The work
Turning institutional strategy into governed, decision-ready data — and the disciplines that surround it.

Denver-based, I work at the intersection of data, finance, and writing — building the systems that make an institution legible to itself, the venture that does the same for companies, and a press that thinks in public.
The mandate
I am the Data Governance Lead for the dean’s office of the Daniels College of Business at the University of Denver. My charge is deceptively simple: connect the college’s ten-year strategic plan — Elevate 2035 — to the data that should prove it, and make that data trustworthy enough to govern by.
In practice, that means reconciling the many systems a university runs on — records, advancement, faculty activity, survey, accreditation — into a single governed core, defining each metric once, and surfacing it where decisions are actually made: executive dashboards for leadership, and individual views for faculty and staff.
Find the signal, define it once, and put it where a decision gets made.
It is the same instinct in every medium I work in — an institution’s data, a venture’s P&L, a portfolio, or a page.
How I work
One source of truth
Reconcile scattered systems into a governed core. No metric defined twice; no quiet disagreements between reports.
Decision at the edge
Intelligence delivered where the choice is actually made — not buried three clicks deep in a report nobody opens.
Governed, not gated
Classification, lineage, and sensible access that build trust without slowing good people down.
Built to ship
Working software and live dashboards — not slideware. The proof is something you can open and use.
Capabilities
Data strategy & governance
Uniting strategic plans with the data sources that should inform them; one governed core, every metric defined once.
Decision intelligence
Executive and individual dashboards that make the right number impossible to miss.
Applied AI
Private, cited-source AI put to work on real institutional and business questions.
Quant finance & markets
Applied quantitative finance and disciplined judgment under uncertainty.