Public Presence
David Moskowitz
Technology Executive · IT Strategy · Author of Enterprise AI Policy
David Moskowitz is a technology executive with thirty years experience spanning enterprise IT strategy, mission-critical operations, and building financial business cases that decide whether major technology investments get funded. He has advised CIOs, CTOs, and CFOs at hundreds of global enterprises while at IBM, MongoDB, and BMC. He has managed 24/7 financial-processing data centers at 99.999% uptime, and architected systems for federal agencies requiring top-secret clearance. For the past 2.5 years, AI helped him build a fan data capture platform that worked across 5 continents, and now he writes the Enterprise AI Policy paper to give executives the governance discipline that real-world AI practice demands.
I describe myself as fluent in two languages: technology and business, with thirty years moving between them. This paper is written from that vantage: neither a purely technical nor a purely legal treatment, but a practitioner's framework for any executives who are accountable when AI acts inside the organization.
Specialization
- Enterprise AI Strategy, Deployment & Governance
- Technology Investments & Business Case Justification
- Mission-Critical IT Operations
Education & Credentials
MBA, University of Maryland
Bachelor of Science, University of Maryland
ITIL v3 Foundation
The Mission & Thesis
"This paper exists because AI does not respect organizational structure. When an employee entrusts AI to do the work, the role-holders who would normally have reviewed it — engineering, security, privacy, finance, legal — are bypassed in a single action. When something goes wrong, responsibility cannot be placed on the tool; it stays exactly where the org chart put it. Enterprise AI Policy is the practitioner's framework for closing that gap. It's the discipline that moves an organization from reactive AI experiments to accountable, policy-driven deployment."
Leadership & Impact
Technology Investment Consulting
Built MongoDB's global business-value consulting practice from zero to $100M in annual revenue contribution, and authored a $25M enterprise service-management business case approved by a major US bank's CIO.
Mission-Critical & Regulated Operations
Ran two 24/7 financial-processing data centers at 99.999% uptime with a twenty-person NOC, and architected federal systems under top-secret clearance for the FBI, IRS, HHS, and US Courts.
Applied AI Governance
Nearly three years of daily AI usage across architecture, build, testing, and deployment with explicit guardrails, test-from-spec gates, and agent isolation. Contributed open-sourced tooling to Anthropic's skills repository.
Advance the Conversation
Have a question about the paper, or want to explore professional engagement? General questions and speaking, advisory, or consulting inquiries all start here.