Data Governance Manager & AI Ethics SME, Contingent Worker To KPMG LLP
Monroe, Washington, United States
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Summary
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Rockstar
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Top School
Tom Layson is a data governance and privacy leader with five years of focused experience operationalizing Ethical AI and building data-centric governance at enterprise scale. Currently a contingent worker to KPMG, he designed a tailored Responsible AI framework inspired by Microsoft’s model and added business-specific pillars while defining the services and data activities product teams need to comply. His background spans privacy and compliance roles at Microsoft, Meta, Amazon and Moz, where he created consultation programs, privacy tooling, and automated compliance workflows that reduced friction for hundreds of engineering teams. Tom blends technical pragmatism—SQL-driven automation, Power BI reporting, and model-training experience—with cross-functional influence across Legal, Engineering and Trusted AI teams. Based in Monroe, Washington, he has a knack for turning high-level ethical principles into auditable, production-ready processes that balance innovation and risk. A practical operator who moves quickly from policy to implementation, he’s helped establish KPMG’s US Audit Data Governance program and related solutions like data lineage and business glossaries.
5 years of coding experience
24 years of employment as a software developer
Computer Science, Computer Programming, 3.3, Computer Science, Computer Programming, 3.3 at Pacific Lutheran University
This repository is used for Windows client for IT Pro content on Microsoft Learn.
Contributions:5 reviews, 34 commits, 3 PRs in 11 months
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Tom Layson - Data Governance Manager & AI Ethics SME, Contingent Worker To KPMG LLP