rules, scorecards, dashboards
  , and quality metrics.

• Partner with Data Governance, Risk, and Compliance teams to align data quality standards with enterprise data governance strategy.
• Contribute to data cataloging, metadata management, business glossary creation
  , and critical data element (CDE) identification.
• Ensure adherence to regulatory compliance (e.g., Basel II/III, BCBS 239, GDPR, RBI guidelines).
• Lead data ownership/stewardship engagement and support data governance council activities.

• Apply knowledge of banking products
  , customer data, financial transactions, KYC/AML, credit, risk reporting, and regulatory data management.
• Collaborate with business units (Retail Banking, Corporate Banking, Operations, Risk, Finance) to identify data issues impacting operational and regulatory reporting.
• Support modernization initiatives such as Core Banking transformation, Data Warehousing, and Data Lake projects
  .

• Work closely with IT teams to ensure data integrity across systems
  , including CRM, CBS, loan systems, and data warehouses.
• Lead cross‑functional data quality improvement projects and manage communication with senior leadership.
• Provide training, guidance, and support to data stewards and business teams.

• Hands-on experience with Data Quality tools
  :
  Informatica DQ, Collibra, Talend, Ataccama, SAS, or equivalent.
• Familiarity with ETL tools
  , SQL, database systems, and data pipelines.
• Knowledge of cloud platforms (Azure, AWS, GCP) and modern data architectures is a plus.

• Bachelor’s degree in Computer Science, Information Management, Data Analytics, or related field.
• 10+ years of experience in data quality, data governance, or data management roles.
• Strong experience in the banking or financial services domain
  .
• Solid understanding of regulatory frameworks related to banking data.
• Excellent communication, analytical, and stakeholder‑management skills.