Growth systems, performance media, CRO, and marketing operations leadership.
I stabilize and scale growth systems.
My work sits at the intersection of performance media, CRO, analytics, marketing operations, agency governance, executive decision support, and AI-enabled workflows. The throughline is simple: make growth easier to see, easier to manage, and easier to improve.
I am most useful in environments where the work is important, the system is complex, and leadership needs clearer signal. Spend is moving. Agencies are involved. Reporting is noisy. Funnel quality is uneven. Teams are moving fast, but the operating model underneath the work needs more clarity.
That is the work I do: diagnose the system, clarify ownership, improve measurement, build operating rhythm, and turn repeated work into infrastructure.
For the canonical repo-by-repo relationship map, see the GitHub Ecosystem Map.
Shared terminology: Common Language.
Usage and rights: this portfolio is public for professional review, not open-source reuse. See Usage and Rights.
| Repository | Role in the system | Short identity |
|---|---|---|
growth-architecture-os |
Operating-system hub | Growth leadership structure, diagnostic frameworks, playbooks, templates, and decision logic |
marketing-intelligence-agent |
Intelligence and monitoring layer | AI-assisted monitoring, signal detection, risk triage, and briefing workflows |
marketing-ops-toolkit |
Utility and automation layer | Practical scripts and tools for marketing operations, audits, reporting, and campaign-health workflows |
marketing-ops-playbooks |
Repeatable method layer | Playbooks for taxonomy, QA, funnel review, governance, and performance diagnostics |
brand-context-system |
Intake and context layer | Working context bundle with structured JSON, demo source notes, selected code samples, asset manifests, Figma metadata, prompts, example output, and validation |
brand-design-system-starter |
Implementation and handoff layer | Tokens, foundations, component specs, CSS variables, and AI-assisted front-end handoff |
The index above shows the full public system. Featured work highlights the two anchor artifacts: the operating-system hub and the design-system implementation layer.
A public operating system for how I think about growth leadership.
This is not a normal portfolio. It is a structured view of how I walk into a messy growth environment, figure out what is broken, create order, and help the business make better decisions.
Longer thesis: Why I Run Growth Like a Platform Team
It includes:
- First-90-days operating model
- Public-safe case studies
- Performance media and CRO playbooks
- Agency governance frameworks
- Executive reporting templates
- Data dictionaries and taxonomy standards
- AI-enabled marketing operations workflows
- Governance and claim-discipline standards
The simplest explanation: it shows that I do not just optimize campaigns. I build the operating infrastructure that makes growth easier to manage and scale.
A portable design-system starter for translating brand context into tokens, foundations, component guidance, CSS variables, and AI-assisted front-end handoff.
This repo shows a practical tactic behind the broader Growth Architecture OS: take scattered brand, design, and front-end context and turn it into a reusable structure that humans and AI tools can apply consistently.
It pairs with brand-context-system: the context repo packages brand rules, voice, Figma metadata, asset manifests, selected code samples, prompts, and validation; the starter repo turns reviewed inputs into implementation-ready design-system structure.
- Growth operating systems — the standards, cadence, QA, and decision logic behind scalable demand
- Performance media infrastructure — investment strategy, channel roles, pacing, partner management, and full-funnel accountability
- CRO and funnel systems — roadmap structure, test logic, conversion diagnosis, and enrollment or revenue-path clarity
- Marketing operations workflows — taxonomy, reporting, data validation, monitoring, and repeatable execution systems
- AI-enabled operating tools — source-aware workflows for briefs, readouts, diagnostics, QA, and executive communication
- Brand and design-system handoff layers — structured context, tokens, components, and AI-ready front-end guidance for consistent execution
- Diagnostic first — understand the system before prescribing solutions
- Systems over heroics — build structure that does not depend on one person holding everything together
- Signal over noise — separate what is happening from what merely looks urgent
- Governance that improves performance — clarify ownership, standards, and decision rights without adding bureaucracy
- Decision-ready communication — turn reporting into tradeoffs, risks, and recommended action
I am building practical systems for growth leadership: performance media operating models, CRO roadmaps, AI-enabled marketing operations, executive decision support, brand/design-system handoff, and reusable frameworks for scaling complex marketing environments.
The goal is simple: make growth systems more visible, more governable, and more repeatable.