Dan Lee
Head Of PMO & Strategic Operations, Cloud Solutions And Industries
Atlanta Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolDan Lee is a strategic operations and PMO leader with 20+ years building enterprise program management, supply chain, and hyperscale datacenter capabilities at Google, PwC/Strategy&, and GE. Currently heading PMO & Strategic Operations for a ~1,000-person Google Cloud organization, he architects governance, OKR-driven resource models, and cross-functional execution that align AI/ML roadmaps with commercial objectives. He has a proven record scaling 0-to-1 teams, protecting production of 1M+ servers through COVID-19, and delivering $100M+ in operational efficiencies via strategic sourcing and vendor partnerships. A Lean Six Sigma Master Black Belt, he blends manufacturing rigor and DfX practices with cloud and GenAI infrastructure playbooks to de-risk prototype-to-mass-production lifecycles. Active in open-source maintenance and DevOps for major Google Cloud Python libraries, he brings hands-on build-and-release improvements alongside executive program leadership.
5 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS), Industrial Engineering, Bachelor of Science (BS), Industrial Engineering at Clemson University
Github Skills (26)
git10
sem10
python10
scripting10
sphinx10
setuptools10
build-system10
cicd10
gcp10
automation10
script10
dialogflow10
sh10
automations10
versioning10
Programming languages (11)
Github contributions (5)
googleapis/python-dialogflow
Apr 2021 - Jun 2022
Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
Role in this project:
Backend Engineer & DevOps Engineer
Backend Engineer & DevOps EngineerContributions:8 reviews, 10 commits, 18 PRs in 1 year 1 month
Contributions summary:Dan primarily worked on maintaining and updating the `python-dialogflow` library, focusing on versioning and build processes. They addressed issues related to version normalization, ensuring correct versioning practices. Additionally, the user migrated the project to the main branch and updated documentation, including the `owlbot` configuration, contributing to infrastructure and release management.
user-interfacepythonconversationalconversational-aiconversation
googleapis/python-aiplatform
Nov 2021 - Nov 2022
A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.
Role in this project:Technical Writer & DevOps Engineer
Technical Writer & DevOps EngineerContributions:37 reviews, 9 commits, 32 PRs in 11 months
Contributions summary:Dan primarily focused on updating documentation, fixing typos, and improving the overall documentation structure. They also contributed to the project's build process by pinning Python versions and adjusting configurations. The changes involved modifications to documentation files, noxfile, and owlbot configurations. Their work streamlined the project's documentation and build process.
pythonend-to-endsciencedata-sciencemachine-learning
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