Senior Data Governance Analyst, Pointclickcare

• This role requires both strong analytical expertise and the ability to communicate governance requirements and quality findings to business and technical audiences
• Post-secondary degree in Computer Science, Information Management, Business, Mathematics, or a related discipline
• 3 – 5 years of experience in data governance, data quality, metadata management, or a closely related analytical discipline
• Demonstrated experience independently leading data governance or data quality workstreams in a cross-functional, enterprise environment
• Proficiency in SQL and experience with advanced data profiling, analysis, and lineage documentation across enterprise data assets
• Hands-on experience with enterprise data catalog platforms, metadata management tools, or data quality monitoring platforms
• Strong knowledge of data governance frameworks (e.g., DAMA-DMBOK, DCAM) and practical experience applying them across business and technical teams
• Excellent stakeholder management, communication, and influencing skills; ability to present governance findings and recommendations to both business and technical audiences
• Experience designing and maintaining governance metrics, data quality scorecards, or asset certification frameworks

Desirable

• The Senior Data Governance Analyst plays a lead role in executing and advancing PointClickCare's Data Governance program
• This role owns complex data governance workstreams, drives data quality improvements, leads metadata and catalog initiatives, and acts as a trusted advisor to Data Owners and Stewards across business domains
• Reporting to the Senior Manager, Data Governance and Quality, the Senior Data Governance Analyst exercises significant autonomy in planning and executing workstreams, influences cross-functional stakeholders, mentors junior analysts, and contributes to the continuous maturation of the organization's data management capabilities
• Lead the cataloging and enrichment of priority data domains within the enterprise data catalog platform, ensuring completeness of business descriptions, CDE designations, sensitivity labels, lineage documentation, and data ownership assignments
• Design, implement, and maintain data quality monitoring frameworks and observability patterns across critical datasets; lead root cause analysis and issue remediation efforts in collaboration with Data Stewards, Data Owners, and engineering teams
• Oversee and maintain the business glossary, data dictionary, and critical data elements (CDEs), driving alignment between business domain leads and technical teams on authoritative definitions and metric standards
• Lead cross-functional workstreams to operationalize Data Trust processes including stewardship onboarding, certification reviews, governance policy enforcement, and data access governance
• Perform advanced data profiling, analysis, and lineage tracing across source and target systems to support certification readiness, compliance requirements, and AI enablement initiatives
• Develop and maintain Data Trust metrics, scorecards, and reporting dashboards that track catalog coverage, data quality health, certified asset counts, and stewardship adoption
• Act as a subject matter expert and trusted advisor to Data Owners, Data Stewards, technical teams, and business leaders on data governance expectations, issue prioritization, and data quality remediation strategies
• Design and document improvements to data governance processes, metadata standards, and data quality frameworks, and present recommendations to the Senior Manager, Data Trust
• Mentor and support junior Data Governance Analysts, providing coaching on tools, governance techniques, and best practices for metadata management and quality assurance
• Support the governance of AI-ready data assets by ensuring certified datasets meet quality, lineage, sensitivity, and documentation standards required for consumption by analytics and AI systems