
Team Lead, Data Governance (Toronto Hybrid)
- Toronto, ON
- Permanent
- Full-time
- Leadership & Strategy:
- Lead and grow a high-performing Data Governance team.
- Define and execute a roadmap for enterprise data governance aligned with the data product lifecycle and AI initiatives.
- As a data governance leader, you will be responsible for engaging with data product customers for prioritization of requests and developing a data product delivery roadmap.
- Work with various technology teams to implement governance solutions, standards, controls, and validations in source applications.
- Data Product Development & Governance:
- Govern the design, specification, and delivery of reusable data products using data mesh framework, ensuring data standardization and meeting quality standards.
- Responsible for developing data contracts, modeling the data products, creating data product canvas and creating field-level specifications with data dictionary and business glossary.
- Lead the design and implementation of a data quality health check system for on-going management of data products
- Lead the development with the engineering team.
- Metadata & Catalog Management
- Lead the implementation of a data catalog platform (preferrable Microsoft Purview).
- Design and manage enterprise-wide logical data model.
- Design and maintain business taxonomies and ontologies to enable structured discovery and classification of data assets. This will lead to creating knowledge graphs to support AI initiatives for natural language processing
- Perform SQL-based data analysis (querying, cleaning, transforming) to support governance and quality efforts.
- Collaboration & Communication:
- Lead data governance committees for various domains to align data definitions and maintain common schemas.
- Collaborate with cross-functional teams to document data inventory, definitions, mappings, and data quality rules.
- Data Quality Standards & Metrics:
- Develop and maintain data quality standards and metrics.
- Ensure consistency and integrity of data across systems and applications.
- Education:
- Bachelor’s degree in Information Systems, Computer Science, Data Processing, or a related field.
- Experience:
- Minimum of 5+ years of experiencein data governance, data management, or data architecture roles.
- Experience in implementing Data Catalog solutions such as MS Purview or similar.
- Technical Skills:
- Hands-on experience with metadata management tools, data catalogs, and tools for tracking data lineage and documenting data glossaries and definitions.
- Strong understanding of data architecture, data modeling, and database designwith hands-on experience in writing and running complex SQL queries.
- Experience in implementing MS Purview Data Catalog or a comparable enterprise data catalog solution will be considered a strong asset.
- Familiarity with MS SQL Server, Azure Cloud Data Storage platforms, and advanced Excelfor data analysis and reporting.
- Working experience of defining Taxonomies and Ontologies for Knowledge Graph creation to support AI initiatives.
- Knowledge of ETL toolsand experience in data integration to ensure consistency across systems.
- Familiarity with technologies like BigQuery, Azure Synapse, Power BI, JIRA, Confluence, and Lucid Charts.
- Additional Skills:
- Experience working on IT projectsand strong knowledge of the SDLC process.
- Excellent communicationand interpersonal skills to work effectively across teams.