Case Studies
Each of these engagements involved building something that didn't previously exist — a new PMO, a new CDO, a new data platform — inside organizations operating at national or global scale. The work behind each one is documented here.
HP Inc. is one of the world's most recognized technology companies — and historically, almost entirely a hardware company. When I joined in 2022, the AI & Data Science business was making a fundamental shift: from standalone hardware to integrated solutions combining hardware, software, and services. The problem was that HP had no repeatable operating model, no PMO, and no product lifecycle framework capable of handling that complexity.
I was brought in to lead delivery of the first solution in this new paradigm — a program spanning 20+ workstreams with no established governance and enormous executive visibility. What began as a delivery role became something larger: the foundation for how HP would build and ship AI software products going forward.
The Colorado Department of Transportation is a 3,000-person agency managing one of the most complex transportation networks in the western United States. Like most state DOTs, CDOT operated its data functions in silos — data was acquired, produced, and stored separately across divisions, with no unified strategy, no shared infrastructure, and no executive function responsible for treating data as a strategic asset.
CDOT awarded Xentity Corporation a multi-year open-competitive contract to build the state's first Chief Data Office from scratch. I served as the primary program manager and client-facing delivery lead — the person responsible for translating that ambition into 20+ concurrent workstreams, coordinating 11 consultants, and producing results that had never been done before at a state DOT anywhere in the country.
NOAA's National Centers for Environmental Information (NCEI) — part of NESDIS — manages one of the world's largest environmental data archives, spanning satellite records, oceanographic data, climate models, and geophysical observations. The problem: the data was fragmented across dozens of siloed portals, metadata was inconsistent and manually maintained, and discovery across the collection was nearly impossible.
The OneStop initiative was NOAA's effort to change that — building the agency's first enterprise-wide Data-as-a-Service platform unifying 30+ line offices under a shared metadata standard and API layer. My role was to lead the three metadata-focused teams within NCEI that were central to making OneStop possible. Without consistent, machine-readable metadata at scale, none of the discovery or access capabilities OneStop promised could work.
Open to senior program and product management roles in AI, data, and enterprise technology.