Cloud architect Jobs in St. Albert, AB

Job Title: Senior Project Manager (IT)
Location: Remote – Alberta, Canada (Must reside and work within Alberta)
Job Type: Contract
Duration: 1 Year (Extension Possibility up to 24 Months)
Shift & Schedule: Monday – Friday | 8:15 AM – 4:30 PM Alberta Time | Excluding Provincial Holidays

Pay Rate: CAD $90 -95 hourly

Note: This job doesn't offer any benefits.

Position Overview

We are seeking a Senior IT Project Manager to lead enterprise AI enablement initiatives involving AI licensing, cloud platforms, governance, security, privacy, and organizational adoption. The role requires managing multiple concurrent projects and transitioning AI pilots into governed enterprise services.

Required Qualifications

• Meet one of the following education and project management experience requirements:

  • University graduation in business, management, or a related discipline with 4 years of project management experience.

  • Two-year diploma in business, management, or a related discipline with 6 years of project management experience.

  • One-year certificate in business, management, or a related discipline with 7 years of project management experience.

  • 8 years of project management experience.

• Project Management Professional (PMP) certification from PMI.

• 8 years of experience developing project schedules and strategies, estimating resource requirements, and monitoring work plans.

• 8 years of experience identifying, analyzing, and managing risks on large, complex projects.

• 2 years of experience implementing large-scale cloud-based projects and services related to AI enablement and integration.

• 3 years of experience with Microsoft 365 implementation projects involving multiple Office 365 products.

• 1 year of experience delivering generative AI or agentic AI tools in an enterprise environment, such as Microsoft 365 Copilot, Copilot Studio, Google Gemini Enterprise, or Claude Enterprise.

• 5 years of experience developing communications and presentations for executive management, project sponsors, steering committees, managers, and end users.

• 2 years of experience implementing chargeback, cost recovery, or consumption/spend reporting for cloud or SaaS services.

• 4 years of experience 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 through evaluation to production or enterprise service.

• 3 years of experience planning and coordinating User Acceptance Testing (UAT) for enterprise technology implementations.

• 2 years of experience managing enterprise software or SaaS license rollout, allocation, and lifecycle management, including request and provisioning workflows such as ServiceNow.

• 2 years of experience applying security controls in project solutions and designs, including Security Threat and Risk Assessments (STRAs) and Privacy Impact Assessments (PIAs).

• 5 years of experience in process improvement, documentation, and requirements gathering.

• 5 years of experience working in or for the public sector.

• Working knowledge of Microsoft 365, Azure, Google Cloud, SaaS licensing, cloud consumption models, identity and access management, and enterprise IT environments.

• Understanding of generative AI and agentic AI concepts, including assistants, agents, grounding, model selection, responsible AI risks, and consumption-based cost drivers.

• Strong understanding of IT change management, communication management, UAT frameworks, and security and privacy assessment processes.

• Excellent written and verbal communication skills, including the ability to prepare materials for senior executive and ministerial audiences.

Responsibilities

• Lead multiple AI enablement projects across enterprise licensing, cloud integration, governance, security, privacy, training, and adoption.

• Develop project charters, business plans, schedules, budgets, resource estimates, risk plans, and governance structures.

• Manage project milestones, deliverables, dependencies, shared resources, risks, issues, and budgets across concurrent projects.

• Plan enterprise AI license allocation, provisioning, reassignment, reclamation, consumption tracking, and cost-recovery mechanisms.

• Coordinate cloud platform and AI integration initiatives involving Microsoft 365, Azure, Google Cloud, APIs, identity management, data connectors, and hybrid environments.

• Coordinate STRAs, PIAs, information-classification reviews, data-residency requirements, and required security, privacy, legal, and enterprise architecture approvals.

• Apply responsible AI standards and governance requirements throughout project design, testing, and release.

• Plan and coordinate UAT, release-readiness reviews, and transition of new AI capabilities into ongoing operations.

• Lead AI pilots from intake and assessment through evaluation, user feedback, and recommendations for enterprise enablement.

• Coordinate role-based training, user guidance, communications, and support pathways with business champions and organizational stakeholders.

• Track license utilization, consumption, spending, training completion, and adoption against established targets.

• Manage vendors and delivery partners, including deployment schedules, licensing commitments, training, and support models.

• Prepare project status reports, executive presentations, recommendations, and deliverables for leadership and stakeholder review.

• Identify and escalate project risks, resource conflicts, dependencies, and delivery issues, recommending corrective actions as required.

• Evaluate project outcomes, document lessons learned, and recommend improvements for future enterprise technology initiatives.