Speaking
I speak about the organizational and architectural decisions that determine whether AI, data, and cloud programs succeed or stall at the enterprise level.
Talk Topics
What I speak about.
Why Most Enterprise AI Programs Fail Before They Start
The failure mode isn't technical, it's organizational. The operating model gap: why enterprises skip governance, what an AI operating model looks like, and how to build one that enables rather than constrains.
CTOs · CIOs · Heads of AI · VP Engineering
Data Architecture for Regulatory Defensibility
How to design data platforms that satisfy BCBS 239, DORA, and emerging AI regulations by default, not through bolt-on compliance. Data Vault 2.0, lineage patterns, point-in-time reconstruction, and insert-only modeling in banking.
Data architects · Platform engineers · Compliance leaders
The AI Operating Model: From CoE to Enterprise Capability
Centers of Excellence centralize capability. Operating models distribute it. The structural shift from centralized AI teams to distributed capability with shared standards: platform teams, domain ownership, and tiered governance.
AI leaders · Chief Data Officers · Transformation executives
AI Governance as Enablement
Governance doesn't have to be a bottleneck. A tiered framework that scales requirements with risk: lighter governance for low-impact models, rigorous governance for consequential ones. Risk classification, deployment gates, and monitoring standards.
Risk officers · Model validation teams · AI program leads
Platform Thinking for Enterprise Data
Why treating data infrastructure as a product, with platform teams, developer experience, and self-service, produces better outcomes than project-based data engineering. Platform architecture, dbt patterns, and the organizational design that makes it work.
Platform engineering leads · Data teams · Engineering directors
Deep Dive
Many of these topics are explored in depth in the Enterprise AI Playbook, a 47-page operating framework covering governance, architecture, measurement, and workforce design, with an interactive AI Readiness Assessment.
Inquiries
Available for conferences, executive offsites, and panels.
If you're organizing an event on enterprise AI, data architecture, or technology leadership and think there's a fit, I'd welcome the conversation.