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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing enterprise IT projects, particularly in cloud environments, with a focus on AI enablement, licensing, and governance. Proficient in stakeholder engagement, project documentation, and change management to ensure successful adoption and integration of AI solutions.
Highest-signal resume keywords
Senior-Level Project ManagementMicrosoft 365AzureGoogle Cloud ServicesUser Acceptance Testing
ATS Keywords
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Hard Skills
Project ManagementSaaS LicensingIdentity and Access ManagementCloud Subscription ModelsGenerative AI ConceptsChange ManagementSecurity Assessment ProcessesRequirements DocumentationCost-Recovery MechanismsAI Platform Integration
Soft Skills
Excellent Communication SkillsTeam CollaborationIndependent Work
Tools & Technologies
ServiceNowAPIsData Connectors
Industry Keywords
Government of Alberta IT PoliciesVendor LicensingProcurement ConstructsPrivacy AssessmentFederated Organizations
Tech Stack
Tools & technologiesAzureCloudServiceNow
About the role
Key responsibilities & impact- Coordinate and complete AI enablement projects across licensing and consumption, cloud platform and integration, governance and security, and training and adoption
- Oversee all aspects of assigned projects, including deadlines, responsibilities, progress monitoring and senior-management reporting
- Build and maintain relationships with branch directors, team members, vendors, ministries and other partners
- Compile project charters, business plans and project plans
- Collaborate with business and IT leadership to define objectives, scope, assumptions, timelines, resources, risks, benefits and budgets
- Manage multiple concurrent projects for different directors and sponsors while balancing priorities, resources and dependencies
- Develop project schedules, estimate resources, monitor work plans and take corrective action
- Document and report project status against objectives, milestones, budgets and resources
- Plan and manage enterprise AI licence rollout, allocation, quota tracking, ServiceNow provisioning, reassignment and reclamation
- Develop chargeback and cost-recovery mechanisms for AI licences and consumption-based services
- Support onboarding of new AI providers, models and agents to the approved catalogue
- Establish reporting on licence utilization, consumption and spend and provide leadership recommendations
- Manage cloud, on-premises and direct-to-provider AI platform integration, including environments, sandboxes, landing zones, APIs, identity and access, and data connectors
- Manage model and platform lifecycle activities, including deprecation and migrations
- Plan transition of new capabilities into ongoing operations, including support models, monitoring, documentation and handoff
- Coordinate STRAs, PIAs, information classification and data residency reviews
- Obtain security, privacy, legal and enterprise architecture approvals
- Apply responsible AI standards and guardrails to project design, testing and release
- Plan and coordinate User Acceptance Testing and release-readiness reviews
- Coordinate role-based training, adoption planning, use-case identification and change-management support
- Develop requirements documentation, user guidance, support pathways and knowledge articles
- Track training completion and adoption against targets
- Plan and manage pilots from intake through recommendation on enterprise enablement
- Produce deliverables for support teams, steering committees, executive and ministerial audiences
- Manage project communications, risk escalation, client satisfaction, outcome assessment and lessons learned
Requirements
What you’ll need- Senior-level project management experience in enterprise IT and cloud environments
- Working knowledge of Microsoft 365, Azure and Google Cloud services
- Knowledge of SaaS licensing and tenant administration concepts
- Knowledge of cloud subscription and consumption models
- Knowledge of identity and access management
- General understanding of line-of-business applications and architectures
- Familiarity with generative AI and agentic AI concepts, including assistants, agents, grounding, model selection, responsible AI risks, and token- or consumption-based cost drivers
- Sound understanding of IT change and communication management
- Sound understanding of User Acceptance Testing frameworks
- Sound understanding of security and privacy assessment processes, including STRA and PIA
- Experience delivering change in large, federated organizations where adoption depends on distributed business champions
- Excellent written and verbal communication skills, including producing material for Deputy Minister and Minister-level audiences
- Ability to work independently and in a team environment
- Awareness of Government of Alberta and departmental IT policies, procedures, standards, guidelines and practices is an asset
- Familiarity with vendor licensing and procurement constructs is an asset
Benefits
Comp & perks- Remote work arrangement
- Opportunity to support the Government of Alberta's AI adoption and enablement initiatives
