Job Title: Data Governance Analyst
Location: Toronto, ON
Estimated Duration: 3 Months
Role profile description: For Connected Data Platform (CDP) Migration Project
Role Overview
The Data Governance Analyst will support the design, implementation, and ongoing management of the enterprise data governance framework, with a strong focus on data cataloguing, metadata management, and business glossary development. This role works closely with business and technical stakeholders to ensure data assets are well-defined, classified, discoverable, and aligned with organizational data standards and policies.
Key Responsibilities
– Support data cataloguing activities using Microsoft Purview Data Catalog, including onboarding, metadata enrichment, and classification review.
– Develop and maintain business and technical metadata, including business glossary terms, data element definitions, and operational metadata.
– Apply and validate data classifications, sensitivity labels, and criticality indicators in alignment with data governance, privacy, and information handling standards.
– Align data elements to the enterprise information model, including personal and sensitive information domains.
– Collaborate with business stakeholders to gather requirements, clarify data definitions, and resolve data-related ambiguities.
– Conduct metadata analysis and tagging to improve data discoverability and usability across the organization.
– Monitor, test, and validate catalog functionality and metadata quality across environments.
– Support proof-of-concept and continuous improvement initiatives related to data governance tooling and processes.
– Communicate complex technical concepts clearly to non-technical audiences.
Required Skills and Qualifications
– Solid understanding of data governance principles, metadata management, and data cataloguing best practices.
– Hands-on experience with Microsoft Purview or other data governance platforms such as Collibra or Informatica.
– Experience with metadata analysis, tagging, and classification frameworks.
– Familiarity with data privacy concepts, information classification, and data handling standards.
– Strong analytical and problem-solving skills, with the ability to work through ambiguous information.
– Excellent attention to detail and time management skills,
– Strong knowledge of Microsoft products (PowerPoint and Excel)
– Ability to communicate effectively with both technical and business stakeholders.
– Working knowledge of Microsoft tools (e.g., Excel) and basic SQL; experience using Databricks is an asset.
– Must be Protected-B Clearance ready, obtained from the RCMP
Nice to Have
– Experience supporting data governance operating models or data quality initiatives.
– Familiarity with regex or scripting to support metadata standardization and automation.
– Experience working in regulated environments or with privacy-sensitive data.
– Experience in financial services and insurance