Senior Data Governance Analyst

tera; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Teranet in Toronto is seeking a Senior Data Governance Analyst to help mature enterprise data governance, risk, and AI governance across business and technology teams. You will work with data owners, privacy, security, analytics, and architecture to implement policies and controls that ensure trusted data and compliant practices throughout its lifecycle.

This role focuses on metadata, data catalogs, DSPM, retention, and governance enablement, translating policy requirements into practical

Qualifications

• You understand business context and data governance concepts.

Responsibilities

• Support operation and maturation of Teranet’s Data and AI Governance Program, including forums, metrics, and reporting.
• Develop, review, and operationalize governance policies, standards, controls, procedures, and stewardship practices.
• Translate policy, risk, data management, and business requirements into practical workflows and procedures.

Skills

Data governance

Stakeholder engagement

Policy translation

Job description

Senior Data Governance Analyst

Who We Are

Teranet is Canada's leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property and data solutions, as well as practice management automation to thousands of customers in real estate, financial services, government, utilities, and legal markets.

Connect. Grow. Thrive Together.

To learn more about who we are visit our website: www.teranet.ca

About the Role

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.

What You'll Be Doing

Governance Program and Operating Model

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.

Metadata , Catalog , and Data Enablement

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.

Risk, Compliance, Retention, DSPM, and AI Governance

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.

Stakeholder Engagement and Stewardship

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.

Process Improvement and Enablement

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.

About You

What will you need to be successful?

You are someone who:

Understands the business context - you take the time to understand business objectives, data needs, risks, and decision-making