Data Quality Analyst - Data Governance (AI-Ready Data)

The Opportunity

Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global insurance provider in the world? Look no further than Zurich Canada.  

If you have experience in executing data quality controls, and are looking for a new challenge, we would love to hear from you.  

Zurich Canada is currently 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 to provide transparency, evidence, and insight for governance oversight, regulatory compliance, and responsible AI adoption

Reporting to the Data Platform Leader, you will execute data quality controls required under the enterprise Data Governance Framework and MR 5f Data Management Risk Policy, with a specific focus on ensuring data is AI ready, trusted, and fit for advanced analytics and AI use cases.
This is a unique opportunity to build your knowledge and experience for the future in a supportive environment where your voice matters. This posting is a new vacancy. 

Zurich Canada uses artificial intelligence–enabled tools to support certain aspects of the recruitment process, including the initial review and screening of applications. Artificial intelligence is not the sole basis for candidate shortlisting or selection. All hiring decisions are reviewed and made by qualified hiring professionals.

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 (MR 5f)
•    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. 

AI Rady Data & Advanced Quality Techniques
•    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.

Issue Management, Evidence & Risk Escalation
•    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. 

Metadata, Lineage & Transparency
•    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. 

Job Qualifications - What you bring to the table

Required:

•    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.

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. 

At Zurich Canada, we are committed to pay equity. We determine compensation based on objective criteria such as skills, experience, and internal equity. The salary range for this position is 65,000 – 90,000. This range reflects the expected pay for the role across Canada and may vary depending on factors like office location, specific responsibilities, and individual qualifications. As required by local law, Zurich provides in good faith a reasonable compensation range, but starting salaries may exceed this range based on a candidate’s skills and experience.

Our Culture

•    At Zurich, we are proud of our culture. We are passionate about Diversity, Inclusion, Equity and Belonging (DIEB). We want you to bring your whole self to work, and we want our employees to be reflective of the communities in which we live and work. Our DIEB initiatives are creating an environment where everyone feels welcome. 
 
•    We have a collaborative culture where diversity of thought is valued. We value your input and strive to give our employees the tools they need to make an impact.  
 
•    We care about our employees’ well-being and offer a comprehensive health/benefits plan with varying levels of coverage to suit your specific needs and a competitive total compensation package. 
 
•    We understand how important it is to rest, recharge and do the things you love. At Zurich, all employees receive a minimum of four weeks of vacation per year to do just that. 
 
•    We also understand that employees require time off for personal reasons. Maybe you have an appointment during a workday, a cultural or religious holiday you would like to observe, or you need time off to focus on your mental health. Zurich employees receive four personal days per year to be used at their discretion.  
 
•    We are committed to continuous improvement and offer access to a comprehensive range of training and development opportunities.  
 
•    We care about our communities. Our communities are where our customers, people, and shareholders live and work. While we can be proud of the contribution to society Zurich makes through our core business of insurance, we must also give back to our communities through our talent, time and resources. 
 
•    We have won numerous awards for our workplace culture. We are proud to be one of Greater Toronto’s Top Employers and to have received Insurance Business Canada’s 5-Star Diversity, Equity and Inclusion Award.    

 
Make a difference. Be challenged. Be inspired. Be supported. Love what you do. Work for us.  

About Us

Zurich Canada is part of the Zurich Insurance Group, a multi-line insurer with approximately 55,000 employees worldwide serving customers in global and local markets. Zurich Canada has been a leading insurance provider serving mid-sized and large companies, including multinational corporations, in the Canadian commercial market for 100 years. With over 650 employees in offices across the country, Zurich offers the global strength of a top insurance provider combined with in-depth knowledge of industries and local markets. Zurich Canada aspires to be risk management professionals’ first choice as their premier partner to help meet the risk challenges of today and tomorrow. Read more at www.zurichcanada.com.