Manager, Data & AI Governance & Enablement
- Calgary, AB, Canada
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Original job description
This position requires in-person collaboration up to five days a week. This arrangement is subject to change based on business requirements.
Why WestJet:
Since our story took off in 1996, WestJet has strived to enrich the lives of everyone in our world; a career with us is no exception. We’re proud to be one of Canada’s most admired and respected corporate cultures and continuously aim for the highest standards of service and success.
Join us, this is where your career story takes off.
Position Overview:
The Manager, Data & AI Governance & Enablement is accountable for designing, implementing, and continuously improving WestJet's enterprise data and AI governance capabilities. The role turns governance requirements into practical processes, tools, controls, and guidance that support the responsible use of data and AI.
The Manager leads the Data & AI Governance & Enablement team and is responsible for activating governance, ensuring requirements are embedded into business processes, delivery practices, platforms, and decision-making rather than existing only as policies or documentation. The role partners closely with business leaders, data owners, technology teams, Legal, Privacy, Cybersecurity, and delivery teams to establish clear accountabilities, improve trust in data, govern AI use, and enable responsible innovation.
The position supports the enterprise objective of helping WestJet use data and AI safely, effectively, and with confidence while maintaining compliance with applicable legal, regulatory, and internal requirements.
Key Responsibilities:
- Evolve and improve the enterprise data governance framework, roadmap, standards, and operating model
- Drive adoption of data ownership and stewardship accountabilities across business domain
- Integrate data governance requirements into existing ways to work, enhancing processes and controls to ensure governance practices are practical, scalable and consistently applied
- Coordinate governance forums, issue escalation processes, exception management, metrics, and reporting
- Drive continuous improvement of governance capabilities through measurable outcomes and maturity advancement
- Define enterprise data quality dimensions, standards, measurement frameworks, monitoring practices, and improvement expectations.
- Establish governance practices for metadata, lineage, and business glossary management.
- Partner with Cybersecurity and business stakeholders to operationalize data classification, handling, and protection requirements, embedding them into technology platforms, delivery processes, and day-to-day operations.
- Ensure data retention, archival, and disposal requirements are translated into practical processes, controls, and system capabilities that are consistently applied across the organization.
- Drive adoption of lifecycle management practices that improve trust, consistency, accountability and regulatory compliance across enterprise data assets.
- Operationalize data use guardrails and decision rights across the enterprise
- Embed governance requirements for data access, sharing, and consumption into business and technology processes.
- Provide governance oversight of enterprise data use and sharing practices, supporting data owners and stewards in managing domain-specific risks and obligations
- Partner with Privacy, Cybersecurity, business, and technology teams to drive consistent adoption of governance practices.
- Define and operationalize the enterprise AI governance framework.
- Integrate AI governance into existing intake, procurement, delivery, and risks processes, ensuring AI-enabled initiatives are identified and routed through appropriate AI reviews and controls
- Govern AI use cases, model risk, fairness, explainability, transparency, human oversight, and responsible AI requirements.
- Coordinate AI assessments, risk classification, multidisciplinary review, approvals, exception management, and issue escalation for AI-enabled initiatives and solutions
- Maintain oversight of enterprise AI systems, governance evidence, documentation requirements, and lifecycle monitoring
- Provide governance oversight for internally developed and third-party AI solutions, automated decision-making capabilities, and emerging AI technologies.
- Monitor emerging data governance, AI governance, and regulatory requirements in partnership with Privacy and Legal teams
- Translate regulatory obligations into practical controls and business practices embedded within existing processes, where possible.
- Assess governance implications of new technologies, vendor solutions, data initiatives, and AI investments.
- Support audit readiness, governance reporting, control monitoring, and continuous improvement of governance practices.
- Develop and coordinate the execution of the enterprise AI literacy strategy in partnership with HR, Communications, and Technology teams.
- Equip data owners, stewards, product teams, and business stakeholders with practical guidance, templates, tools, and self-service resources.
- Drive adoption of governance practices by connecting requirements to business outcomes, delivery processes, and employee experience.
- Promote a culture of responsible data and AI use across the organization.
- Lead the implementation and continuous improvement of governance tooling and platforms.
- Establish reporting and performance measures that provide visibility into governance obligations, decisions, risks, controls, adoption, and AI value realization.
- Develop dashboards, scorecards, and executive reporting to support governance oversight and track value delivered through data and AI investments.
- Build, lead, coach, and develop a high-performing team responsible for data governance, AI governance, and enablement activities.
- Establish clear priorities, goals, performance expectations, and development plans for team members.
- Foster a culture of accountability, collaboration, continuous improvement, and responsible innovation.
- Provide mentorship and professional development opportunities that strengthen governance, risk, data, and AI capabilities across the team.
- Manage team capacity, work prioritization, vendor relationships, and delivery commitments.
Qualifications
- Bachelor’s degree in business, technology, Information Management, Data Management, Computer Science, or a related field.
- Advanced degrees are considered an asset.
- Relevant professional certifications in data governance, information management, AI governance, risk management, compliance, or related disciplines are preferred.
- 8+ years of progressive experience across data governance, AI governance, regulatory compliance, data management, 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, data quality, classification, metadata, lineage, and lifecycle management capabilities.
- Experience implementing AI governance practices, including use-case intake, risk assessment, approvals, inventory management, governance documentation, and control monitoring
- Experience partnering with Legal, Privacy, Cybersecurity, Technology, and business teams to operationalize governance requirements.
- Experience leading organizational change, enablement programs, literacy initiatives, and adoption efforts.
- Experience leading and developing high-performing teams.
The benefits of being a WestJetter:
WestJet provides all WestJetters with a competitive total rewards package. On top of that, we offer:
- A fun and friendly culture with colleagues who work together to win
- Travel privileges for you and your family, effective from your start date
- Savings and Benefit programs that are flexible to meet your specific needs
Think we’re a great fit? Apply now!
About WestJet Group of Companies
WestJet took to the skies in 1996 with just over 200 employees and three aircraft operating service to five destinations. Since then, WestJet has pioneered low-cost travel in Canada, cutting airfares in half, and increasing the flying population in Canada by more than 50 per cent. Since the Sunwing Airlines integration in 2025, more than 15,000 WestJetters support nearly 200 aircraft and connect guests to our global network of more than 100 destinations across North America, Central America, the Caribbean, Europe and Asia. The WestJet Group is a major Canadian employer and includes WestJet Airlines, WestJet Encore and Sunwing Vacations Group. We’re Canada’s leading value airline and largest vacation provider, with a united purpose of providing affordable and accessible air and vacation travel to Canadians.
Our safety promise
At WestJet, the safety and security of our people and our guests is a core value and at the heart of what we do. Safety and security are shared responsibilities all team members are expected to use safe work practices to ensure their well-being and the safety of others. WestJet recognizes that the use of Alcohol and Drugs can adversely impact a safe work environment and the well-being of others including guests, suppliers and the public, as well as place WestJet's operations at risk. All roles that are identified as Safey-Sensitive are required to pass a Pre-Employment Alcohol and Drug Test as per WestJet's Alcohol and Drug Policy.
Our commitment to diversity, equity and inclusion
We embrace what makes each of us unique, and what makes us uniquely WestJet. We welcome diverse skills, experiences and backgrounds so if you're passionate about this role, we encourage you to apply – even if you don't meet every qualification listed. WestJet is committed to inclusiveness, equity and accessibility throughout the selection process. If you require accommodation at any stage, please contact our Talent Acquisition team at talent@westjet.com.
We value the time and effort you put into your application. Our recruitment process is highly competitive and while every applicant will receive communication regarding their application status, only those selected to move forward will be contacted with next steps. If this role isn’t the right fit, we encourage you to explore future opportunities with us.
For more information about everything WestJet, please westjet.com/aboutus.
If you wish to withdraw your application or request that your personal information be deleted, please contact us at talent@westjet.com.
More about this job
Responsibilities
The Manager, Data & AI Governance & Enablement is responsible for designing and implementing enterprise-wide data and AI governance frameworks. This role leads a team to operationalize governance requirements into practical processes, tools, and controls to ensure responsible innovation and regulatory compliance.
Requirements
Candidates must have a bachelor's degree in a relevant field and at least 8 years of progressive experience in data or AI governance and risk management. Strong expertise in implementing governance frameworks, operationalizing data ownership, and leading cross-functional teams is required.
Skills
- Data governance
- AI governance
- Data management
- Regulatory compliance
- Risk management
- Information management
- Data quality
- Metadata management
- Change management
- Strategic planning
- Leadership
- Stakeholder management
- Policy development
- AI ethics
- Data lifecycle management
Benefits
- Travel privileges
- Savings programs
- Benefit programs
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Management & Leadership
- Technology
- Software
- Consulting
Keywords
- Data Governance
- AI Governance
- Data Management
- Information Management
- Regulatory Compliance
- Risk Management
- Data Quality
- Metadata
- Data Lineage
- Business Glossary
- Cybersecurity
- Privacy
- AI Ethics
- Model Risk
- Change Management
- Data Stewardship
- Data Lifecycle
- Governance Framework
- Operating Model
- Performance Metrics
- Executive Reporting
- AI Literacy
- Vendor Management
- Internal Audit
- Data Protection
- Responsible AI
- Technology Strategy
- Business Process Improvement
- Cross-functional Leadership
- Data Ownership