Data Quality Analyst - Data Governance (AI)

TL;DR

Data Quality Analyst (AI): Monitoring and improving data quality across critical data domains to ensure AI readiness and regulatory compliance with an accent on AI-assisted DQ techniques and MR 5f governance. Focus on implementing automated profiling, anomaly detection, and root cause analysis to support responsible AI adoption.

Location: Hybrid (three days per week in-person presence required) in Canada

Salary: 65,000 – 90,000 CAD

Company

A leading global multi-line insurer providing risk management and commercial property-casualty insurance solutions.

What you will do

• Implement and operate data quality controls including profiling, validation, and reconciliation based on governance standards.
• Measure data quality dimensions (accuracy, completeness, consistency, timeliness) and produce KPIs for MR 5f reporting.
• Apply AI-assisted capabilities like automated profiling and anomaly detection to improve risk detection efficiency.
• Assess data readiness for AI use cases, identifying issues related to bias, semantic clarity, and completeness.
• Document and track data quality issues, perform root cause analysis, and manage remediation status.
• Maintain operational metadata and data lineage to improve discoverability and trust for AI consumption.

Requirements

• Bachelor's 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.
• Must be able to work in a hybrid model (3 days in-office) within Canada.

Nice to have

• Strong SQL and data analysis skills for large, complex datasets.
• Experience with automated data quality tools and anomaly detection.
• Understanding of data preparation specifically for AI and advanced analytics.
• Familiarity with data catalog practices and metadata management.

Culture & Benefits

• Comprehensive health and benefits plan with flexible coverage levels.
• Generous time off: minimum of four weeks of vacation and four personal days per year.
• Strong commitment to Diversity, Inclusion, Equity, and Belonging (DIEB).
• Access to a wide range of professional training and development opportunities.
• Collaborative environment where diversity of thought is valued.