Years building systems
Engineering, business systems, analytics, and data leadership across growth-stage companies.
Analytics engineering · Semantic systems · Decision infrastructure
Business Intelligence Engineering Leader
I lead analytics engineering teams that build trusted data systems, governed semantic models, and AI-ready decision infrastructure.
About
Building the systems behind better decisions.
My work sits at the intersection of architecture, governance, and intelligent automation: the layer that lets companies move faster without losing trust in their data.
I focus on the architecture behind analytics: governed models, reusable definitions, reliable pipelines, and workflows that make decisions easier to trust.
How I lead
Clarity over noise.
I prefer clarity over noise, systems over heroics, and long-term leverage over short-term fixes. My role is to reduce ambiguity, improve trust, and build environments where teams can execute with confidence.
Faster analytics delivery
Modernized ELT and modeling practices to remove delivery drag and improve consistency.
Revenue influence
Designed systems that connected product usage, account intelligence, and GTM execution.
Operating principles
How I build
Three principles I use to turn analytics work into operating leverage.
Truth
Define truth once
Metrics, KPIs, and business rules need one governed home, then they should flow into dashboards, workflows, and AI agents.
Trust
Scale trust before speed
Speed without trusted definitions creates expensive confusion. Governance is not red tape; it is leverage.
Leverage
Automate the drag
AI and workflow automation should remove low-value friction so teams spend more time on judgment, strategy, and execution.
Principles
What stays constant.
- Truth scales better than opinion.
- Systems should outlast personalities.
- Responsibility is carried, not announced.
- Trust is earned through consistency.
- Simplicity is hard work.
Selected work
Architecture tied to outcomes
A short view of the work. Deeper case studies live in the portfolio.
Governed semantic layer
Built the foundations for reusable metrics, stronger data-asset maturity, and AI-ready analytics consumption.
Read case studyAnalytics modernization
Implemented ELT and modeling standards that reduced delivery time by more than 80% in the first few months.
Read case studyRevenue systems architecture
Designed GTM and product-led systems tied to more than $15M in ARR opportunities.
Read case studyContact
Let’s build better systems.
For leadership opportunities and conversations about analytics engineering, semantic systems, or decision infrastructure, connect with me on LinkedIn.
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