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We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 640,000 members, placing their best interests at the heart of everything we do.
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The Data Governance & Integration Analyst will be a key technical member of OMERS Enterprise Data Governance Team, working to operationalize and scale our data governance capabilities. This is a hands-on technical analyst role focused on configuring governance workflows, enabling API integrations, and supporting data quality monitoring across OMERS critical data assets.
You'll bridge the gap between business governance requirements and technical implementation—configuring tools, building integrations, analyzing data quality metrics, and empowering data stewards with the right technical capabilities. This role is ideal for someone who enjoys working with enterprise platforms, has strong technical aptitude, and wants to grow their expertise in data governance technology.
What You'll Do
Governance Platform Configuration & Administration (Primary Focus)
Configure and maintain workflows, business glossaries, data dictionaries, and metadata structures
Build and customize domain models, relations, attributes, and validation rules
Administer user access, roles, permissions, and platform performance monitoring
Support business glossary management, critical data element (CDE) definitions, and data classification initiatives
Create and maintain data quality scorecards and governance dashboards
API Integrations & Technical Connectivity
Develop and maintain API integrations between governance tools and enterprise systems (data platforms, BI tools, cloud services)
Work with REST/SOAP APIs to automate metadata ingestion and governance workflows
Collaborate with data engineering teams to ensure proper metadata capture and lineage tracking
Support integrations with Azure Data Factory, Power BI, Snowflake, and other enterprise tools
Troubleshoot integration issues and ensure data flows reliably between systems
Data Quality & Metadata Management
Support data profiling activities to identify data quality issues and anomalies
Configure and monitor data quality rules and validation checks within governance tools
Analyze data quality metrics and create reports for data stewards and stakeholders
Assist with metadata mapping, lineage documentation, and impact analysis
Maintain data dictionaries and ensure metadata accuracy across the catalog
Stakeholder Support & Enablement
Partner with Data Governance Leads and Data Stewards to translate governance policies into technical configurations
Provide technical guidance and training to business users on governance tool capabilities
Document technical processes, integration workflows, and configuration standards
Support governance KPI tracking and compliance reporting initiatives
Act as technical liaison between governance team and IT/data engineering teams
Required Skills & Experience
3-5 years of experience as a technical analyst, platform engineer, data analyst, or similar role working with enterprise data platforms
Hands-on work with REST APIs, understanding of API authentication, JSON/XML data formats
Ability to write queries for data analysis, validation, and troubleshooting (MS SQL, Oracle, or similar)
Comfortable learning new enterprise platforms and picking up technical concepts quickly
Familiarity with concepts like metadata management, data quality, business glossaries, data lineage
Ability to analyze data patterns, identify quality issues, and troubleshoot technical problems
Detail-oriented with strong organizational and time management skills
People-focused with ability to build positive relationships across technical and business teams
Problem-solver who enjoys figuring out technical challenges and finding creative solutions
Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field
Nice to Have
Experience with Collibra, Alation, Microsoft Purview, or similar data catalog/governance platforms
Exposure to Informatica IICS, CDQ, or other data quality tools
Basic scripting skills in Python, PowerShell, or similar for automation
Familiarity with cloud data platforms (Azure, Snowflake, AWS)
Experience with Power BI, Tableau, or other BI/visualization tools
Understanding of Agile methodologies
Certifications in Collibra, Data Governance, or related areas
We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week.
This posting is for an existing vacancy.
The expected salary range for this position is $72,000.00 - $108,000.00 per year.
You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.
As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.
From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.
Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.
