Governed data platforms.
Now governed AI.
I'm James Curry — 30+ years designing enterprise data architecture for Fortune 100 companies and regulated industries, and the founder of Martin Makana Yan. Today I apply that same governance discipline to agentic AI: skills, decisions, and knowledge treated as versioned, audited, RBAC-protected assets — not code buried in prompts.
What I bring
Canonical & Enterprise Data Architecture
Three decades of canonical/3NF modeling, master data management, and "Rosetta Stone" enterprise information hubs that turn fragmented systems into a single governed source of truth.
Agentic AI in Production
Daily, hands-on use of Claude Code and enterprise Copilot deployments — not pilots. I direct AI to build production dbt models, pipelines, and infrastructure.
AI & Data Governance
Schema, RBAC, lineage, and immutable audit applied to AI agent skills and decisions — the same rigor enterprises already apply to production data.
M&A Technology Integration
Post-acquisition systems rationalization and architecture alignment, from Fortune 100 environments to fast-moving mid-market consolidations.
Currently building
Background
Grant Thornton — Enterprise Architect, Data & AI
Leading enterprise migration to a unified Snowflake platform across complex, M&A-merged environments, and deploying production agentic AI frameworks enterprise-wide.
Martin Makana Yan, LLC — Principal & Owner-Operator
21 years of independent enterprise data and architecture consulting — healthcare payer/provider, financial services, industrial, and higher education clients, full P&L ownership and delivery accountability.
Eli Lilly & Company — Global Enterprise Data Architect
Directed the Data sector of the Global Enterprise Architecture Office for this Fortune 100 pharmaceutical company; Architecture Review Board authority across all enterprise-scope investments.
Red Train — Vice President & Firm Partner
Co-owner and executive operations leader of a growth-stage technology firm; full accountability for practice P&L, hiring, and client relationships across financial and e-commerce platforms.
Early Career — Chief Technologist, Sr. Consultant, Data Architect
Progressive career from Jr. Consultant to Partner, building and shipping enterprise systems since 1995 — the foundation of everything since.