Build the analytics
system your team
runs on.
Principal-level analytics architecture for growth-stage companies that can't afford to rebuild their data foundation twice.
Clean models. Governed metrics. Systems that scale.
You don't need another dashboard. You need architecture.
I work with founders and operators at the moment when analytics stops being reporting and starts becoming infrastructure.
Seed to Series C Founders
You're making foundational decisions now that will define how your data team operates at 10x scale.
Operators Standardizing Across Teams
Product, finance, and ops are running on different numbers. You need a governed metric layer before inconsistency becomes political.
Teams Preparing for AI
AI analytics tooling only works when the underlying data layer is clean, modeled, and governed.
Most engagements begin with a short scoping conversation. The right format becomes clear quickly.
Two ways to engage
Both models provide direct access to senior judgment. The difference is execution depth.
Principal Advisory
For teams with internal execution capacity who need confident architectural decisions.
- Architecture reviews & second opinions
- dbt modeling standards + code review
- Semantic layer design (MetricFlow)
- Async access + recurring working sessions
Investment: Engagements typically start at $12k/month
Build & Enablement
Hands-on design and implementation of your analytics foundation, documented and handed off cleanly.
- Stack audit + target-state architecture
- dbt project build: models, tests, and semantic layer
- KPI governance framework
- Executive-ready reporting
- Enablement + documentation
Investment: Projects typically start at $30k
Not sure which fits? A 30-minute scoping call is enough to figure it out.
What I build
Most analytics problems trace back to undefined metrics, ungoverned transformations, or reporting drift. Work is scoped to fix the root.
Analytics Architecture
Your stack, designed to scale.
- Warehouse design
- dbt project architecture
- Semantic layer strategy
- Cost + performance optimization
Metric & Reporting Systems
Multiple teams, one KPI definition.
- Single source of truth for company KPIs
- Cross-functional metric standardization
- Executive dashboards
- Automated reporting pipelines
AI-Ready Data Foundations
AI is only as good as the data layer underneath it.
- Governed semantic layer for LLM-ready querying
- Natural-language metric interfaces
- Anomaly detection workflows
- Documentation & lineage
Direct. Opinionated. Built to last.
Diagnose
Audit the stack, metrics, and reporting workflows. Identify where trust breaks.
Design
Produce a clear architecture document and implementation plan.
Build & Enable
Implement cleanly. Document thoroughly. Ensure it holds after the engagement ends.
Early analytics decisions compound.
Undefined metrics become boardroom arguments.
Ungoverned dbt projects become six-month rewrites.
Clean foundations accelerate everything that follows.
Tell me what's slowing you down.
Share what's breaking in the stack, reporting, or decision flow. A short note is enough to see if this is the right fit.