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Data Governance Controls Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: QuadReal Property Group, LP
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, IT Business Analyst, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 114000 - 125000 CAD Yearly CAD 114000.00 125000.00 YEAR
Job Description & How to Apply Below

About Quad Real Property Group

Quad Real Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, Quad Real has expanded its capabilities globally for investments in equity and debt in both the public and private markets. Quad Real invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

Quad Real seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come. Quad Real:
Excellence lives here.

Role Description

The Data Governance Controls Analyst is the hands-on execution arm of the enterprise data governance function. Reporting to the Data Governance Lead, this role turns the standards, definitions, and priorities set by the Lead into implemented reality in the tooling: administering the data catalog and glossary, profiling and monitoring data quality, building and maintaining governance automation and integrations, and running the operational workflows that keep governed reporting flowing.

The role exists to support i) the data governance team by carrying out the day-to-day build, configuration, analysis, and maintenance ii) the design of adequate evidence for DQ controls with control owners that would satisfy audit requests. It suits someone technically strong and detail-oriented who is comfortable working from defined standards and escalating judgment calls rather than owning policy.

Key Responsibilities
  • Catalog & metadata operations:
    Administer the Microsoft Purview data catalog and business glossary day to day: load and maintain terms, domains, and entries in line with data governance standards. Maintain metadata, lineage documentation, and versioning within the platform.
  • Data quality execution:
    Build, run, and maintain data quality scorecards; profile and validate data using SQL. Monitor data quality metrics, flag threshold breaches, perform first-line triage and root-cause investigation, and elevate to data owners.
  • Governance tooling & automation:
    Develop and maintain governance tooling and integrations, including Purview automation and API integration. Build and maintain workflow automations (e.g., Power Automate) supporting governance and reporting processes.
  • Analysis & support:
    Prepare data, tables, and supporting materials for stakeholder reviews and leadership reporting. Compile and maintain control evidence (data quality control results and exception logs) to support SOC1 and audit requests. Document processes, configurations, and standard operating procedures.
Key Relationships
  • Data Governance Lead — manager; sets standards and priorities.
  • Business Controls, Enterprise Risk Management, Compliance, and Internal Audit – joint standard setting where data and business controls intersect.
  • External tooling / integration consultants — as needed for automation and platform builds.
  • Business Data Stewards — data-level coordination and issue routing.
  • IT / Data Platform / Data Engineering — technical collaboration on ingestion, observability, and lineage.
Success Measures
  • Catalog and glossary entries maintained accurately and on schedule.
  • Data quality scorecard coverage and refresh reliability.
  • Automation uptime and measurable reduction in manual effort.
  • Turnaround time on data profiling and validation requests.
  • Control evidence complete and audit-ready when requested.
  • Data issues triaged and routed within SLA.
Experience and Qualifications
  • Bachelor's degree in Data Management, Information Systems, Computer Science, Analytics, or a related field (or equivalent experience).
  • 2–5 years in data management, data quality, business intelligence/analytics, or data engineering.
  • Strong SQL skills for data profiling and validation.
  • Hands-on experience with a data catalog, metadata, or data quality tool (Microsoft Purview strongly preferred; Collibra, Informatica, or Alation an asset).
  • Experience with workflow automation (e.g., Power Automate) and comfort…
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