Senior Enterprise IT and AI Project Manager

html Job Description

Pay Range: $115.00/hr - $120.00/hr

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
• 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 license 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 licenses, 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 License and Consumption Enablement:

Planning and delivering the rollout, allocation, and lifecycle management of enterprise AI licenses across the department and broader organization. This includes:

• Microsoft 365 Copilot, Copilot Studio, Microsoft 365 Copilot Cowork, Google Gemini Enterprise (including Gemini Notebook), Claude Enterprise, and additional providers, models, and agents added to the approved catalog
• Allocation models and quota management
• ServiceNow request and provisioning workflows
• Chargeback and cost-recovery mechanisms
• Reassignment and reclamation of underused licenses
• 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
• 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. This includes:

• 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. This includes:

• 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
• Collecting use cases and feedback
• Confirming that the platform is ready and that security and privacy approvals are in place
• Determining cost, licensing, and catalog treatment
• Establishing the end-to-end request, training, and support experience
• Closing the pilot with a recommendation on enterprise enablement and handoff to operations

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 License and Consumption Enablement:

• Plan and manage the rollout, allocation, and lifecycle of enterprise AI licenses across ministries
• Manage the development and implementation of chargeback and cost-recovery mechanisms for AI licenses and consumption-based services
• Support the onboarding of new providers, models, and agents to the approved catalog
• Establish and maintain reporting on license utilization and consumption/spend

AI Cloud Platform and Integration Duties:

• Plan and manage integration and enablement work across cloud, on-premises, and direct-to-provider AI platforms
• Manage projects that document business requirements and design and deliver AI and cloud solutions
• Manage model and platform lifecycle activities
• Plan the transition of new capabilities into ongoing operations
• 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
• Apply the branch's responsible AI standards and guardrails to project design, testing, and release
• Plan and coordinate User Acceptance Testing and release-readiness reviews

Training, Adoption, and Change Management Duties:

• Coordinate with the AI Academy to plan role-based training and learning pathways for each rollout
• Coordinate with the AI Delivery and Enablement Champion network and leadership to support allocation decisions, adoption planning, and use-case identification
• Develop requirements documentation, user-facing guidance, support pathways, and knowledge articles
• Provide leadership and assistance to business and project teams that require change management and communication support
• Track training completion and adoption against targets
• Capture lessons learned and successful approaches from each rollout

Pilots to Governed Enterprise Service Duties:

• Plan and manage pilots of emerging AI capabilities from intake through to a recommendation on enterprise enablement
• 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
• Take responsibility for ongoing client satisfaction
• Assess whether the project achieved stated outcomes and identify opportunities for improvement

Must Have:

• 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
• 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

Nice to Have:

• 1+ years of experience delivering generative AI or agentic AI tools in an enterprise environment
• 5+ years of experience developing and delivering communications and presentations at multiple levels of an organization
• 2+ years of experience implementing chargeback, cost-recovery, or consumption/spend reporting for cloud or SaaS services
• 4+ years of experience developing and delivering communications and presentations