Senior Data Governance Analyst

Teranet Inc.•Toronto, ON

2d•CA$110,000 - CA$132,000

About The Position

The Senior Data Governance Analyst supports Teranet’s Data and AI Governance and Management Program by helping ensure enterprise data is trusted, protected, responsibly used, and effectively managed throughout its lifecycle. Working with business, technology, Information Security, Privacy, Data Analytics, Data Management, Data Architecture, and AI stakeholders, this role helps mature governance policies, standards, controls, risk practices, metadata, data catalogs, DSPM, retention, and AI Governance capabilities. Guided by Teranet’s governance strategy, the role helps implement new technology-enabled governance capabilities and build the practical processes, workflows, automation, and controls needed to operationalize them across tools, platforms, and business teams. It supports alignment with recognized frameworks such as DAMA-DMBOK, DCAM, ISO/IEC 38505, ISO/IEC 27001, NIST AI RMF, and ISO/IEC 42001, while enabling analytics, reporting, data lake expansion, data architecture, continuous compliance, and Governed AI use cases.

Requirements

Bachelor’s degree in a relevant discipline such as Computer Science, Engineering, Mathematics, Statistics, Business, Data Management, or a related field.
5+ years of experience in data governance, data management, data architecture, analytics, risk, compliance, or a related field.
Proficiency with data, analytics, and governance tools such as SQL, Python, Spark, Excel, Power BI, Tableau, Microsoft Purview, Collibra, Informatica, Atacama, or similar platforms.
Experience with metadata management, data cataloging, lineage, classification, sensitivity labeling, data quality, reporting, analytics enablement, and enterprise data platform practices.
Experience developing or operationalizing governance policies, standards, controls, risk assessments, compliance documentation, procedures, workflows, and stewardship practices.
Familiarity with governance automation, continuous compliance, control monitoring, workflow design, and implementation of technology-enabled governance capabilities.

Nice To Haves

Preferred familiarity with DSPM, data retention, lifecycle management, AI Governance, and recognized frameworks such as DAMA-DMBOK, DCAM, ISO/IEC 38505, ISO/IEC 27001, COBIT, NIST AI RMF, ISO/IEC 42001, or OECD AI Principles.

Responsibilities

Support the operation and maturation of Teranet’s Data and AI Governance Program, including governance forums, initiative planning, metrics, issue tracking, and program reporting.
Develop, review, and operationalize governance policies, standards, controls, procedures, and stewardship practices.
Translate policy, risk, data management, and business requirements into practical workflows, controls, and operating procedures that simplify governance adoption and embed requirements into day-to-day ways of working.
Maintain and improve metadata repositories, business glossaries, data catalogs, lineage, classification, tagging, and sensitivity labeling across structured and unstructured data environments.
Partner with Data Management, Data Architecture, Data Analytics, and technical teams to embed governance requirements into data products, reporting assets, data models, platform designs, and enterprise data standards.
Support initiatives that improve the quality, usability, structure, and governance of data used for analytics, reporting, data lake expansion, architecture, and AI-enabled use cases.
Develop and monitor data quality metrics, identify issues, and support remediation with business and technical stakeholders.
Support privacy, information security, regulatory, risk, and compliance requirements, including audits, governance reviews, risk assessments, control mapping, issue documentation, mitigation tracking, evidence gathering, and continuous compliance monitoring.
Support data retention and lifecycle management requirements, including retention schedules, records classification, legal hold considerations, disposition processes, and evidence of compliance.
Support DSPM activities, including sensitive data discovery, classification, access exposure analysis, control monitoring, and risk remediation tracking.
Support AI Governance requirements, including responsible AI use, AI use case intake, model and data risk, documentation, oversight, monitoring, and alignment with recognized frameworks.
Partner with data owners, stewards, custodians, business stakeholders, and technical teams to define governance requirements, accountabilities, and practical standards.
Facilitate cross-functional discussions to resolve governance issues, align priorities, and support decision-making.
Support training, communications, and change enablement to empower teams with the awareness, responsibilities, tools, and processes needed to apply governance effectively.
Identify opportunities to simplify, automate, or improve governance processes, reporting, data quality monitoring, control evidence collection, and compliance monitoring.
Support the implementation and adoption of new governance technology capabilities, including process design, workflow development, governance automation, tool enablement, control monitoring, and operational rollout.
Contribute to governance maturity assessments, roadmap planning, and continuous improvement of governance practices and tools.