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Manager Cyber Security Risk Analyst Jobs in Manitoba

... of risk management, banking, business lending Experience in commercial credit Negotiation experience Experience analyzing financial statements Good interpersonal and communication skills with an ...

Knowledge of functions of risk management, banking, business lending * Experience in commercial credit * Negotiation experience * Experience analyzing financial statements * Good interpersonal and ...

... and risk analysis as required. Provide CI Project Management support utilizing DMAIC / DMADV / PDCA frameworkResearch and apply functional best practices within project scopeEnsure sustainable ...

Expert knowledge of financial statement and cash flow analysis, commercial/agricultural lending principles, and enterprise risk frameworks. * Proven experience adjudicating or leading and managing ...

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Manager Cyber Security Risk Analyst information

What is the difference between Manager Cyber Security Risk Analyst vs Cyber Security Risk Analyst?

AspectManager Cyber Security Risk AnalystCyber Security Risk Analyst
CertificationsCISSP, CISM, CRISCCISSP, CISA, CompTIA Security+
Work EnvironmentOversees teams, strategic planningAnalyzes risks, implements security measures
Employer & Industry UsageFinancial, healthcare, tech firmsSame industries, entry to mid-level roles

The main difference is that the Manager Cyber Security Risk Analyst leads teams and develops security strategies, while the Cyber Security Risk Analyst focuses on assessing risks and implementing security controls. The manager role involves more leadership and strategic planning, whereas the analyst role is more hands-on with risk assessment tasks.

What cities in Manitoba are hiring for Manager Cyber Security Risk Analyst jobs?

Cities in Manitoba with the most Manager Cyber Security Risk Analyst job openings:

Senior Cloud and AI Administrator

NFI Group Inc.

Winnipeg, MB • On-site

Full-time

Re-posted 28 days ago


Job description

POSITION GOAL: 

The Senior Cloud & AI Administrator is responsible for building, implementing, and operating enterprise cloud and AI platforms across the organization. This role directly delivers Azure-based infrastructure, Microsoft 365 services, and enterprise AI solutions (including Copilot and custom AI capabilities), ensuring they are secure, scalable, and effectively utilized.

The position actively executes across infrastructure, security, and data/AI domains to drive modernization, automation, and business outcomes through hands-on delivery and continuous optimization.

 ESSENTIAL FUNCTIONS: 

Design and Strategy (Execution-Focused):

Build and maintain enterprise platforms across:

  • Microsoft Azure (IaaS, PaaS, AI services)
  • Microsoft 365 and collaboration tools
  • Enterprise AI ecosystem (Copilot, Azure OpenAI, AI development platforms)
  • Implement cloud-first and AI-enabled solutions aligned to business needs
  • Execute modernization initiatives (e.g., serverless deployments, infrastructure consolidation, automation)

Enterprise AI & Copilot Implementation & Operations:

Configure, deploy, and maintain:

  • Microsoft Copilot capabilities
  • AI agents (Copilot Studio, Power Platform)
  • AI-assisted development tools (e.g., GitHub Copilot)
  • Enforce governance, privacy, and data protection controls within AI solutions

Manage and operate:

  • AI tool inventory and lifecycle
  • Monitoring, usage analytics, and cost tracking
  • Access controls, environment separation (Dev/Test/Prod), and publishing processes

·    Implement and maintain controls with Security and Compliance teams for:

  • Responsible AI usage
  • Audit logging, monitoring, and investigation readiness
  • Identify and remediate risks related to unsanctioned AI usage while driving adoption of approved tools

Cloud Platform & Infrastructure Delivery:

  • Build, configure, and operate Azure environments, including:
  • Networking and hybrid connectivity
  • Identity and access (Entra ID, Conditional Access)
  • Compute, storage, and data services
  • Execute cloud migrations and workload placements
  • Continuously optimize cost, performance, and platform reliability
  • Develop and maintain automation (infrastructure as code, patching, deployment pipelines)

Cybersecurity & Governance Execution:

Implement and enforce governance controls across cloud and AI platforms, including:

  • ·Cost management and practices
  • Access and configuration baselines
  • Logging, monitoring, and incident response integration
  • Execute threat modeling inputs and support risk assessments with cybersecurity teams
ADDITIONAL RESPONSIBILITIES:

Comply with all occupational safety and health rules and regulations approved by the local Country, State and Province, NFI Group management, the safety committee and Union partners

Comply with all Environmental Management Systems certification and Occupational Safety and Health certification achieved by NFI Group

Other duties as assigned.

Requirements

Education:

  • Bachelor’s degree in Computer Science, Information Systems, related field, or comparable industry experience
  • Certifications (Preferred)
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Security, Compliance, and Identity
  • TOGAF or enterprise architecture certification (nice to have)
Experience/Knowledge
  • 8–12+ years in IT infrastructure/cloud roles
  • 3–5+ years in architecture-focused positions
  • Experience in enterprise-scale cloud and AI environments

Strong expertise in:

  • Microsoft Azure (compute, networking, AI services, automation)
  • Microsoft 365 ecosystem (Teams, SharePoint, Copilot)
  • Identity and access management (Entra ID)

Solid understanding of:

  • Enterprise AI platforms and governance models
  • Data security, privacy, and compliance frameworks
  • Hybrid infrastructure and networking

Familiarity with:

  • AI/ML concepts and enterprise AI deployment patterns
  • DevOps / GitHub Enterprise and CI/CD pipelines (preferred)