Job Description

• Job Title: Data Governance Lead (Banking)

• 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
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• 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
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• Preferred Certifications

• CDMP (Certified Data Management Professional)
• DCAM (Data Management Capability Assessment Model)
• DAMA Certification
• Cloud certifications (Azure Data, AWS Data Analytics – optional)
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