{"id":3081005,"url":"https://alion.io/job/westjet-manager-data-ai-governance-enablement","title":"Manager, Data & AI Governance & Enablement","company":{"id":1761923,"name":"WestJet","domain":"westjet.com","url":"https://alion.io/company/westjet-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Calgary, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":114000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":257},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[],"status":"live","first_seen_at":"2026-10-13T05:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T15:24:48Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Position Overview: \nThe 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. \nThe 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.\nThe 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.\n\nKey Responsibilities: \nEvolve and improve the enterprise data governance framework, roadmap, standards, and operating model\nDrive adoption of data ownership and stewardship accountabilities across business domain\nIntegrate data governance requirements into existing ways to work, enhancing processes and controls to ensure governance practices are practical, scalable and consistently applied\nCoordinate governance forums, issue escalation processes, exception management, metrics, and reporting\nDrive continuous improvement of governance capabilities through measurable outcomes and maturity advancement\nDefine enterprise data quality dimensions, standards, measurement frameworks, monitoring practices, and improvement expectations.\nEstablish governance practices for metadata, lineage, and business glossary management.\nPartner 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. \nEnsure data retention, archival, and disposal requirements are translated into practical processes, controls, and system capabilities that are consistently applied across the organization.\nDrive adoption of lifecycle management practices that improve trust, consistency, accountability and regulatory compliance across enterprise data assets.\nOperationalize data use guardrails and decision rights across the enterprise\nEmbed governance requirements for data access, sharing, and consumption into business and technology processes.\nProvide governance oversight of enterprise data use and sharing practices, supporting data owners and stewards in managing domain-specific risks and obligations\nPartner with Privacy, Cybersecurity, business, and technology teams to drive consistent adoption of governance practices.\nDefine and operationalize the enterprise AI governance framework.\nIntegrate AI governance into existing intake, procurement, delivery, and risks processes, ensuring AI-enabled initiatives are identified and routed through appropriate AI reviews and controls\nGovern AI use cases, model risk, fairness, explainability, transparency, human oversight, and responsible AI requirements.\nCoordinate AI assessments, risk classification, multidisciplinary review, approvals, exception management, and issue escalation for AI-enabled initiatives and solutions\nMaintain oversight of enterprise AI systems, governance evidence, documentation requirements, and lifecycle monitoring\nProvide governance oversight for internally developed and third-party AI solutions, automated decision-making capabilities, and emerging AI technologies. \nMonitor emerging data governance, AI governance, and regulatory requirements in partnership with Privacy and Legal teams\nTranslate regulatory obligations into practical controls and business practices embedded within existing processes, where possible.\nAssess governance implications of new technologies, vendor solutions, data initiatives, and AI investments.\nSupport audit readiness, governance reporting, control monitoring, and continuous improvement of governance practices.\nDevelop and coordinate the execution of the enterprise AI literacy strategy in partnership with HR, Communications, and Technology teams. \nEquip data owners, stewards, product teams, and business stakeholders with practical guidance, templates, tools, and self-service resources.\nDrive adoption of governance practices by connecting requirements to business outcomes, delivery processes, and employee experience.\nPromote a culture of responsible data and AI use across the organization.\nLead the implementation and continuous improvement of governance tooling and platforms.\nEstablish reporting and performance measures that provide visibility into governance obligations, decisions, risks, controls, adoption, and AI value realization.\nDevelop dashboards, scorecards, and executive reporting to support governance oversight and track value delivered through data and AI investments.\nBuild, lead, coach, and develop a high-performing team responsible for data governance, AI governance, and enablement activities. \nEstablish clear priorities, goals, performance expectations, and development plans for team members. \nFoster a culture of accountability, collaboration, continuous improvement, and responsible innovation.\nProvide mentorship and professional development opportunities that strengthen governance, risk, data, and AI capabilities across the team.\nManage team capacity, work prioritization, vendor relationships, and delivery commitments.\n\nQualifications\nBachelor’s degree in business, technology, Information Management, Data Management, Computer Science, or a related field.\nAdvanced degrees are considered an asset.\nRelevant professional certifications in data governance, information management, AI governance, risk management, compliance, or related disciplines are preferred.\n8+ years of progressive experience across data governance, AI governance, regulatory compliance, data management, information management, risk management, or related leadership roles.\nExperience designing and implementing enterprise governance frameworks, policies, standards, controls, and operating models\nExperience operationalizing data ownership, stewardship, data quality, classification, metadata, lineage, and lifecycle management capabilities.\nExperience implementing AI governance practices, including use-case intake, risk assessment, approvals, inventory management, governance documentation, and control monitoring\nExperience partnering with Legal, Privacy, Cybersecurity, Technology, and business teams to operationalize governance requirements. \nExperience leading organizational change, enablement programs, literacy initiatives, and adoption efforts.\nExperience leading and developing high-performing teams.","description_format":"text","description_chars":6950,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Information Security"],"lifecycle":[{"event":"open","at":"2026-10-22T12:09:46Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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