AVP leading AI transformation, including fraud detection, for Manulife, a global financial services provider. Driving secure, governed Classical, Generative, and Agentic AI solutions across Corporate Functions.
ZI
Data Quality Analyst – Data Governance, AI-Ready Data
Posted 5 months ago
About the role
- Data Quality Analyst monitoring and improving data quality across critical domains for Zurich Canada. Utilizing AI assisted techniques for data governance and compliance within a hybrid work model.
Responsibilities
- 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 MR 5f governance reporting and dashboards.
- Apply 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.
- Identify, document, and track data quality issues, including root cause analysis and remediation status.
- Provide evidence of data quality control operation to support audits, MR 5f risk reviews, and AI governance assessments.
- Escalate material data quality issues through defined governance channels; does not independently accept data or AI risk.
- Maintain 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.
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 roles.
- 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.
Benefits
- Health insurance
- Competitive total compensation package
- Four weeks of vacation
- Four personal days
- Access to training and development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Generative AI Analyst validating Canadian French translations for Welo Data, a global AI data company. Reviewing and annotating multilingual AI - generated content for training and quality improvement.
Senior engineers evaluating AI coding - agent interactions for G2i. Assessing reasoning, explanations, outputs, and engineering judgment across Codex, Claude Code, and Cursor.
Manager integrating workforce management with AI transformation at TD, a major North American bank. Connecting financial, operational, and workforce planning across customer operations.
Search +AI Discovery Manager leading enterprise SEO, AI - search strategy, and client advisory for dentsu, a global integrated marketing agency. Mentoring North American SEO teams and shaping innovative search methodologies.
Director leading Homebase’s data engineering, data science, and applied AI teams. Building trusted data infrastructure and AI - powered tools for 150,000+ small businesses.
AI Solution Specialist helping greenhouse growers adopt Source.ag’s AI - powered crop technology. Building dashboards, automations, and custom tools while translating greenhouse insights into product improvements.
Senior Advisor designing and integrating generative AI solutions for Desjardins, North America’s largest cooperative financial group. Driving adoption through training, change management and scalable AI practices.
Strategy and management consultant creating complex business scenarios and evaluating AI outputs. Supporting Gramian Consultancy’s IT talent solutions through rigorous consulting analysis and executive deliverables.
Gartner Director Analyst shaping AI - driven technology operations guidance for CIOs. Conducting research, advising executives, and presenting modernization strategies to global clients.