Competition #2025-378-CSLead, Data Governance (2025-378-CS)Employment Type:Permanent Full-Time, Non-Bargaining Unit Work Hours:35 hours/week (M-F 9am-5pm)Work Setting:Onsite – Limited opportunities to work remotely Salary:$77,000 - $95,000Application Deadline:August 21, 2025 by 11:59 pm
Program Overview – Digital Transformation Office, Central Services
The Lead, Data Governance is responsible for architecting, implementing, and operationalizing WoodGreen's enterprise data governance framework. This role will lead the deployment and ongoing operation of Microsoft Purview, designs metadata and access control structures, defines glossary and stewardship models, and ensures that enterprise data is trusted, governed, accessible, and compliant.
The role collaborates closely with the Data & Insights function within Enterprise Analytics to ensure that governance structures are directly embedded into reporting tools, analytical workflows, and decision-making practices.
The incumbent will lead the execution of data governance activities within the Enterprise Analytics team and will act as the organizational data consultant, providing strategic and technical leadership in identifying, onboarding, and stewarding enterprise data assets. Key responsibilities include implementing governance processes, leading the onboarding of new data sources, supporting data owners in assessing readiness, embedding governance requirements into operational workflows, and maintaining data quality at scale. While ultimate governance accountability resides with the Director, this position ensures the practical application of governance frameworks and may occasionally collaborate on analytics initiatives to maintain alignment between governance standards and reporting practices.
What You Will Do

• Lead the enterprise configuration, rollout, and maintenance of Microsoft Purview, including automated metadata scanning, glossary management, lineage mapping, and access control.
• Design and operationalize a comprehensive metadata strategy, including business glossaries, data classifications, tagging standards, and subject-area alignment.
• Collaborate with the Data & Insights function to ensure governance definitions, glossary terms, and access protocols are consistently reflected in analytics products and data visualizations.
• Establish and enforce role-based access controls (RBAC) across data zones, domains, and reporting environments.
• Collaborate with the Lead, Data Engineering to embed governance checkpoints and validation logic into ingestion and transformation pipelines.
• Serve as the primary technical and governance data steward for enterprise data assets.
• Support departments in identifying, prioritizing, onboarding, and maintaining data sources, including external third-party data providers, within the governance ecosystem.
• Define and monitor data quality rules, profiling thresholds, and structured issue escalation workflows.
• Operate and sustain governance tooling (e.g., Purview), ensuring updates, integrations, lineage, and documentation are current.
• Partner with data stewards, data owners, and the Data & Insights function to ensure assigned data assets are cataloged, compliant, and high-quality.
• Track, resolve, and document all data quality incidents, performing root cause analysis and advising on remediation strategies.
• Develop and maintain governance policies, procedures, and playbooks aligned to WoodGreen's mission and compliance obligations.
• Provide training and consulting support to data owners, analysts, and operational teams on stewardship responsibilities and governance best practices.
• Deliver governance onboarding for new data domains and maintain governance artifacts in sync with the Enterprise Data Model (EDM).
• Support compliance audits (e.g., PHIPA, PIPEDA, GDPR) through robust governance recordkeeping and traceability.
• Provide governance-related input to disaster recovery and risk assessment processes, ensuring compliance and data retention requirements are reflected in continuity plans.
• Act as the point person for governance platform enhancements, including backlog prioritization, testing, and rollout.
• Drive enterprise understanding of governance value by promoting data trust, literacy, and ethical use across all levels of the organization.

What You Bring to the Team

• Bachelor's degree in Information Management, Data Governance, Library Sciences, Computer Science, or a related technical discipline.
• 7+ years of experience in data governance, metadata management, or enterprise data stewardship, with demonstrated leadership in cross-functional environments.
• Hands-on experience implementing and operating enterprise governance platforms (e.g., Microsoft Purview or equivalent), including configuration, automation, and monitoring.
• Strong understanding of metadata architecture, lineage mapping, role-based access controls (RBAC), data quality controls, and glossary governance.
• Practical experience establishing and maintaining data quality rules, issue resolution processes, and escalation workflows.

What Will Set You Apart

• Familiarity with Azure data services, enterprise data warehouses, and analytics environments (e.g., Power BI).
• Working knowledge of compliance frameworks such as PHIPA, PIPEDA, GDPR, and ability to embed these requirements into governance processes and tools.
• Proven ability to collaborate across technical and business teams, including Engineering, IT, and Analytics, and influence stakeholders to integrate governance into operational and reporting systems.
• Strong policy writing, documentation, and training delivery skills.
• Demonstrated commitment to ethical data use, social accountability, and mission-driven service.

WoodGreen is an equal opportunity employer. We are committed to providing an inclusive and barrier-free selection process and work environment. If contacted in relation to an employment opportunity, please advise our People & Culture representatives at [email protected] of the accommodation measures required. Information received relating to accommodation will be addressed confidentially.

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