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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise infrastructure services, cloud architecture, and AI platform enablement, with a strong focus on Microsoft Azure, operational governance, and vendor management. Proven ability to drive modernization initiatives, manage budgets, and ensure compliance in regulated environments.
Highest-signal resume keywords
Microsoft Azure ExpertiseCloud Architecture LeadershipOperational Governance Using ITILVendor Performance ManagementAI Platform Enablement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud ArchitectureInfrastructure ModernizationAI Platform EnablementCI/CD PipelinesContainerizationAutomation ToolsOperational Metrics DefinitionDisaster Recovery PlanningService ManagementCyber Resilience
Soft Skills
Executive CommunicationStakeholder ManagementTeam LeadershipCollaborationProblem-Solving
Tools & Technologies
Microsoft AzureTerraformDatadogSplunkKubernetesAIOpsManaged ServicesService Desk ToolsIdentity GovernanceMonitoring Tools
Certifications & Qualifications
Azure Solutions Architect ExpertAzure AdministratorAzure AI EngineerITIL 4PMPCISSPCCSPFinOps Certified Practitioner
Industry Keywords
Cloud ServicesRegulated Industry OperationsManaged ServicesOperational TransformationVendor Governance
Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformKubernetesPMPSplunkTerraform
About the role
Key responsibilities & impact- Lead the strategy, modernization, operation, security, resilience and financial performance of enterprise modern work and infrastructure services
- Establish and execute a modern cloud and AI-ready operating model emphasizing Microsoft Azure, Azure AI services, hyperscaler platforms, regulated-industry controls, automation, managed services, vendor governance, service reliability, disaster recovery and cost optimization
- Define architecture standards, operating models, policies and roadmaps for cloud platforms, data centers, networks, identity and access, endpoint services, collaboration, backup and recovery, monitoring, service desk, patching, automation and operational tooling
- Lead infrastructure strategy and platform enablement for enterprise AI capabilities, including secure compute, storage, networking, identity, monitoring, model hosting, API management and data connectivity
- Oversee Azure AI, Azure OpenAI, machine learning platforms, retrieval-augmented generation services, vector databases and approved third-party AI services
- Support MLOps and LLMOps through governed deployment pipelines, environment management, model/version tracking, monitoring, auditability, access controls, release management and rollback practices
- Own day-to-day operation, performance, availability and continuous improvement of enterprise infrastructure services across cloud, data center, network, identity, endpoint, collaboration, database, AI infrastructure, backup/recovery and service management environments
- Lead cloud platform governance, migration and modernization initiatives, monitoring, observability, AIOps, automation, incident response, root-cause analysis, disaster recovery and business continuity
- Partner with cybersecurity on vulnerability management, patching, endpoint protection, identity governance, threat response, privileged access, security architecture and audit readiness
- Oversee identity and access operations, end-user computing, service desk, endpoint lifecycle, software deployment, device provisioning, asset inventory and secure disposal programs
- Define and monitor KPIs, SLAs, SLOs and customer experience measures
- Collaborate with application, data, manufacturing, quality and business teams on digital initiatives, AI pilots, acquisitions, divestitures, site expansions and enterprise transformation programs
- Lead distributed internal teams, contractors, managed service providers and strategic technology vendors
- Establish vendor governance, including performance scorecards, business reviews, escalation paths, service credits, risk reviews and continuous improvement plans
- Own vendor selection input, statements of work, service-level expectations, contract management, renewal planning, financial tracking and relationship health
- Plan and manage infrastructure, cloud, AI platform, operations and vendor expense budgets
- Implement FinOps practices covering forecasting, tagging, showback/chargeback, rightsizing, reserved capacity, model or token consumption analysis, license optimization and waste reduction
- Report to the Chief Information Officer
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, or a closely related technical field
- 15+ years of progressive experience in IT infrastructure, cloud architecture, and enterprise technology operations
- At least 8 years in senior IT leadership roles
- Senior management experience in a managed service, regulated, multi-entity and distributed environment required
- Experience with budget, contract, AI platform and vendor performance management
- Deep, hands-on understanding of public/hybrid cloud (AWS, Azure, or GCP), CI/CD pipelines, containerization (Kubernetes), and automation/observability tools such as Terraform, Datadog and Splunk
- Deep knowledge of enterprise infrastructure, Microsoft Azure, hybrid cloud, AI-ready infrastructure, identity, end-user computing, service management, cyber resilience and regulated-industry operations
- Experience leading infrastructure modernization, cloud migration, AI platform enablement, managed services, vendor governance and operational transformation in a complex enterprise environment
- Proven track record of operational governance using ITIL, Agile frameworks and DevSecOps best practices
- Ability to conceptualize, select, launch and deliver secure, scalable and compliant technology solutions across internal teams and external service providers
- Ability to define operational metrics, service levels, financial measures and risk indicators, and implement processes required to measure, monitor and improve them
- Azure Solutions Architect Expert, Azure Administrator, Azure AI Engineer, ITIL 4, PMP, CISSP, CCSP, FinOps Certified Practitioner or comparable certifications preferred
- Master’s degree in business or related field preferred
- Exceptional executive communication and stakeholder management
