Core · Governance
AI Ethics & Institutional Policy
Active member of Manhattan University's AI Policy Committee, developing the institution's three-tier governance framework. Published author in AIR Professional File on responsible AI in higher education. AIR Forum keynote contributor. Contributing author, Analytics Revolution in Higher Education (in press). Currently leading the institutional AI deployment effort — scoping and sequencing a campus-wide custom GPT buildout across student-facing offices, with Career Services and Advising as first deployments. Strategy to implementation, not just policy to paper.
Core · Infrastructure
Proprietary AI Tool Ecosystem
14+ purpose-built skills designed, packaged, and maintained as installable tools — covering strategic analysis, writing production, research, document creation, and system maintenance. Runs on a personal operating system (Personal Operating System) built on Claude Cowork, with a structured folder architecture, self-improving review cycle, identity layer, and voice profile. Here is what it looks like in practice: every weekday morning, before the first meeting, a briefing is already waiting — pulling from three calendars, surfacing stalled projects by time horizon, and flagging one relevant IR or higher ed news item. It generated itself. Nobody triggered it. That is not a prompt library. It is a system that runs.
Core · Technical
Data Infrastructure & Pipelines
Python pipelines for graduating student survey analysis, National Student Clearinghouse transfer tracking, IPEDS integration, and retention modeling. Oracle/Banner SQL query design and schema mapping. 53,000+ admit records analyzed for competitor enrollment destinations. The most concrete example: the GSS 2026 dashboard — a 10-tab interactive HTML report built from Qualtrics export data covering both undergraduate and graduate graduating student surveys, with working filters, corrected methodology, and cabinet-level distribution across 16 versioned iterations. Not data analysis — a data product, built and shipped with AI as the primary development partner.
Core · Leadership
Executive Communication
Cabinet-level summaries, provost messaging, retention meeting framing, survey language precision. AI as editorial intelligence — tightening arguments, calibrating tone, maintaining consistency across high-stakes institutional communications.
Strategic
Enrollment & Financial Modeling
Enrollment scenario simulation. Merit aid equity modeling (a custom weighted scoring index built to evaluate merit award decisions against enrollment and equity outcomes). Bond rating analysis. Institutional peer benchmarking. FAFSA implications and financial aid strategy. AI used to pressure-test assumptions — not just retrieve information.
Strategic
Competitive Intelligence
Seven years of National Student Clearinghouse data analyzed to map where admitted students enroll when they choose a competitor. 97.6% IPEDS match rate across 1,395 destination institutions. 18-worksheet analytical reports supporting enrollment management strategy.
Operational
Compliance & Regulatory Reporting
IPEDS submissions, DAC Bond filings, U.S. News rankings coordination, NSF biographical sketches. AI as compliance partner — catching formatting errors, validating regulatory language, reducing turnaround time on high-stakes federal documentation.
Personal · Cognitive
Productivity & Cognitive Architecture
Workflow structuring, mental load reduction, strategic planning frameworks, tool ecosystem evaluation. AI as a cognitive prosthetic that offloads structure so executive function can focus on judgment rather than organization.
Personal · Intellectual
Philosophy, Culture & Creative Inquiry
Ideological and rhetorical analysis. Classical aesthetics and Aristotelian frameworks applied to contemporary media and art. Theological and liturgical inquiry. Alternate history and scenario construction. This is where the analytical mind plays.
The same precision and analytical discipline that structures IPEDS compliance work extends into personal and intellectual domains — financial planning, family decisions, interior life, cultural analysis. That consistency is not incidental. It reflects a foundational belief that rigorous thinking is a practice, not a job function.