Matt Doherty

About Matt Doherty

As a Cloud & AI Solution Architect, I specialize in multi-cloud strategy, AI-powered data transformation, and enterprise cloud adoption to drive business innovation, operational efficiency, and revenue growth. With over 15 years of experience in cloud architecture, AI/ML implementation, and large-scale data modernization, I have led Fortune 500 enterprises through AI-driven cloud migrations, predictive analytics solutions, and cost-optimized AI monetization strategies.At Green Street Digital and Inspire11, I have worked closely with Google Cloud, AWS, and Azure ecosystems, designing and deploying AI-powered data platforms, cloud-based analytics frameworks, and multi-cloud governance models. My expertise in cloud transformation, AI-driven automation, and enterprise AI adoption has helped organizations scale their data infrastructure, reduce costs, and enhance AI-driven business insights.Previously, at MavenWave, Inspire11, and Isobar, I spearheaded large-scale cloud migrations, AI-based predictive modeling solutions, and digital transformation strategies. My leadership in cloud governance, AI/ML deployment, and data engineering automation have driven measurable business impact, including:$10M+ cloud migration for a Fortune 500 healthcare provider, optimizing AI-powered patient insights and population health analytics.60% increase in package processing capacity at UPS by deploying AI-powered logistics analytics and real-time demand forecasting in Google Cloud.400% increase in eCommerce sales for Adidas by implementing a global eCommerce platform.I am passionate about leveraging AI, machine learning, and predictive analytics to drive enterprise cloud adoption, AI-powered business transformation, and multi-cloud innovation. My focus is on helping organizations scale AI-driven cloud solutions, monetize AI investments, and optimize data architectures for real-time business intelligence.Expertise:Cloud AI Strategy & Enterprise Adoption: Multi-Cloud Strategy (Google Cloud, AWS, Azure), Cloud Migration, Cloud Cost OptimizationCloud & AI Integration: AI-Powered Data Platforms, AI-Driven Customer Insights, AI Monetization ModelsAI-Powered Data Transformation: AI/ML Workflows, Predictive Analytics, Generative AI, AI-Powered Automation, AI-Driven Risk ModelingGTM & AI Commercialization: AI-Driven Sales Enablement, AI-Powered Business Intelligence, AI-Powered GTM ExecutionLeadership & Cross-Functional Collaboration: Executive Stakeholder Engagement, Global Team Leadership, AI Strategy Development, Cloud AI Innovation

Experience

1. Sr Solution Engineer

   Microsoft

   Jul 2025 — Present · Chicago, IL, US

   As a Sr Solution Engineer at Microsoft, I specialize in driving technical strategy and execution across enterprise accounts, with a focus on AI transformation, cloud modernization, and scalable architecture. I partner closely with sales and engineering teams to lead technical conversations, win customer trust, and accelerate solution adoption.

Education

• George Mason University

  B.S., Physiological Psychology

  1991 — 1996

Skills

• Digital Strategy
• Software Development Life Cycle (Sdlc)
• Databases
• E-Commerce
• Data Warehousing
• Python
• Etl
• Enterprise Architecture
• Sdlc
• Solution Architecture
• Database Design
• Data Warehouse Architecture
• Data Management
• Agile Methodologies
• Management
• Requirements Analysis
• Business Intelligence
• Integration
• Digital Transformation
• Requirements Gathering
• Sql
• Data Integration
• Customer Relationship Management (Crm)
• Project Management
• Data Modeling
• IT Strategy
• Soa
• Analytics