
Product Leader Who Creates Enterprise Value
I build product discipline that scales revenue and retention while controlling costs—by finding where value gets stuck and applying solutions strategically.
My approach: Understand the business first. Map where value gets stuck. Apply solutions—including AI—strategically to bottlenecks with measurable outcomes. Not experiments, strategy.
Enterprise Value I've Created
Measurable business outcomes: revenue growth, operational efficiency, and capital-efficient scaling.
- $15.3M
- Annual Revenue Impact
- Salesforce consolidation at Shift4 (top-line growth)
- 24%
- Sales Cycle Reduction
- Streamlined deal flow through product improvements
- 35%
- Task Completion Lift
- Usability improvements driving retention
Capital Efficiency: Small Teams, Big Leverage
- 2,138
- Features Managed
- 26-person team during hypergrowth (500→3,000 employees)
- 24
- Agile Teams Built
- Oracle UX organization from scratch
- 6–10 hrs
- Saved Weekly
- AI automation for recurring PM operations
Strategic AI Application (Not Experiments)
- ~20%
- Ticket Deflection
- Internal RAG assistant identifying bottleneck Pilot metrics
- ~250
- Questions/Week
- Meaningful Q&A volume at scale Pilot metrics
- ~150
- Weekly Active Users
- Slack micro-agents across the org
Revenue impact from Shift4 Salesforce consolidation. Pilot metrics based on Slack interaction logs and post-answer ratings. All outcomes are measurable and auditable.
How I Create Value
Understand the business first. Find where value gets stuck. Apply solutions strategically with measurable outcomes. Build product discipline that scales without killing velocity.
I Identify Bottlenecks First
- Map where value gets stuck before applying solutions
- Smart Notes PRD: identified 40% documentation time as the bottleneck
- Validation framework: mapped product delivery flow to find the constraint
I Apply AI Strategically
- AI applied to bottlenecks with measurable goals—not experiments
- Production RAG chatbots and agentic workflows (not demos)
- Strategic application: 30-50% documentation time reduction target
I Build Scalable Systems
- Built Oracle's UX org: 24 Agile teams, 130K employee reach
- Shift4: 2,138 features during hypergrowth (500→3,000 employees)
- Capital-efficient: leverage small teams for big outcomes
I Deliver Enterprise Value
- $15.3M revenue impact, 24% sales cycle reduction
- Outcomes PE firms care about: revenue, retention, efficiency
- Track record of measurable ROI, not just shipped features
Building Product Discipline That Creates Value
Map the flow. Find the bottlenecks. Apply AI strategically. Measure outcomes. A 30-60-90 day rollout for building product discipline that scales.
Days 1-30
Map & Foundation
Map value streams to identify bottlenecks. Stand up PM operating system. Demonstrate 2–3 strategic AI wins targeting identified constraints.
Days 31-60
Apply & Operationalize
Apply solutions to top bottlenecks with measurable goals. Turn the system into muscle memory. Embed AI into workflows strategically.
Days 61-90
Measure & Scale
Track outcomes against targets. Lock in the operating system. Create capital-efficient scale plan—leverage, not headcount.
Strategic Work Product
Each document demonstrates the same approach: identify bottlenecks, apply solutions strategically, measure business outcomes.
Career & Experience
$15.3M revenue impact, 24% sales cycle reduction, scalable product systems at Shift4 and Oracle.
AnalysisChiroHD Competitive Analysis
Market positioning and strategic recommendations. Bottlenecks identified: migration friction, documentation burden.
30-60-90Strategic PM Practice
Map bottlenecks, apply AI strategically, measure outcomes. Build product discipline that scales.
FrameworkOperational Excellence Framework
Eliminate PM as bottleneck, reduce defects 40%, scale delivery without adding headcount.
Strategic PRDChiroSwitch Migration Studio
Competitive moat investment. Reduce CAC, increase LTV, eliminate the migration friction bottleneck.
Strategic PRDIntake-to-Exam Smart Notes
40% doc time bottleneck → strategic AI → 30-50% reduction target. Retention play + competitive moat.
This Portfolio: Small Investment, Big Leverage
Built in 2 hours using Claude Code—including content strategy, competitive analysis, and two full PRDs. This is strategic AI application: identify the bottleneck (time to demonstrate value), apply AI to eliminate it, measure the outcome.
The PE principle: Small teams, big leverage. AI multiplies human capability when applied strategically—not as an experiment, but as infrastructure for creating value efficiently.
Let's Build the Product Team Together
I'm excited to discuss how AI-forward product leadership can accelerate ChiroHD's mission to transform chiropractic care.