10 years
experience across enterprise + founder roles
Selected work
Operational savings, faster delivery, and AI systems people trust.
10 years across Alaska, Nordstrom, GE, and SchoolIntel — $9M+ in financial impact, 40% faster delivery, 73% fewer production issues, and 95%+ AI extraction accuracy.
$9M+
documented financial impact
40% faster
deployment velocity
95%+
AI extraction accuracy
Trusted acrossAlaskaNordstromGESchoolIntel
Category index
Case 01 · Enterprise GenAI
RAG assistant with eval + trust guardrails
Case 01 / 03Alaska Airlines · 2024–2026
AI & GenAIProcess Excellence
Enterprise GenAI assistant for technical decisions
Principal Technical Program Manager
Turned scattered technical decisions into a secure RAG assistant teams could trust and actually use.
40%
faster deployment velocity
5 pods
coordinated across engineering
3 orgs
faster onboarding + decisions
Meeting transcriptsConfluence + ADO ingestionRetrieval evalsPermission-aware accessAdoption playbook
Read the full story
Context
A large airline IT org accumulated decisions across meetings, chats, and architecture docs faster than any team could absorb them. New hires lost weeks getting context; senior engineers re-litigated old debates.
Problem
Knowledge was high-volume, fragmented across systems, and politically sensitive. Off-the-shelf chatbots couldn't be trusted with the source material or the answers they produced.
Approach
Stood up a RAG-based assistant with curated ingestion (meeting transcripts, Confluence, ADO, chats), evaluation harness for retrieval and generation, and tight permissions. Drove platform decisions across cloud, security, and analytics. Designed adoption playbook so the assistant earned trust before broad rollout.
Complexity
Five engineering pods, security review, executive sponsors, and analytics dependencies. Required reframing GenAI as an evaluation problem, not a model problem.
Results
- 40% increase in deployment velocity from intake to release
- Faster onboarding and decision turnaround across analytics, engineering, and ITS
- Recognized internally as Alaska Airlines AI Champion (2026)
02
next case · Data Quality
Case 02 · Data quality
Upstream anomaly detection before dashboards
Case 02 / 03Alaska Airlines · 2024–2025
Data QualityAnalytics & BI
Data-quality product that earns stakeholder trust
Principal Technical Program Manager
Turned dashboard disputes into a monitored data-quality product that caught issues before they spread.
73%
anomalies caught pre-prod
95th %ile
stakeholder satisfaction
7 domains
aligned under one system
Anomaly detectionUpstream contractsWeekly triageExecutive reporting7-domain rollout
Read the full story
Context
Downstream products and executive reporting frequently disagreed on numbers. Each disagreement turned into a multi-week investigation; trust in data eroded across the org.
Problem
Data quality was a slogan, not a system. There was no shared definition of correctness, no anomaly detection, and no obvious owner for upstream issues.
Approach
Launched a data-quality product with anomaly detection at the upstream layer, paired with a clear contract for downstream consumers. Built operating cadences so teams triaged issues weekly instead of arguing in dashboards.
Complexity
Seven data domains, multiple business stakeholders, and an executive reporting layer that depended on the same pipelines.
Results
- 73% of upstream anomalies caught before production
- Stakeholder satisfaction in the 95th percentile
- Automated executive reporting from Azure DevOps for VPs and managers
03
next case · AI & GenAI
Case 03 · SchoolIntel
9-agent verification graph + 19-step system
Case 03 / 03SchoolIntel · 2025–2026
AI & GenAICustomer Experience
Multi-agent platform for parent-facing education intel
Founder / CEO
Built an agentic research platform that turns fragmented school data into parent-ready decisions.
1K+
monthly active users
95%+
extraction accuracy
19-step
automated onboarding system
9-agent pipelineVerification guardrails19-step onboardingSEO publishingEnd-to-end build
Read the full story
Context
Parents trying to evaluate school districts face fragmented board minutes, district sites, and ratings systems. The signal exists; the experience is missing.
Problem
Turning long, unstructured public documents into trustworthy parent-ready insights at the scale of thousands of districts — without hallucinations.
Approach
Designed a 9-agent AI pipeline with verification guardrails, plus a 19-step onboarding system that automated district research, ingestion, QA, SEO, and publishing. Built the product, the platform, and the operating system end-to-end.
Complexity
Solo founder operating across product, engineering, AI, content, and growth. Trust had to be built through accuracy, not marketing.
Results
- Grew to 1K+ monthly active users in launch year
- >95% extraction accuracy on board-document pipelines
- Repeatable onboarding system that scales without proportional headcount
More case studies
Five more programs.
Compact accounts of process, FinOps, BI, and CX work delivered across Alaska, Nordstrom, and GE.
Hero stat
$3M
saved · 50% gate staffing reduction
Automated seat assignment strategy
Led automated seat assignment strategy and delivery, reducing gate staffing by 50%.
Alaska Airlines · 2023–2024
Categories
Process ExcellenceFinOps
Hero stat
VP cadence
Director + VP reporting on autopilot
Executive reporting automation across ADO
Automated executive reporting from Azure DevOps for VPs and managers across Analytics, Business, and ITS.
Alaska Airlines · 2024–2026
Categories
Analytics & BIProcess Excellence
Hero stat
+7 NPS
+10% adoption · 32% efficiency lift
Customer experience roadmap at scale
Drove alignment across 25+ teams through prioritization frameworks and standardized workflows, improving operating efficiency by 32%.
Nordstrom · 2021–2023
Categories
Customer ExperienceProcess Excellence
Hero stat
$3.2M
managed · 90% forecast accuracy
Multi-budget forecasting & global delivery
Managed $3.2M across four global budgets and improved forecast accuracy by 90% through Tableau-driven financial visibility.
GE Grid Solutions · 2020–2021
Categories
FinOpsProcess Excellence
Hero stat
+10%
patient treatment rates
Patient cancellation KPI system
Built seasonal and weekly cancellation-rate KPIs in Sisense and Power BI to drive treatment-rate decisions.
GE Healthcare Digital · 2018–2020
Categories
Analytics & BICustomer Experience
Résumé
A decade of programs.
Career timeline · 2016 → 2026
2016
2018
2020
2022
2024
2026
- 2025 — PresentFounder / CEO
SchoolIntelParent-facing education intelligence platform with a 9-agent AI pipeline and a 19-step automated onboarding system.
Read case → - 2024 — PresentPrincipal Technical Program Manager
Alaska AirlinesEnterprise RAG-based GenAI chatbot, data-quality product, and end-to-end CI/CD intake strategy.
Alaska Airlines AI Champion (2026)Alaska Airlines Spot Bonus (2024)Read case → - 2023 — 2024Manager, Business Intelligence (Mgmt Consultant)Alaska Airlines
Led a 7-person analyst team to 95th percentile stakeholder satisfaction; drove $3M seat-assignment savings.
Alaska Airlines Spot Bonus (2023)Read case → - 2021 — 2023Staff Technical Program ManagerNordstrom
Aligned 25+ teams on a CX roadmap that improved NPS by 7 and adoption by 10%.
Nordstrom Spot Bonus (2022)Read case → - 2020 — 2021Senior Technical Program Manager
GE Grid Solutions · GE VernovaManaged $3.2M across four global budgets; delivered three products totaling $2.7M on schedule.
GE Above and Beyond Award (2020)Read case → - 2018 — 2020Senior Business Intelligence Engineer
GE Healthcare DigitalBuilt KPI systems that lifted patient treatment rates by 10%; led US financial reporting on AWS.
GE Above and Beyond Award (2019)Read case → - 2016 — 2018Technical Roles
GE Digital Technology Leadership Program · GE PowerAutomated $4M budget review (120+ hrs/qtr saved); integrated a $100M product line into S&OP planning.
GE Above and Beyond Award (2017)
Education
- M.S. — 2018Information ManagementUniversity of Washington · SeattleSpecialization: Program Management & Business Intelligence
- B.S. — 2016Business AdministrationUniversity of Pittsburgh · PittsburghInformation Systems · Supply Chain Management
Certifications
- Certified ScrumMaster (CSM)
- Six Sigma Green Belt
- Tableau
- Google Project Management
- Aha Product
Recognition
- Alaska Airlines AI Champion (2026)
- Alaska Airlines Spot Bonus (2023, 2024)
- GE Above and Beyond Award (×3)
- Nordstrom Spot Bonus (2022)
Next chapter
The work I do best sits between strategy, technology, and execution.
If your team is looking for a leader who can bring structure to ambiguity, align technical and business teams, and turn complex work into repeatable systems, I would be glad to talk.