 3–6 years of experience in Data Governance, Data Quality, Data Analytics, Data Management, Business Intelligence, or a related discipline.

 Strong experience analysing large and complex datasets.

 Strong SQL capability.

 Experience within banking, financial services, or another highly regulated environment is strongly preferred.

 Experience working with enterprise Data Governance or Data Quality programmes.

 Demonstrated experience in Data Quality profiling, issue investigation, reconciliation, and root-cause analysis.

 Experience working across both business and technology stakeholders.

 Experience producing dashboards, management reporting, and executive-level governance reporting.

 Experience supporting data migration, system transformation, or core banking programmes would be advantageous.

 Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering,

Mathematics, Statistics, Finance, Business Analytics, or a related discipline.

 Data Governance, Data Management, Informatica, DAMA, or analytics certifications would be advantageous.

Key Competencies

 Solid analytical and problem-solving skills

 High attention to detail

 Strong ownership mentality





 Ability to challenge inconsistent or poor-quality data

 Structured root-cause analysis

 Clear written and verbal communication

 Ability to translate technical findings into business language

 Ability to work independently across multiple initiatives

 Strong documentation skills

 Ability to manage competing priorities

 Comfortable working with senior business and technology stakeholders Success Measures

 Improvement in Data Quality scores

 Increase in CDE coverage

 Increase in Data Quality rule coverage

 Completeness of Data Owner and Data Steward assignments

 Improvement in Business Glossary and metadata completeness

 Increase in lineage coverage for critical data

 Reduction in ageing Data Quality issues

 Reduction in recurring Data Quality defects

 Timely remediation of critical data issues

 Successful implementation of DMF requirements

 Quality of Data Governance reporting and dashboards

 Improved regulatory and management data traceability

 Successful Data Quality support for core banking and transformation programme

 Effective engagement with Data Owners, Data Stewards, and Technology teams

📌 Lead Software Engineer (Hyderabad)
🏢 Virtusa
📍 Hyderabad