Advising credit unions and CUSOs on AI strategy and governance
I help credit unions put AI to work without getting ahead of what their members and regulators can trust.
I'm the first Chief AI Officer at Opmodi, the credit union industry's AI Center of Excellence. For twenty years before that I ran technology inside credit unions, most recently as SVP and CIO at Mid-Hudson Valley Federal Credit Union, and for a decade before that leading IT at Hudson Valley Credit Union through a core conversion and a digital banking rebuild.
- Years leading technology
- 20+
- Largest institution served
- ~$8B
- Largest technology team led
- 40
What I work on
What people bring me
Almost everything I get asked about falls into one of these four. They also depend on each other. Governance stalls without a data foundation, and a roadmap goes nowhere if nobody is trained to use what you build.
AI governance & risk
What it takes to defend an AI decision to a board, an examiner, or a member.
- AI policy written so it can actually be enforced
- System controls and data-leak prevention for engineering teams
- Model inventories, risk tiering, and approval gates
- Third-party and vendor AI due diligence
AI strategy & economics
What to build, what to buy, what to run yourself, and what to turn down.
- Maturity assessment and honest baselining
- Use-case prioritization against real member outcomes
- Token cost control, model routing, and local LLM deployment
- Sequencing so each project makes the next one easier
Core & infrastructure modernization
AI is only as good as the data and the platform underneath it.
- Core conversions, and the year of stabilization after one
- Cloud-first architecture for regulated workloads
- Digital banking platform migration and adoption
- Data foundations: lineage, quality, and access control
Operating change
Technology usually fails at the last mile, where it meets people and process.
- Board and executive education that skips the hype
- Lean process work and automation that gives people real hours back
- Team structure and succession for cross-functional AI work
- Measuring whether people actually use it
Where I sit
Chief AI Officer at Opmodi
The part I care about is what makes AI safe to actually ship: the policy, the controls that enforce it, and the habits that keep both honest once the work is live.
Current
Chief AI Officer, Opmodi
Opmodi's first Chief AI Officer, leading the AI Center of Excellence that helps credit unions adopt AI safely and at scale.
See the full recordPreviously
SVP / Chief Information Officer
Mid-Hudson Valley Federal Credit Union
$1.7B in assets · team of 25
Vice President, Information Technology
Hudson Valley Credit Union
Nearly $8B in assets · team of 40
IT Operations Supervisor
Visions Federal Credit Union
$3.5B in assets · team of 8
Manager of Information Technology
Montgomery County Teachers Federal Credit Union
$450M in assets · team of 9
Project Manager / Technology Lead
E-site Marketing, LLC
Team of 9 engineers
Get in touch
If any of this sounds familiar
I take on a small number of advisory conversations alongside the work at Opmodi, and I speak regularly on AI governance and adoption in financial services.