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Director, AI Enterprise Data Governance – T & I
Radio-Canada. Develop, refine, and enforce enterprise-wide data governance policies, directives, and standards aligned with corporate priorities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and enforcing enterprise-wide data governance policies, managing data quality programs, and leading cross-functional teams. Proficient in SQL, data modeling, and utilizing enterprise data governance tools to ensure compliance and enhance data literacy.
Highest-signal resume keywords
Data Governance Program DevelopmentSQL ProficiencyEnterprise Data Governance Tools ExperienceData Quality ManagementBilingualism (English and French)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManagementData GovernanceData ModelingETL/ELT LogicData Lineage TrackingBusiness Glossary DevelopmentData Classification RulesCompliance MonitoringMetadata ManagementData Quality Validation
Soft Skills
CommunicationLeadershipCollaborationChange ManagementInfluencing Stakeholders
Tools & Technologies
CollibraAlationInformaticaPurviewPythonJiraGoogle Cloud PlatformAzureCI/CD PipelinesAPI-based Metadata Harvesting
Industry Keywords
Data Governance PoliciesData StewardshipEnterprise Data CatalogBI/AnalyticsAI/ML PipelinesMatrixed OrganizationGovernance KPIsExecutive DashboardsData LiteracyCode of Conduct
Tech Stack
Tools & technologiesAzureCloudETLGoogle Cloud PlatformInformaticaPythonSQL
About the role
Key responsibilities & impact- Develop, refine, and enforce enterprise-wide data governance policies, directives, and standards aligned with corporate priorities
- Establish data classification rules, access controls, and compliance monitoring with Legal, InfoSec, and Data Engineering
- Define core data concepts and maintain central governance documentation and artifacts
- Oversee implementation of an enterprise data catalog and metadata management processes
- Establish an enterprise data quality program and implement data lineage tracking
- Partner with technology and analytics teams to prepare clean, structured data for BI, reporting, and AI/ML models
- Manage the Enterprise Data Governance Steering Committee
- Lead the Enterprise Data Council and translate strategic directives into policies and actionable initiatives
- Build cross-functional networks of data stewards, owners, custodians, and working groups
- Lead change management, training, and communication programs to improve data literacy
- Influence senior executives and business stakeholders to adopt governance practices
- Build, mentor, and lead a small, high-impact data governance team
- Define, track, and report governance KPIs, including data quality, issue resolution, policy compliance, and user adoption
- Build and maintain executive dashboards reporting program progress and outcomes to leadership
Requirements
What you’ll need- 5+ years of experience in data management, governance, or a related field
- Bachelor’s degree in a relevant field
- Proven experience building and launching enterprise data governance programs
- Experience leading enterprise-grade data catalog / data governance tooling initiatives
- Experience developing and managing a business glossary
- Experience operating in a national, matrixed organization
- Bilingualism (English and French)
- Strong hands-on experience with SQL, data modeling, structured/unstructured data governance, and ETL/ELT logic
- Proficiency with Python, Jira, and workflow mapping tools is a key asset
- Hands-on experience integrating and/or heavily using enterprise data governance tools such as Collibra, Alation, Informatica, or Purview
- Familiarity with major cloud-based data platforms such as Google Cloud Platform or Azure
- Proven track record building and validating data lineage, managing data quality validation/remediation, and creating or overseeing automated scripts for metadata harvesting and validation
- Deep understanding of modern data architectures, cloud data platforms, BI/analytics, and AI/ML pipelines
- Ability to collaborate across technical, product, vendor, and business teams
- Exceptional ability to translate complex technical, architectural, and regulatory concepts into clear, actionable business language
- Familiarity with CI/CD pipelines and API-based metadata harvesting is a nice-to-have
- Ability to understand and communicate the value of data as an asset
- Ability to manage cross-functional teams
- Business and technical requirements documentation skills
- Strong project management and organizational skills
- Excellent communication and facilitation abilities
- Ability to lead by influence and work across teams and business units at varying levels of data governance maturity
- Candidates may be subject to skills and knowledge testing
- Successful candidates must complete a mandatory criminal record check; other background checks may be conducted based on operational requirements
- Employees must adhere to CBC/Radio-Canada’s Code of Conduct
Benefits
Comp & perks- Hybrid work arrangement with a mix of in-office and remote work
- Equal opportunity and inclusive workplace
- Accommodation during the recruitment process
- Mandatory criminal record check and other background checks as required