Matt Wood
Chief AI & Technology Officer, AWS
- Role
- Chief Ai & Technology Officer at Amazon Web Services (AWS)
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Matt Wood
I returned to AWS as Chief AI & Technology Officer in 2026, after almost 15 years here earlier in my career and most recently leading commercial technology and innovation at PwC. My work is about helping turn AI from possibility into production. I work with customers, builders, partners, and AWS teams to understand where the technology is actually going, how customers can put it to work now, and what it takes to build something durable on top of it rather than something that demos well and fades. I think the next era will be shaped by inventors and builders who use AI to reinvent products, services, and experiences, not just bolt it onto what they already have. I write about that, and the counterintuitive parts most takes miss, in my newsletter, Counterintuitive. My book, Both, And, is about holding two true things at once, which turns out to be most of the job. Earlier: a PhD in machine learning, medical school at the University of Nottingham, and a postdoctoral fellowship at Weill Cornell Medicine, where I worked on natural language processing and bioinformatics back when that was still a niche. Work hard, have fun, make history.
Experience
Chief Ai & Technology Officer
May 2026 — Present
Education
University of Nottingham
PhD, Machine Learning
Joan & Sanford I. Weill Medical College of Cornell University
Post-Doctoral Research
Skills
- Architecture
- Software Design
- Enterprise Architecture
- Large Scale Deployments
- Large Scale Systems
- System Administration
- Perl
- Amazon Web Services (Aws)
- Genomics
- High Performance Computing
- Hadoop
- Scalability
- Software Development
- Nosql
- Python
- R
- Database Design
- High Availability
- Analytics
- Shell Scripting
- Ruby on Rails
- Databases
- Ruby
- Bioinformatics
- Big Data
- Virtualization
- Program Management
- System Architecture
- Technical Leadership
- Distributed Systems
- Agile Methodologies
- Distributed Applications
- Soa
- Machine Learning
- Open Source
- Data Management
- Computer Science
- Bash
- Algorithms
- Unix
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