Morgan Dutton

About Morgan Dutton

With more than a decade of experience successfully leading cross-org programs and projects, I am at my strongest when managing technology, people and ideas. My core strengths shine on projects involving GenAI and human in the loop technologies. I enjoy driving product and go to market strategy, cross-org collaboration, systems development and metrics. I am experienced managing the relationships required to move projects forward through all life cycle phases, from requirements gathering to implementation and business benefits delivery.Core competencies include: GenAI Application evaluation and monitoring; Technical product and program management; Program design, development and implementation; Database architecture, design, analysis, optimization and custom reporting; Business process analysis and re-engineering; Strategic communication, public relations and fundraising

Experience

1. Sr Technical Program Manager

   Amazon Web Services (AWS)

   Apr 2021 — Present · Seattle, WA, US

   Leading Amazon Q for Business internal customer engagement program• Drove Bedrock Model Evaluation and SageMaker Model Evaluation launches leading up to the re:Invent announcement. • Drove human in the loop quality initiatives for the Amazon Q for Business launch.• Led deprecation of legacy infrastructure across multiple divisions to reduce OpEx by 15% YoY.• Launched SageMaker Ground Truth Synthetic Data in collaboration with AWS Simulation Tech, Robotics, and Amazon Imaging teams.• Led collaboration with MIT Lincoln Lab, AWS Data lab, Open Data Program, and the AWS Disaster Response team to develop a ML pipeline to ingest Low Altitude Disaster Imagery, use elastic search to prefilter objects and add context, extract metadata, pre-label with a custom SageMaker model, route low confidence results to humans for review and route corrected annotations back into the ground truth set to improve model performance via Augmented AI. We presented the end-to-end solution at NAML.• Led collaboration with NSF and i-HARP researchers, and AWS AI ML Solutions Architects to develop a ML pipeline that can analyze radar ice core images via a custom SageMaker model that annotates ice layers, measures snow and ice layer thickness, routes low confidence annotations to scientists for review then routes corrected images back to the ground truth data set to support active learning via Augmented AI to measure climate and ice sheet changes over time.

Education

• University of Washington

  Bachelor of Science (B.S.)

  1993 — 2000

Skills

• Business Process Improvement
• Contract Management
• Fundraising
• Databases
• Enterprise Software
• Power Bi
• Customer Relationship Management (Crm)
• Public Speaking
• Leadership
• Event Management
• Process Improvement
• Data Analysis
• Event Planning
• Management
• Team Building
• Consulting
• Business Intelligence Tools
• Program Management
• Analysis
• Business Intelligence
• Business Process
• Editing
• Policy
• Social Media
• Information Technology
• Government
• Nonprofits
• Project Management
• Public Relations
• Data Analytics
• Strategic Planning
• Sharepoint
• Training
• Vendor Management
• Crm
• Research
• Strategy
• Strategic Communications