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 setup2. Auto-labeling & DLP3. Compliance Manager, Insider Risk, Records & Lifecycle Management4. 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 LevelMid-Senior levelIndustryIT Services and IT ConsultingIT System Data ServicesEngineering ServicesEmployment TypeFull-timeJob FunctionsEngineeringProject ManagementProduct ManagementSkillsData GovernancePowershellStrategic PlanningManagementAzure Data FactoryChange Impact AnalysisRepresentational State