Charles Morris
SVP Agentic Enterprise Strategy
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolCharles Morris is an AI and data science leader with a decade of experience building AI-native platforms and teams for financial services, now spearheading Truist's Agentic Enterprise strategy. Previously as Microsoft's Chief Data Scientist for Financial Services he helped banks, insurers, and markets prioritize and operationalize GenAI, LLMOps, and MLOps at scale, blending executive advisory with hands-on architecture. He began by building Putnam Investments' data science capability from scratch, giving him practitioner fluency across modeling, ML engineering, and cloud platform design. Based in the New York metro area, he pairs domain depth in finance with a generalist AI toolkit, and is known for translating high-level strategy into production-ready agentic systems and digital teammates.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at North Carolina State UniversityBachelor of Arts - BA, Economics, Bachelor of Arts - BA, Economics at Boston University
English, Spanish
Github Skills (76)
documented10
azure10
iml9
science9
microsoft-azure9
lifecycle9
microsoft9
xai9
blackbox9
interpretable-machine-learning9
directory-structure9
transparency9
differential-privacy8
python8
lime8
Programming languages (10)
Github contributions (5)
dslp/dslp-repo-template
Nov 2019 - Jul 2020
Template repository for data science lifecycle project
Contributions:29 commits, 4 PRs, 3 pushes in 7 months
pythonsciencelifecycledata-sciencemachine-learning
dslp/dslp
Apr 2020 - Sep 2020
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Contributions:1 review, 24 commits, 12 PRs in 4 months
pythonsciencelifecycledata-sciencedocumented
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