Director, Enterprise Cloud Operations (Azure & 365)

AIS (Applied Information Sciences); United States; On-site; USD 165,000 - 248,000; Full time

Benefits offered by this job

Employee Ownership

Continuous Learning

Inclusive Culture

Mission-Driven Work

Job summary

Applied Information Sciences (AIS) seeks a Director of Operations / Principal Cloud Operations Manager to lead enterprise-scale O&M for a large Defense Industrial Base customer, using Azure and Microsoft 365. You will own service performance, drive operational maturity, and ensure successful transitions of new capabilities into steady-state operations.

You will lead a multidisciplinary team, establish a data-driven operational model with SLAs, KPIs, MTTA/MTTR, and capacity planning, and serve as

Qualifications

• 10+ years of enterprise IT operations or equivalent.
• 5+ years in senior leadership with production outcomes responsibility.
• Experience in federal/defense or regulated environments is a plus.
• Executive-level customer exposure and regular stakeholder briefings.

Responsibilities

• Own end-to-end operational performance across Azure, M365, and related platforms.
• Lead a growing team of engineers and support professionals.
• Drive data-driven operations with SLAs, KPIs, MTTA/MTTR, and capacity planning.
• Lead ORRs and provide risk-based recommendations for service readiness.
• Manage incidents, transitions, and continuous improvement initiatives.

Skills

Azure

Microsoft 365

Leadership

Operational metrics

Incident management

ServiceNow

Executive communication

Tools

Azure Monitor

Log Analytics

Entra ID

Office 365 tooling

Job description

Applied Information Sciences (AIS) seeks a Director of Operations / Principal Cloud Operations Manager to lead enterprise-scale O&M for a large Defense Industrial Base customer, using Azure and Microsoft 365. You will own service performance, drive operational maturity, and ensure successful transitions of new capabilities into steady-state operations.

You will lead a multidisciplinary team, establish a data-driven operational model with SLAs, KPIs, MTTA/MTTR, and capacity planning, and serve as