Senior Enterprise IT and AI Project Manager

Job Title: Senior Enterprise IT and AI Project Manager

Job Location: Edmonton, AB

Job Type: Contract

Pay Range: $115.00hr - $120.00hr

Job Overview:

AI Delivery & Enablement (AIDE) leads the organization s adoption, delivery, and responsible use of artificial intelligence to enhance productivity, improve decision-making, and support better outcomes. AIDE s approach rests on three mutually reinforcing pillars: capability building through an AI Academy; governed enterprise AI tools deployed under a unified access, training, and compliance model; and an operational delivery model that supports both new AI application builds and sustainment of live AI services. The candidate will report to the AIDE Executive Director and lead AI enablement projects across the branch, spanning enterprise licence management, cloud platform integration, governance alignment, and change management.

Scope:

The candidate will report to the AIDE Executive Director and will be assigned to directors as priorities require. The successful candidate will lead and support AI enablement projects across the branch, including:

• Rolling out and managing enterprise AI licences, consumption and cost recovery across ministries.
• Delivering the AI cloud platform, integration and access work that AI tools depend on.
• Aligning projects with governance, security, privacy and intake requirements.
• Supporting training, adoption and change management with organization champions.

Work Streams:

This role spans four connected work streams. The Project Manager may lead projects in one or more of them, depending on branch priorities. Enterprise AI licence and consumption enablement involves planning and delivering the rollout, allocation and lifecycle management of enterprise AI licences across the department and broader organization. This includes Microsoft 365 Copilot, Copilot Studio, Microsoft 365 Copilot Cowork, Google Gemini Enterprise (including Gemini Notebook) and Claude Enterprise, as well as additional providers, models and agents added to the approved catalogue. The work covers:

• Allocation models and quota management.
• ServiceNow request and provisioning workflows.
• Chargeback and cost-recovery mechanisms.
• Reassignment and reclamation of underused licences.
• Reporting on utilization, consumption and spend that supports adoption targets and cost transparency.

AI Cloud Platform and Integration:

Planning and delivering the platform and integration work that enterprise AI depends on. This includes Microsoft 365 and Azure tenant services, Google Cloud landing zones and project provisioning, sandbox and lab environments, on-premises and hybrid service integration, and direct-to-provider AI model access and API enablement.

• Identity and access configuration.
• Data connector and grounding-source enablement.
• Integration of AI services into existing business systems.
• Monitoring of AI services and agents.
• Model lifecycle and deprecation migrations.
• Transition of new capabilities into ongoing operations.

Governance, Security, Privacy and Intake Alignment:

Ensuring every project moves through the branch s intake, assessment and approval pathway and meets organizational requirements before a capability is released to users.

• Coordinating Security Threat and Risk Assessments (STRAs) and Privacy Impact Assessments (PIAs).
• Aligning with information-classification and data-residency requirements.
• Applying the branch s responsible AI standards and guardrails.
• Working with privacy, security, legal, enterprise architecture and procurement partners to obtain the approvals each project needs.

Training, Adoption and Change Management:

Planning the people side of each rollout so that capabilities are used safely and effectively once enabled.

• Coordinating with the AI Academy on role-based training and learning pathways.
• Working through the AI Delivery and Enablement Champion network and leadership on adoption planning and use-case identification.
• Developing user guidance, communications and support pathways.
• Tracking training completion and adoption against targets.

Pilots to Governed Enterprise Service:

A recurring pattern across all four streams is moving capabilities from evaluation to governed enterprise service. This means taking an assessed request through intake and standing up a time-boxed pilot with a defined user cohort. It then means collecting use cases and feedback, and confirming that the platform is ready and that security and privacy approvals are in place. Cost, licensing and catalogue treatment are determined, and the end-to-end request, training and support experience is established. The pilot closes with a recommendation on enterprise enablement and handoff to operations.

The Project Manager will review and understand departmental and corporate policies, business rules, data requirements, information management and security classification obligations, responsible AI standards, and supporting system processes. The successful candidate will ensure project objectives and schedules align with organization and branch priorities. The candidate will report to the AIDE Executive Director and may support several directors and sponsors at once, managing shifting priorities and dependencies across projects. The candidate will provide recommendations, including resource requirements, dependencies, interdependencies, policy implications pertaining to internal and external influences, and the methodology to be applied.

The candidate will have working knowledge and experience of enterprise IT and cloud environments, including Microsoft 365, Azure and Google Cloud services, SaaS licensing and tenant administration concepts, cloud subscription and consumption models, identity and access management, and a general understanding of line-of-business applications and architectures. Familiarity with generative AI and agentic AI concepts is required, such as assistants, agents, grounding, model selection, responsible AI risks, and token- or consumption-based cost drivers. The candidate must have a sound understanding of:

• IT change and communication management.
• User Acceptance Testing frameworks.
• Security and privacy assessment processes (STRA and PIA).

Candidate Qualifications Summary:

The candidate must have experience delivering change into large, federated organizations where adoption depends on distributed business champions rather than direct authority.

Strong verbal and written communication skills are essential, including the ability to produce material suitable for executive and ministerial audiences. A proven ability to function independently and in a team environment is essential. Awareness of organizational IT policies, procedures, standards, guidelines and practices, and of vendor licensing and procurement constructs, is an asset.

Duties:

Responsible for the coordination and completion of AI enablement projects across licensing and consumption, cloud platform and integration, governance and security, and training and adoption. Oversees all aspects of assigned projects. Sets deadlines, assigns responsibilities, monitors and summarizes progress, and prepares reports for senior management on project status. Builds and maintains working relationships with branch directors, team members, vendors, ministries and other partners.

Project Leadership and Governance:

• Compile project charters and business/project plans, including the most suitable approach for each project, to ensure business objectives, cost transparency and data integrity are achieved.
• Collaborate with business and IT leadership to develop a well-defined project plan stating objectives, scope, assumptions, timeline, resource requirements, risks, benefits and budget.
• Manage multiple concurrent projects for different directors and sponsors, balancing shifting priorities, shared resources and cross-project dependencies, and escalating conflicts to the Executive Director as required.
• Work with project sponsors and the project management office to develop a project organization structure with clearly defined roles and responsibilities for all stakeholders.
• Develop project schedule plans and strategies, estimate resource requirements, develop and monitor work plans, and take corrective action for completion of project tasks.
• Document and report project status against established objectives, milestones, budget and resources, and facilitate tracking and closure of issues and risks.
• Provide guidance to project resources in establishing work priorities and prompt delivery of project tasks.
• Work within the standards defined by the project management office and, in the absence of standards, work with the project management office to define new standards.

Enterprise AI Licence and Consumption Enablement:

• Plan and manage the rollout, allocation and lifecycle of enterprise AI licences across ministries. This includes allocation models, quota tracking, bulk provisioning through ServiceNow, licence reassignment and reclamation, and management of demand that exceeds available allocation.
• Manage the development and implementation of chargeback and cost-recovery mechanisms for AI licences and consumption-based services, in coordination with finance, procurement and stakeholders.
• Support the onboarding of new providers, models and agents to the approved catalogue, including licensing terms, cost treatment and provisioning requirements.
• Establish and maintain reporting on licence utilization and consumption/spend, translating that reporting into recommendations for leadership.

AI Cloud Platform and Integration Duties:

• Plan and manage integration and enablement work across cloud, on-premises and direct-to-provider AI platforms. This includes environment, sandbox and landing zone provisioning, API and service enablement, identity and access configuration, and connector/data-source onboarding.
• Manage projects that document business requirements and design and deliver AI and cloud solutions that comply with, and contribute to, enterprise architecture, security and privacy requirements.
• Manage model and platform lifecycle activities, including vendor-driven deprecation and migration events. Coordinate the technical and communication response required to avoid service disruption or unplanned cost increases.
• Plan the transition of new capabilities into ongoing operations, including support models, monitoring, operating documentation and handoff to operations teams.
• Coordinate with vendors and delivery partners on deployment schedules, support models, training delivery, and licensing and consumption commitments.

Governance, Security, Privacy and Intake Alignment Duties:

• Work through the branch intake and assessment process to confirm each project s scope, value, risk and priority before initiation.
• Coordinate Security Threat and Risk Assessments (STRAs), Privacy Impact Assessments (PIAs), and information-classification and data-residency reviews. Obtain the approvals required from security, privacy, legal and enterprise architecture partners before a capability is released.
• Apply the branch s responsible AI standards and guardrails to project design, testing and release, and document how identified risks are addressed.
• Plan and coordinate User Acceptance Testing and release-readiness reviews to confirm capabilities meet functional, security and privacy requirements.

Training, Adoption and Change Management Duties:

• Coordinate with the AI Academy to plan role-based training and learning pathways for each rollout, including vendor-supported training.
• Coordinate with the AI Delivery and Enablement Champion network and leadership to support allocation decisions, adoption planning, use-case identification and escalation of specific needs.
• Develop requirements documentation, user-facing guidance, support pathways and knowledge articles required for a capability to be released as a supported service.
• Provide leadership and assistance to business and project teams that require change management and communication support.
• Track training completion and adoption against targets, and recommend actions where uptake is below expectations.
• Capture lessons learned and successful approaches from each rollout so they can be reused across the organization.

Pilots to Governed Enterprise Service Duties:

• Plan and manage pilots of emerging AI capabilities from intake through to a recommendation on enterprise enablement. This includes cohort selection, vendor-supported training, use-case capture, evaluation criteria, and determining cost and governance treatment.

Reporting and Stakeholder Management:

• Produce and package deliverables for presentation to internal support teams, steering committees, executive and ministerial audiences, and other project stakeholders.
• Develop recommendations including details of resource requirements, dependencies, interdependencies, policy implications and the methodology to be applied.
• Work with project sponsors to ensure effective project communication exists for the duration of the project, including escalation of risks as required.
• Take responsibility for ongoing client satisfaction, including managing peer-level relationships and overcoming hurdles to ensure win-win solutions.
• In collaboration with project sponsors, assess whether the project achieved stated outcomes and identify opportunities for improvement for future similar projects.

Must Have:

The proposed candidate must meet or exceed one of the following education/experience combinations:

• University graduation in business, management or related discipline, and 4+ years of Project Management (PM) experience.
• Two-year diploma in business, management or related discipline and 6+ years of PM experience.
• One year certificate in business, management or related discipline and 7+ years of PM experience.
• 8+ years of PM experience.
• PMI Project Management Professional (PMP) certification.
• 8+ years of experience developing project schedule plans and strategies, estimating resource requirements, and developing and monitoring work plans for completion of project tasks.
• 8+ years of experience identifying, analyzing and managing project risks on large, complex projects.
• 2+ years of experience implementing large scale cloud-based projects and services related to AI service enablement and integration.
• 3+ years of experience with Microsoft 365 implementation projects including multiple Office 365 products and requirements.

Nice to Have:

• 1+ years of experience delivering generative AI or agentic AI tools in an enterprise environment (e.g., Microsoft 365 Copilot, Copilot Studio, Google Gemini Enterprise, Claude Enterprise).
• 5+ years of experience developing and delivering communications and presentations at multiple levels of an organization (e.g., Executive Management, Program Sponsors, Steering Committee, Branch Managers, End Users).
• 2+ years of experience implementing chargeback, cost-recovery or consumption/spend reporting for cloud or SaaS services.
• 4+ years of experience in understanding the impact of policies, processes and procedures on performance.
• 5+ years of experience leading large enterprise-scale projects and programs.
• 3+ years of experience leading organizational change management and user adoption for enterprise technology rollouts, including training programs and business champion networks.
• 2+ years of experience managing technology pilots or proofs of concept from evaluation through to production or enterprise service.
• 3+ years of experience planning and coordinating User Acceptance Testing for enterprise technology implementations.
• 2+ years of experience planning and managing the rollout, allocation and lifecycle of enterprise software or SaaS licences, including request and provisioning workflows (e.g., ServiceNow).
• 2+ years of experience with applying security controls in project solutions and designs including STRA and PIA.
• 5+ years of experience with process improvement, documentation and requirement gathering.
• 5+ years of experience working in or for the public sector.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities