Christopher Curtis is a seasoned global professional services executive with over two decades of experience building and scaling delivery organizations for enterprise software, currently serving as SVP, Global Professional Services at Workday. He has repeatedly led large, revenue-generating services businesses—most notably growing SAP HANA services into a €100M+ practice and overseeing a 1,400-person analytics services organization—then translating that scale to Workday’s global deployments. Technically grounded with a BS in Computer Science and early systems experience at Exxon and Solvay, he blends deep operational rigor with a strong product and cloud services sensibility honed at Pivotal and ISG. Now pursuing PhD research in transformer architectures, benchmarking, deep learning, and human–AI interaction, he uniquely combines executive delivery leadership with an active interest in AI for the future of work.
8 years of coding experience
12 years of employment as a software developer
BS, Computer Science, BS, Computer Science at University of Oklahoma
Comprehensive Python implementations of fundamental statistical methods. Methods are derived from "An Introduction to Statistical Methods and Data Analysis", Seventh Edition, by: R. Lyman Ott, Michael Longnecker.
Contributions:8 PRs, 11 pushes, 3 branches in 1 year 1 month
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Christopher Curtis - SVP, Global Professional Services at Workday