IT DIRECTOR — AI & DATA ENGINEERING

Turning enterprise IT into secure, intelligent infrastructure

Twenty years leading digital transformation, cybersecurity, and enterprise IT — now applied to building the cloud and data architecture that AI systems need to run reliably.

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20+YEARS IN ENTERPRISE IT
2CLIENT TRACKS: STARTUP / GOV
0DOWNTIME TARGET ON MIGRATIONS
FIG. 01 — DATA PIPELINE ARCHITECTUREREV A
LEGACY SYSTEMS on-prem, siloed data SECURE DATA CENTER resilient, compliant core HYBRID CLOUD elastic, cost-managed AI & ANALYTICS LAYER the outcome you're building toward
NO. 01

About

CLIENT TRACKS
STARTUPS · GOVERNMENT DEPARTMENTS
Portrait of Mohamed Elsayed Moafi

CAPABILITY SUMMARY

IT Director with 20+ years across digital transformation, cybersecurity, and enterprise IT.

  • Secure data center design & build
  • Hybrid & multi-cloud architecture
  • Large-scale enterprise project delivery
  • Compliance & risk-managed operations

I help organizations turn fragmented IT operations into secure, intelligent, data-driven infrastructure. With over 20 years as an IT Director, I've led enterprise-scale digital transformation initiatives, built secure data centers from the ground up, and architected hybrid cloud environments that balance performance with resilience.

My focus has shifted toward AI and data engineering — designing the data pipelines, cloud architecture, and automated workflows that modern AI systems depend on.

I work with two kinds of clients: fast-moving startups that need infrastructure built right the first time, and government departments that need proven, compliant, risk-managed systems. Whichever you are, my job is the same — reduce complexity, strengthen security, and make your data work harder for you.

NO. 02

Services

ENGAGEMENT
PROJECT-BASED OR FRACTIONAL
01
Data Infrastructure & Cloud Architecture
Design and implementation of hybrid and cloud-native data environments built to support analytics and AI workloads at scale.
02
Digital Transformation Strategy
End-to-end roadmaps that modernize legacy IT operations — from assessment through phased rollout — without disrupting day-to-day operations.
03
Data Center Design & Management
Secure, resilient data center architecture and management, including disaster recovery planning and compliance-ready infrastructure.
04
Workflow Re-engineering & Automation
Mapping and automating manual processes to cut operational overhead and reduce human error — a critical precursor to reliable data pipelines.
05
Enterprise IT & Cybersecurity Advisory
Fractional IT Director-level guidance for organizations that need senior oversight without a full-time executive hire.
NO. 03

Skills

DATA & AI

  • Data Engineering
  • AI-Ready Pipelines
  • Microsoft Data Platform
  • Data Architecture

CLOUD & INFRASTRUCTURE

  • Hybrid / Multi-Cloud
  • Data Center Management
  • Enterprise Infrastructure

TRANSFORMATION & OPS

  • Digital Transformation
  • Workflow Re-engineering
  • Process Automation
  • IT Operations

LEADERSHIP & GOVERNANCE

  • Enterprise IT Leadership
  • Cybersecurity & Risk
  • Large-Scale Delivery
  • Compliance Planning
NO. 04

Selected work

CASE DETAILS ANONYMIZED
PER CLIENT CONFIDENTIALITY
Enterprise Data Center Modernization & Cloud Migration
SHEET 01

CHALLENGE

Legacy, siloed data center limiting resilience and unable to support future AI/data initiatives.

APPROACH

Phased assessment, hybrid cloud architecture design, and staged migration with disaster recovery built in.

OUTCOME

Improved system resilience, reduced infrastructure costs, and zero-downtime failover capability.

Government Department Workflow Automation Initiative
SHEET 02

CHALLENGE

Manual, paper-heavy approval processes across departments, slow and error-prone.

APPROACH

Process mapping followed by redesign into automated, auditable digital workflows.

OUTCOME

Significantly reduced processing time, fewer manual errors, and stronger audit trails.

Digital Transformation Roadmap for a Scaling Startup
SHEET 03

CHALLENGE

Rapid headcount growth outpacing existing IT and data systems.

APPROACH

Phased transformation strategy aligning cloud infrastructure and data systems with growth targets.

OUTCOME

Infrastructure built for speed and cost-efficiency, with a foundation ready for future AI capability.

Full engagement details available on request under NDA.

NO. 05

Reliable AI starts with the infrastructure underneath it.

For startups

Need infrastructure and data pipelines built right the first time, without slowing your team down.

Start a project

For government departments

Need proven, compliant, risk-managed systems and a partner who speaks procurement.

Request capability statement

Or reach out directly — mohamedmoafi@gmail.com · LinkedIn