About this role
• Job Title: Data Governance Lead (Banking)
• Role Summary
• The Bank Data Governance Lead is responsible for liasioning with Enterprise Data Governance team in establishing, implementing, and managing the bank’s data governance framework. This role acts as a bridge between business, technology, risk, and compliance teams to drive data as a strategic asset.
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• Key Responsibilities
• 1. Data Governance Framework
• Support enterprise-wide data governance strategy, policies, and standards • Respond to Enterprise Data Governance team from Bank team point of view for questions about data ownership, stewardship, and accountability models • 2. Data Quality Management
• Define data quality rules, KPIs, and monitoring mechanisms • Drive root cause analysis and remediation of data quality issues • Work with business and IT teams to improve data quality across critical domains • 3. Metadata & Data Lineage
• Implement metadata management practices and tools • Ensure documentation of data lineage across systems (front-to-back tracking) • Maintain business glossary and data catalog • 4. Regulatory & Compliance Alignment
• Ensure compliance with banking regulations • Support audits and regulatory reporting with accurate, traceable data • 5. Data Stewardship
• Identify and onboard data stewards across business units • Provide training and governance guidelines to stakeholders • Develop stewardship KPIs and accountability models • 6. Data Risk Management
• Identify and mitigate data-related risks • Monitor data controls and implement risk frameworks • Collaborate with risk and compliance functions •
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• Required Skills & Qualifications
• Education
• Bachelor’s or Master’s degree in Computer Science, Data Management, Finance, or related field • Experience
• 8–15 years of experience in data management, data governance, or related roles • Experience in banking, financial services, or fintech is strongly preferred •
• Core Skills
• Strong understanding of: • Data governance frameworks (DAMA-DMBOK preferred) • Data quality, metadata, and lineage concepts
• Experience with regulatory frameworks. • Knowledge of data platforms: • Data Warehousing, ETL, Data Lakes, Cloud (Azure/AWS/GCP)
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• Technical Skills
• Data Governance Tools: Collibra, Informatica Axon/EDC, Alation • SQL & data analysis skills • Understanding of APIs, data pipelines, and integration •
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• Key Deliverables
• Data quality scorecards and dashboards • Data catalog and business glossary • Regulatory compliance reports • Data lineage documentation •
• Preferred Certifications
• CDMP (Certified Data Management Professional) • DCAM (Data Management Capability Assessment Model) • DAMA Certification • Cloud certifications (Azure Data, AWS Data Analytics – optional) • me