Zensar Technologies—Data Governance

Job description

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