Dan Oliver

CTO

Abu Dhabi, United Arab Emirates25 yrs 11 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in enterprise architecture and AI solutions.
Led national Microsoft 365 consolidation for government.
Delivered significant cost savings through predictive maintenance.

Stackforce AI infers this person is a Cloud and AI Architect specializing in enterprise solutions for government and utilities.

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Skills

Core Skills

Enterprise ArchitectureArtificial Intelligence (ai)TrainingMicrosoft AzureCloud Architecture

Other Skills

Microsoft 365AIAzure OpenAICopilotData GovernanceArchitecture DesignAzureSecurityPythonC#Predictive MaintenanceGenerative AIData AnalyticsData MigrationArtificial Intelligence Solutions

About

I've been working with Microsoft tech for nearly 25 years, helping organizations get the most out of tools like Azure, Co-Pilot, AI, cybersecurity, Microsoft 365, and Windows 365. My ideal day kicks off in the boardroom, where I dig into business goals, define requirements, and sketch out solution architectures. Then, I dive into the code and portals, working hands-on while guiding teams to turn those plans into real value.

Experience

Abu dhabi department of government enablement

Chief Architect M365 and Agentic AI

Jan 2024 – Present · 2 yrs 2 mos · Abu Dhabi Emirate, United Arab Emirates · On-site

Accountable for the end-to-end enterprise architecture, design authority, and technical governance of a national programme consolidating 34 government Microsoft 365 tenants into a single shared-services platform. Led the enablement of secure, compliant, and resilient cross-government AI using Microsoft Copilot and Azure OpenAI, leveraging data across Exchange, Teams, SharePoint, OneDrive, and Dynamics 365 while meeting strict data sovereignty, regulatory, and security requirements.
Owned the target-state architecture and defined architectural principles, standards, and reference designs across productivity, collaboration, data, security, and AI. Acted as Design Authority, approving solution designs, managing architectural deviations, and controlling technical debt. Designed and governed a split operating model balancing central shared-service controls with delegated, entity-level configuration and data ownership, enabled through Entra ID, Admin Units, and role-based access control.
Led AI, data, and Copilot architecture, defining data access, grounding, governance, and responsible AI controls like DLP. Defined migration and coexistence architectures across entities with varying maturity, addressing identity, security, endpoint, and application dependencies across multiple enterprise roadmaps.
Operated effectively in a highly federated and politically complex environment, aligning CIOs, CISOs, and enterprise architects, resolving cross-entity architectural conflicts, and providing clear executive-level communication on risks, trade-offs, and decisions. Chaired and supported architecture governance forums, ensuring alignment with national cybersecurity frameworks and audit needs.
Delivered target-state and transitional architectures, Copilot and Azure OpenAI reference architectures and roadmaps, data and AI governance guardrails, split operating model designs, security and identity architectures, architecture decisions, risk registers, andarchitecture roadmaps

Microsoft 365AIAzure OpenAICopilotData GovernanceArchitecture Design+2

Ey

Director Azure and AI

Jan 2021 – Jan 2024 · 3 yrs · London Area, United Kingdom · Hybrid

Chief AI Enterprise Architect – Predictive Maintenance & Generative AI (Confidential Utilities Provider)
Defined and delivered the enterprise and solution architecture for a large-scale AI-driven predictive maintenance platform for a regulated utilities provider. Led the design of an end-to-end Azure AI architecture combining machine learning, generative AI, and time-series analytics to monitor mission-critical plant machinery and predict failure risk, service impact, and optimal component replacement windows.
Established scalable data and analytics pipelines integrating operational technology (OT), sensor telemetry, maintenance records, and engineering documentation, enabling AI models to detect early degradation patterns and generate proactive maintenance recommendations. Designed generative AI capabilities to support automated fault analysis, maintenance summaries, and engineering decision support.
In parallel, formulated and established a Cloud Center of Excellence (CCoE) to enable sustainable delivery at scale. Defined cloud operating models, cloud operations, DevOps and MLOps practices, and device/edge operations to support AI workloads across plant environments. Designed a secure multi-cloud landing zone with standardised identity, networking, security, monitoring, and cost-management patterns to support regulated workloads and future expansion.
Acted as design authority for enterprise integration, security, and operational readiness, ensuring solutions met strict reliability, safety, and compliance requirements. Partnered closely with engineering, operations, and asset management teams to embed AI into core maintenance workflows, delivering measurable reductions in service outages, improved asset availability, and multi-million-pound annual cost savings.

AzureAIPredictive MaintenanceGenerative AIData AnalyticsEnterprise Architecture+1

Ibm

Azure Chief Architect / CTO

Jul 2017 – Jul 2022 · 5 yrs · United Kingdom · Hybrid

Chief AI Architect – Predictive Maintenance & Generative AI (Confidential Utilities Provider)
Defined and delivered the enterprise and solution architecture for a large-scale AI-driven predictive maintenance platform for a regulated utilities provider. Led the design of an end-to-end Azure AI architecture combining machine learning, generative AI, and time-series analytics to monitor mission-critical plant machinery and predict failure risk, service impact, and optimal component replacement windows.
Established scalable data and analytics pipelines integrating operational technology (OT), sensor telemetry, maintenance records, and engineering documentation, enabling AI models to detect early degradation patterns and recommend proactive interventions. Designed AI services to support both predictive insights and generative AI use cases, including automated fault summaries, maintenance recommendations, and engineering decision support.
Acted as design authority for enterprise integration, security, and operational readiness, ensuring solutions met strict reliability, safety, and compliance requirements. Worked closely with engineering, operations, and asset management teams to embed AI into day-to-day maintenance workflows, delivering measurable reductions in service outages, improved asset availability, and multi-million-pound annual cost savings.

AzureAIPredictive MaintenanceGenerative AIData AnalyticsEnterprise Architecture+1

Freelance

Microsoft Certified Trainer – Azure, AI, Microsoft 365, Security, Data, Python & C#

Jan 2005 – Dec 2025 · 20 yrs 11 mos · EMEA · Hybrid

As a Microsoft Certified Trainer (MCT), I deliver a wide range of Microsoft courses across Azure, Microsoft 365, Security, OpenAI, Python, and C#. I go beyond the official curriculum to ensure every delegate understands the foundational concepts needed for success. I explain complex topics using stories, analogies, and real-world examples from over 25 years of experience implementing Microsoft technologies.
I create a fun, relaxed, and engaging learning environment that keeps learners involved and confident. Whether teaching cloud fundamentals or advanced AI solutions, I ensure every session is practical, inclusive, and tailored to the audience.
Courses Delivered Include:
Azure & AI: AZ-900, AZ-104, AZ-305, AZ-700, AZ-400, AZ-500, AZ-700, AZ-800, AZ 104, AZ 120, AI-900, AI-102, AI-050, DP-900, SC-900, PL-900
Microsoft 365 & Security: MS-900, SC-900, SC-200, SC-300, SC-400, MD-102, PL-900, PL-100, PL-200, PL-300
Programming: Python Fundamentals, Python for AI, C# Fundamentals, Intro to ML with Azure
Low-Code/No-Code Automation:
Academy Program for Business Automation using Power Platform
Power Apps, Power Automate, Dataverse, Power BI, Power Pages
Real-world scenarios for finance, HR, case management & citizen services
Each course combines Microsoft’s official content with my real-world insight—ensuring learners leave with skills they can immediately apply in the workplace. Most importantly i make sure my delegates are confident and ready to pass their certification exams.

AzureAIMicrosoft 365SecurityPythonC#+2

Microsoft

Cloud and AI Architect

Jan 2000 – Jul 2017 · 17 yrs 6 mos · Redmond, Washington, United States · Hybrid

Presales and delivery architect within Microsoft Services.
Design and delivery of Data Centre to Azure Migrations, Modern Workplace and Artificial Intelligence Solutions.

AzureAIData MigrationArtificial Intelligence SolutionsCloud ArchitectureArtificial Intelligence (AI)