Jim Ludwig
Vice President - Lead Analyst Risk Strategic Solutions And Governance
City of North Tonawanda, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJim Ludwig is a seasoned technology and risk leader with over 25 years of experience driving IT strategy, governance, and large-scale change across banking, healthcare, and manufacturing — currently serving as Vice President and Lead Analyst for Risk Strategic Solutions and Governance at Citigroup. He blends deep program and PMO leadership (from Sarbanes‑Oxley and Y2K-era transformations to modern CCAR/DFAST stress testing) with hands-on technical delivery across data, EDW, and enterprise applications. A pragmatic bridge between business and engineering, Jim has repeatedly led complex acquisitions, compliance remediations, and enterprise upgrades while improving delivery quality and stakeholder communication. He also contributes to the research software ecosystem as a Senior Research Software Engineer and open-source maintainer associated with the Alan Turing Institute and Jupyter Book projects, reflecting an unusual mix of executive governance experience and active technical community involvement. Based in North Tonawanda, NY, he brings an institutional memory of legacy systems and pragmatic modernization expertise that accelerates risk‑aware digital transformation.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Science (B.S.), Business Administration and Management, General, Bachelor of Science (B.S.), Business Administration and Management, General at SUNY at BuffaloLewiston Porter Senior High School
Github Skills (4)
sphinx10
documentation10
python8
pi5
Programming languages (21)
Github contributions (5)
pimoroni/inky
Mar 2020 - Mar 2020
Combined library for V2/V3 Inky pHAT and Inky wHAT.
Role in this project:
Technical Writer
Technical WriterContributions:20 commits, 1 PR, 3 comments in 3 days
Contributions summary:Jim's primary focus was on enhancing the project's documentation. They updated docstrings, added examples, and restructured the documentation using Sphinx. Their contributions included adding external links to tutorials and the Git repository, as well as correcting typos and improving parameter descriptions. They also added documentation for the InkyPHAT and InkyWHAT classes.
inkyphatpypi-package
alan-turing-institute/AI-workflows
Jul 2021 - Jul 2022
A collections of portable, real-world AI workflows for testing and benchmarking
Contributions:7 reviews, 164 commits, 8 PRs in 1 year
ai-workflowsbenchmarkingtestinghut23hut23-947
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