Project:

Artificial Intelligence Delivery and Enablement (AIDE)

Location:

Edmonton, Alberta, Canada

Work Arrangement:

Remote within Alberta; onsite attendance required when requested

Positions:

3

Maximum Rate:

CAD $100-110 per hour

Expected Interviews:

Approximately two weeks after the posting closes

Contract Hours:

1,783.50 hours

Work Schedule:

36.25 hours per week, Monday to Friday, 8:15 AM-4:30 PM Alberta time

PMP Certification:

Mandatory

Project Overview The Government of Alberta's Artificial Intelligence Delivery and Enablement (AIDE) branch leads the adoption, implementation, and responsible use of artificial intelligence to improve productivity, decision-making, and public service delivery.

The Senior IT Project Manager will lead and coordinate enterprise AI enablement projects across multiple ministries. The role covers enterprise AI licensing and consumption, cloud platform and integration, governance and security, and training and adoption.

The successful candidate will manage multiple concurrent projects, coordinate cross-functional teams and vendors, oversee project schedules, budgets, risks and dependencies, and guide AI capabilities from pilot evaluation through governed enterprise deployment and operational handover.

Key Responsibilities 1. Project Management and Governance Develop project charters, business cases, project plans, schedules, budgets, resource estimates, and delivery strategies.

Manage project scope, milestones, deliverables, risks, issues, assumptions, dependencies, and interdependencies.

Coordinate multiple concurrent projects across different directors, sponsors, ministries, and delivery teams.





Monitor project progress and implement corrective actions to ensure successful delivery.

Prepare project status reports, executive briefings, recommendations, and steering committee presentations.

Establish project governance, roles, responsibilities, escalation procedures, and reporting standards.

Ensure alignment with enterprise architecture, organizational priorities, project management office standards, and business objectives.

2. Enterprise AI Licensing and Consumption Management Plan and manage enterprise AI licence allocation, provisioning, reassignment, reclamation, and lifecycle management across ministries.

Coordinate enterprise AI solutions, including Microsoft 365 Copilot, Copilot Studio, Google Gemini Enterprise, Claude Enterprise, and other approved AI platforms.

Manage licence allocation models, quotas, ServiceNow request workflows, and provisioning processes.

Coordinate chargeback, cost-recovery, and consumption-based financial management with finance, procurement, vendors, and ministry stakeholders.

Establish reporting on licence utilization, AI consumption, expenditure, and adoption.

Provide recommendations to senior leadership regarding licence demand, cost transparency, utilization, and resource allocation.

3.



AI Cloud Platform and Integration Manage cloud and platform enablement projects involving Microsoft 365, Microsoft Azure, Google Cloud, SaaS platforms, and AI service integrations.

Coordinate cloud setting provisioning, landing zones, sandbox environments, API enablement, and hybrid or on-premises integrations.

Oversee identity and access management, data connectors, grounding sources, and integration with existing business applications.

Coordinate technical teams and vendors to deliver secure, scalable, and supportable AI capabilities.

Manage platform lifecycle changes, model deprecation, migration activities, and associated communication plans.

Coordinate monitoring, operational documentation, support models, and transition to ongoing operations.

4. Governance, Security, Privacy and Compliance Coordinate project intake, assessment, prioritization, and approval processes.

Work with security, privacy, legal, procurement, and enterprise architecture teams to obtain the necessary approvals.

Coordinate Security Threat and Risk Assessments (STRAs), Privacy Impact Assessments (PIAs), and information classification and data-residency reviews.

Ensure compliance with responsible AI standards, security controls, privacy requirements, data protection obligations, and applicable government policies.

Manage User Acceptance Testing (UAT), release-readiness reviews, risk mitigation, and deployment approvals.

Document compliance requirements, decisions, risks, and mitigation measures throughout the project lifecycle.

5. Training, Adoption and Change Management Develop and coordinate organizational change management and communication plans for enterprise AI rollout

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