Senior Data Governance Analyst

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.

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 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 DSPM activities, including sensitive data discovery, classification, access exposure analysis, control monitoring, and risk remediation tracking.

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.

Facilitate cross-functional discussions to resolve governance issues, align priorities, and support decision-making.

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.

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.

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.

Technical qualifications:

• Bachelor’s degree in a relevant discipline such as Computer Science, Engineering, Mathematics, Statistics, Business, Data Management, or a related field.

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.

100% Employer Paid Health Benefit Plan

• Employer Matching Retirement Savings 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