Measurement science.
AI fluency.
Enterprise outcomes.
I/O Psychology practitioner architecting workforce transformation that proves, adopts, and scales.
What's unusual: psychometrics, assessment architecture, and competency frameworks as native vocabulary.
What's fluent: scoping the proof-of-value (PoV), measuring adoption with leading indicators, and translating the result into a narrative leadership can defend.
Also: Cellist · Tech enthusiast · Gamer · Father
What I bring to the table
Value architecture means building the proof, adoption, and measurement that make enterprise software pay off, and proving it to the executives who funded it. Measurement before frameworks. Adoption before activation theater.
Proof-of-value design & executive narrative translation
Structured PoVs scoped to assessment and usage metrics that prove the case, plus executive-facing narratives that translate skills intelligence methodology into stakeholder-ready value for senior technology and HR leadership.
Adoption measurement & partner-health dashboards
Leading-indicator measurement that drives time-to-first-value: gamified assessment frameworks, Power BI dashboards on validated completions, and partner-health scorecards built for Quarterly Business Review (QBR) delivery and continuous proof.
Integration validation & reusable enablement IP
Seven-team enterprise deployment governance across security, IAM, finance, software advisory, communications, learning, and HRIS. ACMP/PROSCI-grounded playbooks engineered as reusable IP that compounds beyond any single engagement.
Precision + passion
Enterprise value architecture starts with measurement science and scales through adoption metrics.
Don't just take my word for it
See the artifacts: PoV teardowns, scoping tools, and reusable enablement IP from real engagements.