Justin Mccoy
IBM X SAP Technical Leader - EMEA
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJustin Mccoy is an experienced technology leader blending two decades of engineering, developer advocacy, and commercial leadership to design cloud-native, ML, and automation solutions for enterprise SAP customers. Currently IBM x SAP Technical Leader for EMEA, he drives Terraform/Ansible automation and FinOps practices to cut cloud TCO while mentoring cross-organizational teams and evangelizing agentic automation. Previously he built zero-to-one sales engineering organizations across the Americas, delivering 100+ GenAI/security solutions and supporting multibillion-dollar deals with consistent high win rates. A hands-on prototype-minded engineer and former developer advocate, he translates open-source innovation into customer offerings and large-scale developer experiences. Based in Munich, he pairs system-level z/OS and embedded robotics roots with modern cloud and data-science fluency, and serves on a corporate board—an unusual mix of deep technical execution and commercial scaling.
8 years of coding experience
16 years of employment as a software developer
Master's, Computer Science, Master's, Computer Science at SUNY New PaltzBachelors of Science, Computer Science in Engineering, Bachelors of Science, Computer Science in Engineering at Michigan State University
Github Skills (61)
watson10
predictive10
watson-studio10
watson-machine-learning10
watson-assistant10
watson-conversation9
machine-learning9
watson-discovery9
banking8
ibm-watson8
tone-analyzer8
ibm-cloud8
language-understanding7
data-science-experience7
sequential6
Programming languages (8)
Github contributions (5)
justinmccoy/digitaldevcon-setup
Nov 2019 - Mar 2020
Account and Kubernetes setup for the Digital Developer Conference: AI & Cloud
Contributions:7 commits, 1 PR, 6 pushes in 3 months
devopsaccountdockerkubernetesaws
IBM/predictive-model-on-watson-ml
Aug 2017 - Jan 2019
Create and deploy a predictive model using Watson Studio and Watson Machine Learning
Contributions:56 commits, 11 PRs, 67 pushes in 1 year 4 months
call-for-codewatson-studiomachine-learningpredictiveibmcode
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