The Senior Data Governance Analyst supports the maturation of Teranet’s Data and AI Governance Program by developing policies, standards, and controls. This role partners with cross-functional stakeholders to operationalize governance workflows, manage metadata, and ensure continuous compliance across data platforms.

Requirements

Candidates must hold a bachelor’s degree in a relevant field and possess at least 5 years of experience in data governance, management, or architecture. Proficiency in data tools and familiarity with governance frameworks like DAMA-DMBOK or NIST AI RMF is required.

Experience

5 to 10 years

Education

bachelor degree

Working hours

40 hours per week

Job type

Full-time

Work arrangement

On-site

Skills

Data Governance
Data Management
Data Architecture
Risk Management
Compliance
Metadata Management
Data Cataloging
SQL
Python
Spark
Power BI
Tableau
Microsoft Purview
Collibra
AI Governance
Data Quality

Benefits

Health Benefit Plan
Retirement Savings Plan
Paid Vacation
Floater Days
Sick Leaves
Maternity Leave
Parental Leave
Adoption Leave
Corporate Discounts
GoodLife Group Rate Membership
Employee Assistance Program

Minimum pay

110000

Maximum pay

132000

Pay currency

CAD

Pay period

YEAR

Visa sponsorship

Not detected in the job text

Keywords

Data Governance
AI Governance
Metadata Management
Data Catalog
Data Quality
Compliance
Risk Assessment
SQL
Python
Spark
Power BI
Tableau
Microsoft Purview
Collibra
Informatica
Atacama
DAMA-DMBOK
DCAM
ISO/IEC 27001
NIST AI RMF
ISO/IEC 42001
DSPM
Data Lifecycle Management
Data Architecture
Data Analytics
Information Security
Privacy
Regulatory Compliance
Stewardship
Automation

Original 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 processes so governance is practical, relevant, and value-driven.
Brings a balanced risk mindset – you can identify data quality, privacy, security, retention, AI, and compliance risks while applying proportionate, business-aware solutions.
Connects governance to outcomes – you translate policies, standards, controls, and data requirements into clear processes, practical guidance, and measurable improvements that simplify governance, embed it into business practices, and empower better decision-making.
Embraces technology-enabled governance – you are curious about new tools, automation, metadata, catalog, DSPM, AI Governance, and continuous compliance capabilities, and can help turn them into sustainable operating practices.
Solves problems methodically – you can connect the dots, ask thoughtful questions, analyze complex issues, and develop workable solutions with the right level of structure and judgment.
Builds trust through quality – you are diligent, detail-oriented, and take pride in producing reliable, well-documented, and audit-ready work.
Learns quickly and stays curious – you are resourceful, adaptable, and proactive in learning new data, governance, risk, and technology concepts.
Communicates clearly and collaboratively – you can explain complex governance topics in simple terms, facilitate alignment across teams, and build productive relationships with business and technical stakeholders.

Technical qualifications:

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, Ataccama, 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.
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.

Let’s Talk Pay

We believe in being upfront about pay and helping you make informed decisions about your career. The annual pay range for this role is $110,000 - $132,000 CAD, inclusive of base salary and target incentive pay. We understand that great talent comes in many forms, each with unique skills, experience, and potential. Your salary will be tailored to reflect the experience you bring and the impact you’re ready to have on this role.

At Teranet, we also know that compensation extends far beyond a pay cheque. Along with your cash compensation, we offer a comprehensive package which includes the following:

100% Employer Paid Health Benefit Plan
Employer Matching Retirement Savings Plan
Paid Vacation, Floater Days & Sick Leaves
Maternity, Parental and/or Adoption Leave Top-Up Programs
Corporate Discounts & GoodLife Group Rate Membership
Employee Assistance Program – for you and your loved ones!

Our Human Approach to Hiring

At Teranet, we use smart technology to make hiring faster and more efficient. Artificial Intelligence (AI) tools help us review applications and identify strong matches - but the real decisions? Those are made by our awesome people.

Every interaction you’ll have, and every decision we make, is led by humans. AI may support us, but it’s human connection that drives every hire.

At Teranet, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation during the recruitment and selection process, please let us know and we will work with you to meet your needs.

Come As You Are. We Like You That Way!

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Details last changed Sep 15, 2026. About these details

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