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Data Governance Specialist

Job in Toronto, Ontario, C6A, Canada
Listing for: Fidelity International
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Information Security & Data Protection, Data Warehousing, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 105000 - 123000 CAD Yearly CAD 105000.00 123000.00 YEAR
Job Description & How to Apply Below

Current work authorization for Canada is required for all openings. This is a hybrid role with a mix of remote and in-office working. The work location for this role is 483 Bay Street in Toronto until approximately late 2026, when the work location will change to the new Mississauga office at 3 Robert Speck Parkway.

Who We Are

At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.

What You’ll Be Doing
  • Reporting to the Manager Data Governance, the Data Governance Specialist (MDM, Data Quality & Governance) plays a pivotal role in establishing, enhancing, and maintaining Master Data Management, Data Quality, and Data Governance practices across Fidelity Canada.
  • The position supports enterprise master data standards, governance frameworks, data quality controls, business glossary, metadata, and data stewardship practices to improve the accuracy, consistency, completeness, and reliability of enterprise data.
  • The Specialist will partner with business and technology teams to deliver reliable master data, strengthen accountability for critical data assets, and promote consistent application of data governance and data quality standards.
  • Support implementation and expansion of MDM capabilities across key enterprise data domains, including Customer, Product, and Reference Data.
  • Define and document master data standards, business rules, ownership, stewardship responsibilities, and governance processes.
  • Support source-system onboarding, data profiling, mapping, validation, testing, implementation, and operational readiness.
  • Participate in record matching, merging, survivorship, hierarchy management, and golden‑record processes.
  • Maintain master data definitions, metadata, reference data structures, hierarchies, and related documentation.
  • Identify, investigate, and coordinate resolution of master data issues with business and technology stakeholders.
  • Define and maintain data quality rules, thresholds, controls, and monitoring requirements with Data Owners and Data Stewards.
  • Profile data, analyze exceptions, perform root‑cause analysis, and coordinate remediation through resolution.
  • Monitor MDM and data quality scorecards, trends, exceptions, and key performance indicators.
  • Support enterprise Data Governance frameworks, standards, policies, procedures, and controls.
  • Maintain business glossary terms, metadata, catalog content, Critical Data Elements, and lineage documentation using tools such as Ataccama.
  • Promote clear ownership, stewardship, accountability, audit readiness, and consistent governance adoption.
What We’re Looking For
  • University degree, preferably with a focus in IT, Business, or equivalent experience.
  • Minimum 4-5 years of experience in master data management, data governance, including measuring/monitoring data quality, and recommending improvements in data.
  • Minimum of 3-5 years of experience with business glossary and metadata management tools (e.g. Ataccama, EDC, Collibra), data quality tools (Ataccama, Informatica DQ) and business intelligence tools (e.g. Tableau, SAP Business Objects, Salesforce Einstein Analytics).
  • Financia…
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