Data Governance Lead

What You Will Do : As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Required Qualifications : - 7+ years of experience in data governance and data management. - Proficient in Microsoft Purview and Informatica data governance tools. - Strong in metadata management, lineage mapping, classification, and security. - Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. - Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. - Skilled in bridging technical governance with business and compliance goals. Tools & Technologies : - Microsoft Purview(must have), Collibra, Atlan, Informatica Axon, IBM IG Catalog - Microsoft Purview capabilities : 1. Label creation & policy setup 2. Auto-labeling & DLP 3. Compliance Manager, Insider Risk, Records & Lifecycle Management 4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM. Key Responsibilities : 1. Governance Strategy & Stakeholder Alignment : - Develop and maintain enterprise data governance strategies, policies, and standards. - Align governance with business goals : compliance, analytics, and decision-making. - Collaborate across business, IT, legal, and compliance teams for role alignment. - Drive governance training, awareness, and change management programs. 2. Microsoft Purview Administration & Implementation : - Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. - Optimize Purview setup for large-scale environments (50TB+). - Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. - Schedule scans, set classification jobs, and maintain collection hierarchies. 3. Metadata & Lineage Management : - Design metadata repositories and maintain business glossaries and data dictionaries. - Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. - Ensure lineage mapping (ADF ? Synapse ? Power BI) and impact analysis. 4. Data Classification & Security Governance : - Define classification rules and sensitivity labels (PII, PCI, PHI). - Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. - Enforce records management, lifecycle policies, and information barriers. 5. Data Quality & Policy Management : - Define KPIs and dashboards to monitor data quality across domains. - Collaborate on rule design, remediation workflows, and exception handling. - Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. 6. Business Glossary & Stewardship : - Maintain business glossary with domain owners and stewards in Purview. - Enforce approval workflows, standard naming, and steward responsibilities. - Conduct metadata audits for glossary and asset documentation quality. 7. Automation & Integration : - Automate governance processes using PowerShell, Azure Functions, Logic Apps. - Create pipelines for ingestion, lineage, glossary updates, tagging. - Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. 8. Monitoring, Auditing & Compliance : - Set up dashboards for audit logs, compliance reporting, metadata coverage. - Oversee data lifecycle management across its phases. - Support internal and external audit readiness with proper documentation. Seniority Level Mid-Senior level Industry IT Services and IT Consulting IT System Data Services Engineering Services Employment Type Full-time Job Functions Engineering Project Management Product Management Skills Data Governance Powershell Strategic Planning Management Azure Data Factory Change Impact Analysis Representational State