Manager, Data & AI Governance & Enablement
Role Overview
Accountable for designing, implementing, and improving enterprise data and AI governance capabilities.
Leads the Data & AI Governance & Enablement team and embeds governance in business processes, delivery practices, platforms, and decisions.
Partners with business leaders, data owners, Technology, Legal, Privacy, Cybersecurity, and delivery teams to support responsible, compliant use of data and AI.
Key Skills for This Role
Full Job Posting
Position overview
Accountable for designing, implementing, and improving enterprise data and AI governance capabilities.
Leads the Data & AI Governance & Enablement team and embeds governance in business processes, delivery practices, platforms, and decisions.
Partners with business leaders, data owners, Technology, Legal, Privacy, Cybersecurity, and delivery teams to support responsible, compliant use of data and AI.
Data governance
- Evolve the enterprise data governance framework, roadmap, standards, and operating model; drive data ownership and stewardship.
- Embed governance requirements in processes and controls; coordinate governance forums, escalations, exceptions, metrics, and reporting.
- Define data quality standards, measurement, monitoring, and improvement practices; establish metadata, lineage, and business glossary practices.
- Operationalize classification, handling, protection, retention, archival, disposal, access, sharing, and lifecycle requirements.
- Oversee enterprise data use and sharing, supporting owners and stewards in managing risks and obligations.
AI governance and compliance
- Define and operationalize the enterprise AI governance framework and integrate it into intake, procurement, delivery, and risk processes.
- Coordinate AI assessments, risk classifications, multidisciplinary reviews, approvals, exceptions, and escalations.
- Govern AI use cases, model risk, fairness, explainability, transparency, human oversight, responsible AI, documentation, and lifecycle monitoring.
- Monitor emerging data, AI, and regulatory requirements; translate obligations into practical controls and support audit readiness.
Enablement, tools, and team leadership
- Coordinate enterprise AI literacy and provide stakeholders with guidance, templates, tools, and self-service resources.
- Lead governance tooling and establish measures, dashboards, scorecards, and executive reporting on risks, controls, adoption, and value.
- Build, lead, coach, and develop the team; set priorities and performance expectations and manage capacity, vendors, and delivery commitments.
Qualifications
- Bachelor’s degree in business, technology, information management, data management, computer science, or a related field.
- At least 8 years of progressive experience in data or AI governance, regulatory compliance, data or information management, risk management, or related leadership roles.
- Experience designing and implementing enterprise governance frameworks, policies, standards, controls, and operating models.
- Experience operationalizing data ownership, stewardship, quality, classification, metadata, lineage, and lifecycle management.
- Experience implementing AI governance, including intake, risk assessment, approvals, inventory, documentation, and control monitoring.
- Experience partnering with Legal, Privacy, Cybersecurity, Technology, and business teams; leading change, enablement, literacy, adoption, and teams.
- Advanced degrees are an asset; relevant professional certifications are preferred.
Work arrangement
- The position requires in-person collaboration up to five days a week; this arrangement may change based on business requirements.
Benefits
- WestJet offers a competitive total rewards package, travel privileges for employees and family, and flexible savings and benefit programs.
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