Data Governance

Job description

• 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. • 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 • 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) • Technical Skills • Data Governance Tools: Collibra, Informatica Axon/EDC, Alation • SQL & data analysis skills Understanding of APIs, data pipelines, and integration • 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