Data Governance Lead

Location: Canada
Employment Type: Full-Time
Experience: 8 12 Years

Job Summary

We are seeking an experienced Data Governance Lead / Manager to design, implement, and operationalize enterprise-wide data governance and data quality programs across cloud, on-premises, and hybrid data environments. The ideal candidate must have strong Insurance domain experience and hands-on expertise in governance operating models, data quality, metadata management, data standards, and modern Azure data governance technologies.

Key Responsibilities

• Design and implement enterprise-wide Data Governance frameworks and operating models.
• Define data ownership, stewardship roles, governance workflows, data councils, and escalation processes.
• Establish data policies, standards, business glossaries, data dictionaries, reference data definitions, and canonical data models.
• Develop and implement Data Quality frameworks, including profiling, validation rules, quality scorecards, root cause analysis, issue management, and remediation.
• Govern insurance data across Policy, Claims, Underwriting, Billing, Customer, Producer, Product, Coverage, Finance, and Regulatory Reporting domains.
• Implement metadata management, data lineage, cataloging, and access control capabilities.
• Work with Microsoft Purview, Azure Databricks, Unity Catalog, Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure SQL.
• Utilize tools such as Collibra, Ataccama, Informatica Axon/EDC, and Alation for governance and data quality initiatives.
• Support sensitive data classification and controls for PII, PHI, PCI, financial, and confidential data.
• Partner with business, actuarial, underwriting, claims, compliance, analytics, and technology teams.
• Support Data Governance Committees, governance KPIs, adoption roadmaps, compliance, and audit readiness.
• Lead teams supporting MDM, Data Quality Engineering, Metadata Management, and Data Stewardship.

Required Qualifications

• 8 12 years of experience in Data Governance, Data Management, or Data Quality.
• Strong hands-on experience designing and implementing enterprise Data Governance frameworks.
• Strong Insurance domain experience is required.
• Experience with Policy, Claims, Underwriting, Billing, Customer, Producer, Product, Coverage, Finance, and Regulatory Reporting data.
• Strong experience with Data Governance operating models, Data Ownership, Data Stewardship, and Governance Workflows.
• Hands-on experience with Data Quality Management and Root Cause Analysis.
• Experience with Business Glossaries, Data Dictionaries, Metadata Management, Data Lineage, and Data Standards.
• Strong experience with Azure data technologies, including Microsoft Purview, Databricks, Unity Catalog, ADLS, Synapse, ADF, and Azure SQL.
• Experience with at least one major governance platform such as Collibra, Ataccama, Informatica Axon/EDC, or Alation.
• Knowledge of PII, PHI, PCI, privacy, security, retention, compliance, and audit requirements.
• Strong stakeholder management and leadership skills.

Preferred Qualifications

• Experience leading MDM implementation or Data Quality Engineering teams.
• Experience supporting enterprise regulatory reporting and compliance initiatives.
• Experience working across cloud, on-premises, and hybrid data ecosystems.
• Experience with enterprise data governance KPIs and adoption programs.

Key Skills

Data Governance, Insurance Data Governance, Data Quality, Data Stewardship, Governance Operating Model, Data Ownership, Business Glossary, Data Dictionary, Metadata Management, Data Lineage, Data Standards, Root Cause Analysis, Microsoft Purview, Azure Databricks, Unity Catalog, Azure Data Lake, Azure Synapse, Azure Data Factory, Azure SQL, Collibra, Ataccama, Informatica Axon/EDC, Alation, MDM, PII/PHI/PCI, Privacy, Security, Compliance, Property & Casualty Insurance