Cloud Platform Lead: Azure, AI, & Enterprise Delivery

Supply Ontario

Canada

On-site

CAD 88,000 - 129,000

Full time

12 hours ago

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Benefits offered by this job

Benefits

Defined benefit pension plan

Job summary

Supply Ontario seeks a Cloud Support Lead to provide enterprise leadership for cloud operations, governance, and service delivery. You will establish cloud standards, influence technology strategy, and align cloud services with public sector priorities and digital transformation goals.

You will lead day-to-day operations, ensuring secure and reliable service delivery and supporting AI-enabled solutions within OPS standards.

Qualifications

Degree in computer science, information technology, or a related field, or equivalent experience.
Minimum of 7 years of experience in cloud operations, infrastructure management, or enterprise IT service delivery.
Must have experience deploying and supporting Azure Foundry, Machine Learning (ML), Agents, and Generative AI models.
Hands-on experience supporting cloud platforms and services, including Microsoft Azure and Microsoft 365.
Experience with IT service management processes and tools.
Experience working in a public sector or regulated environment is an asset.

Responsibilities

Provide enterprise leadership and operational direction for cloud services (e.g., Azure, M365), ensuring secure, reliable, scalable, compliant, and high-performing technology services.
Lead monitoring, incident, problem, change, and release management activities, including performance analysis, issue resolution, deployment readiness, impact assessment, and implementation validation in alignment with OPS ITSM practices.
Lead and establish artificial intelligence operational growth, governance, cost management, and security of AI models
Manage and resolve complex, high-risk, enterprise-wide cloud incidents and service disruptions, balancing competing priorities, organizational risk, and stakeholder requirements.
Direct capacity planning, environment optimization, lifecycle management, and continuous improvement of cloud infrastructure, operations monitoring, processes, and documentation.
Lead and support cloud initiatives, including deployments, migrations, enhancements, AI-enabled solutions, and ongoing operational support.
Provide leadership and direction to cloud engineers, MSPs, project resources, and cross-functional technical teams by setting priorities, defining objectives, and ensuring successful delivery of services and projects.
Establish and maintain cloud governance, operational policies, standards, procedures, runbooks, and best practices across the agency, including participation on the Architecture Review Board and in privacy and security assessments.
Act as the subject matter expert for cloud operations, representing the cloud strategy and operational vision across the broader Digital, Data and Technology team and influencing senior leadership decisions on cloud investments, governance, risks, and requirements.
Identify, assess, and mitigate operational risks related to cloud services, AI technologies, cybersecurity, service continuity, regulatory compliance, and audit requirements.
Determine operational priorities, recommend resource allocation, and guide the strategic sequencing of cloud initiatives, balancing business needs, service impacts, technology requirements, and organizational risks.
Contribute to solution design, implementation planning, operational readiness activities, stakeholder engagement, and the development of presentations, technical documentation, and service specifications for both technical and non-technical audiences.
Collaborate proactively with internal teams, vendors, service providers, and OPS partners to deliver integrated cloud solutions, resolve issues, and ensure service levels and contractual obligations are met.
Monitor service performance, metrics, and SLAs; lead incident reviews and post-mortems; implement corrective actions; and provide insights to support strategic planning and continuous improvement.
Ensure cloud operations align with OPS I&T directives, cybersecurity standards, identity and access management best practices, and security requirements across the agency.
Lead the operational governance, risk management, security oversight, compliance, monitoring, and service delivery framework for cloud-based AI solutions, ensuring sustainable, reliable, and policy-compliant adoption across the organization.