Enterprise IT & Cloud Operations Leadership Azure · AWS · FinOps · AI

Ravindran ManiDirector of IT & Cloud Operations

Miami, Florida · Open to leadership roles GxP · Life Sciences · eClinical SaaS

Enterprise Cloud Operations, Regulated Infrastructure & AI-Ops.

I lead enterprise IT and 24x7 global cloud operations for GxP-regulated eClinical SaaS platforms, owning a multi-million-dollar technology portfolio. I modernize mission-critical workloads across Azure and AWS while keeping compliance, FinOps cost governance, and practical AI automation at the center.

Email linkedin.com/in/ravindranmani 22+ years enterprise experience, US and India
Scale
500+

Critical servers migrated to Azure and AWS

Efficiency
−44%

VM footprint (900 → 500), no loss of service

Operations
24x7

Global operations for eClinical SaaS platforms

Governance
70

Azure subscriptions in a landing zone built from the ground up

Featured migration

Consolidating 900 VMs to 500 on Azure & AWS with no loss of service

Data center consolidation of VMs, SQL Server clusters, SharePoint, and application workloads for a GxP-regulated eClinical platform, governed through FinOps and disaster recovery planning.

Read the details →
Azure · AWS · AI

Building the foundations for an AI-enabled future

My focus is on connecting cloud strategy with practical AI adoption: resilient platforms on Azure and AWS, disciplined cost management, and automation that gives teams more time to solve meaningful problems.

01 / CLOUD FOUNDATIONS

Azure & AWS with purpose

The right cloud architecture starts with business needs. I prioritize secure access, reliable services, recoverable workloads, and clear cost ownership to support modernization and future AI workloads.

02 / PRACTICAL AI

More effective cloud operations

I see opportunities for AI to help teams interpret cloud events, investigate incidents, improve documentation, and automate repetitive tasks, with human review and clear accountability for production changes.

03 / RESPONSIBLE GROWTH

Innovation with governance

My approach to AI adoption puts data protection, access controls, auditability, and measurable business value at the center, so new capabilities can grow alongside the needs of regulated environments.

Explore my cloud expertise → See my AI projects →