Data & AI Organization Design
Architected a 40-person, three-pod data & AI organization — data science, data engineering, and data product management — that consolidated under the Chief Data & AI Officer.
Org Design Leadership Governance
The challenge
Separate data teams with divergent tooling, standards, and reporting lines — and no shared operating model.
The design
I architected a single ~40-person organization structured into three pods — Data Science, Data Engineering, and Data Product Management — each with an explicit operating model, shared CI/CD pipelines, and a common governance framework. The consolidated org reported up to the Chief Data & AI Officer.
Why it matters
Org design at scale: I shaped how ~40 people would work, not just the platform they work on — the move that set up the enterprise’s AI expansion.