Data Governance Analyst

Matrix Global•Toronto, ON

About The Position

Matrix Global Services is seeking a Data Governance Analyst to support data governance initiatives for capital markets clients. This role is responsible for advancing core data management principals — data quality, data lineage, and business glossary/metadata management — and will serve as a subject matter expert (SME) on the Collibra platform. The ideal candidate combines hands-on Collibra configuration and administration experience with a working knowledge of capital markets data (trade, reference, position, and risk data) and the regulatory context that drives governance requirements in financial services.

Requirements

3–6+ years of experience in data governance, data management, or data quality roles, with direct experience in capital markets or broader financial services.
Hands-on SME-level experience configuring and administering Collibra Data Governance Center (workflows, asset model, Data Quality & Observability).
Strong working knowledge of core data governance principals: data quality frameworks, metadata management, business glossary development, and data lineage documentation.
Familiarity with capital markets data domains (trade, position, reference/security master, counterparty, risk) and related regulatory drivers.
Experience partnering with data owners, stewards, and technology teams to operationalize governance processes.
Strong written and verbal communication skills, with the ability to translate technical governance concepts into business-outcome language for client stakeholders.

Nice To Haves

Collibra certification(s) (e.g., Collibra Ranger, Collibra Certified Data Steward/Admin).
Experience with modern data platforms such as Databricks, Snowflake, or Dataiku, and their integration with Collibra for automated lineage/metadata capture.
Exposure to regulatory data programs (BCBS 239, CCAR, SR 11-7, MiFID II, or similar) in a banking or capital markets environment.
Prior experience in a consulting or professional services environment supporting enterprise clients.
Bachelor's degree in a related field (Information Systems, Finance, Data/Computer Science, or equivalent experience).

Responsibilities

Support the design, implementation, and ongoing operation of data governance processes covering data quality, data lineage, and metadata/glossary management.
Define and maintain business glossary terms, data domains, and data element definitions in partnership with business and technology stakeholders.
Document and maintain end-to-end data lineage from source systems through transformation and consumption layers, supporting traceability and regulatory reporting needs.
Design and monitor data quality rules, scorecards, and dashboards; investigate data quality issues and drive remediation with data owners and stewards.
Support data stewardship operating models, including roles, responsibilities, and escalation workflows for data owners, stewards, and custodians.
Contribute to policies, standards, and procedures for data governance aligned to regulatory expectations (e.g., BCBS 239, SR 11-7, CCAR, MiFID II) relevant to capital markets.
Serve as the SME for Collibra Data Governance Center, including workflow configuration, asset model design, and platform administration.
Build and maintain Collibra workflows for glossary approval, data quality issue management, and lineage certification.
Configure and maintain Collibra Data Quality & Observability integrations, including scanning, profiling, and rule authoring.
Integrate Collibra with source systems and metadata providers (e.g., Databricks, Snowflake, ETL/ELT pipelines) to automate lineage and technical metadata capture.
Manage Collibra domains, communities, roles, and permissions; support user onboarding, training, and platform adoption.
Partner with Collibra and internal technology teams to evaluate new platform capabilities and recommend enhancements.
Work directly with capital markets client stakeholders (data owners, compliance, risk, technology) to gather requirements and translate them into governance solutions.
Prepare governance documentation, training materials, and status reporting for client and internal leadership audiences.
Support engagement delivery in a consulting environment, including participation in proposals, discovery workshops, and client presentations as needed.