Data Governance

Zensar Technologies; Dadri; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Zensar Technologies seeks a Data Governance Lead (Banking) to drive data governance across the enterprise, bridging business, technology, risk and compliance. You will define data quality rules, monitor KPIs, and enable data as a strategic asset.

You will ensure data lineage, metadata management, and a robust business glossary while supporting regulatory alignment and audits with accurate, traceable data. The role requires 8–15 years in data management within banking or fintech environments.

Qualifications

• Knowledge of data governance frameworks (DAMA-DMBOK preferred)
• Understanding of data quality, metadata, and lineage concepts
• Experience with regulatory frameworks and financial services governance
• Familiarity with data platforms: Data Warehousing, ETL, Data Lakes, Cloud (Azure/AWS/GCP)
• Proficiency in SQL and data analysis; understanding of APIs and data pipelines
• Experience with data quality scorecards and dashboards; data catalog and glossary
• Regulatory compliance reports and audits support

Responsibilities

• Support enterprise-wide data governance strategy, policies, and standards
• Define data quality rules, KPIs, and monitoring mechanisms; drive root cause analysis
• Ensure documentation of data lineage across systems and maintain data glossary and catalog
• Regulatory alignment: support audits and reporting with traceable data
• Identify and onboard data stewards; provide training and governance guidelines; develop stewardship KPIs and accountability models
• Collaborate with risk and compliance functions to mitigate data-related risks

Skills

Data governance frameworks

Data quality

Metadata concepts

Data lineage

Regulatory frameworks

Data platforms

SQL

APIs

Data pipelines

Data catalog

Education

Bachelor’s or Master’s degree in Computer Science, Data Management, Finance, or related field

Tools

SQL

APIs

ETL tools

Data analytics tools

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
• 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
• 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
• SQL & data analysis skills
• Understanding of APIs, data pipelines, and integration
• Data quality scorecards and dashboards
• Data catalog and business glossary
• Regulatory compliance reports
• Preferred Certifications
• CDMP (Certified Data Management Professional)
• DCAM (Data Management Capability Assessment Model)
• DAMA Certification
• Cloud certifications (Azure Data, AWS Data Analytics – optional)