Zurich Canada is looking for a Data Quality Analyst – Data Governance (AI-Ready Data) to monitor, measure, and improve data quality across critical data domains, leveraging both traditional and AI assisted data quality techniques.Work Model Zurich follows a hybrid work model requiring three days per week of in-person presence, which may include time in the office or market-facing engagements.What you will do Data Quality Control Execution (MR5f)Implement and operate data quality controls (profiling, validation, reconciliation) in accordance with governance defined standards and thresholds.Measure and monitor data quality dimensions including accuracy, completeness, consistency, timeliness, and fitness for use.Produce data quality KPIs and metrics required for MR5f governance reporting and dashboards.AI Rady Data & Advanced Quality TechniquesApply AI assisted data quality capabilities (e.g., automated profiling, anomaly detection, rule generation) to improve coverage, efficiency, and early detection of data quality risks.Assess data readiness for analytics and AI use cases by identifying issues related to bias, data completeness, consistency, and semantic clarity.Partner with Data Stewards, Engineers, and Analytics teams to ensure data quality controls are embedded upstream in pipelines supporting AI and advanced analytics.Issue Management, Evidence & Risk EscalationIdentify, document, and track data quality issues, including root cause analysis and remediation status.Provide evidence of data quality control operation to support audits, MR5f risk reviews, and AI governance assessments.Escalate material data quality issues through defined governance channels; does not independently accept data or AI risk.Metadata, Lineage & TransparencyMaintain operational metadata, data quality rules, and issue logs for assigned data domains.Support enrichment of metadata and lineage to improve data discoverability, explainability, and trust for analytics and AI consumption.Ensure data quality findings are traceable to systems, pipelines, and business definitions.Job Qualifications - What you bring to the table Required:Bachelors degree in Data Management, Analytics, Computer Science, Information Systems, or a related field.3–6 years of experience in data quality, data governance, analytics, or data management roles.Preferred:Strong SQL and data analysis skills across large, complex datasets.Solid understanding of enterprise data quality concepts and control based operating models.Experience with AI assisted or automated data quality tools (e.g., automated profiling, anomaly detection, rule suggestion).Understanding of data preparation requirements for analytics and AI use cases.Familiarity with metadata management, data lineage, and data catalog practices.Ability to collaborate effectively with data engineering, analytics, and governance teams supporting AI initiatives.Where applicable, Zurich Canada is committed to pay equity. The salary range for this position is 65,000 – 90,000, which may vary based on location, responsibilities, and qualifications.#J-18808-Ljbffr