Project Manager (IT) - Senior JP1045

About this role

Project Name:
Artificial Intelligence Delivery and Enablement
Scope:
AI Delivery & Enablement (AIDE) leads the Government of Alberta's adoption, delivery, and responsible use of artificial intelligence to enhance productivity, improve decision-making, and support better outcomes for Albertans. AIDE's approach rests on three mutually reinforcing pillars: capability building through the Alberta 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 resources will report to the AIDE Executive Director and will be assigned to directors as priorities require. They 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 ministry champions
They will also take pilots through to governed enterprise service. Current demand exceeds branch capacity, and these resources are needed to avoid delayed adoption and to continue successfully enabling our services and delivery obligations.
Work Streams:
This role spans four connected work streams. Each Project Manager may lead projects in one or more of them, depending on branch priorities.
Enterprise AI licence and consumption enablement. Planning and delivering the rollout, allocation and lifecycle management of enterprise AI licences across the department and the broader GoA. 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:
ministry 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. The work covers:
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 GoA requirements before a capability is released to users. The work covers:

• 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. The work covers:

• coordinating with the Alberta AI Academy on role-based training and learning pathways

• working through the AI Delivery and Enablement Champion network and ministry leadership on adoption planning and use-case identification

• developing user guidance, communications and support pathways

• tracking training completion and adoption against targets
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. They will ensure project objectives and schedules align with GoA and branch priorities. Resources report to the AIDE Executive Director and may support several directors and sponsors at once, so they must manage shifting priorities and dependencies across projects. The resource will provide recommendations, including resource requirements, dependencies, interdependencies, policy implications pertaining to internal and external influences, and the methodology to be applied.
This resource will have working knowledge and experience of enterprise IT and cloud environments. This includes 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 resource must have a sound understanding…