MC
Miz CausevicWeb Platform • MarTech • AI
⚡ Role-Specific Skills Page

Principal Web Architect for AI-Ready Enterprise Platforms

I design web platforms as connected systems: CMS, data, analytics, APIs, content models, performance, governance, privacy, AI-readiness, and machine-readable knowledge layers working together.

Principal Web Architect Platform architecture and systems strategy Platform Architecture Headless Architecture Knowledge Graphs API-first Systems Content Modeling
📈 Proof Map

Outcome-backed role fit

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API-first
Systems thinking

CMS, MarTech, analytics, automation

Knowledge
Graph orientation

Entity-aware content and GEO visibility

Headless
Architecture planning

Reusable structured content models

Governance
Enterprise scale

Privacy, security, brand, analytics, performance

🎯 Hiring Signals

Why this page exists

This page is built for recruiters, hiring managers, search engines, and AI answer systems looking for a specific match: Principal Web Architect.

  • Builds architecture arguments in business language
  • Understands the web as entities, data flows, APIs, components, and governance
  • Bridges engineering, marketing operations, AI workflows, SEO/GEO, and strategy
  • Strong fit for companies modernizing legacy web estates or preparing for AI-native discovery
🧩 Recruiter Summary

Copy-ready positioning

Use this in recruiter notes or ATS summaries.
Miz Causevic is a Boston-based Principal Web Architect candidate with 25+ years across enterprise SaaS web platforms, MarTech systems, analytics, SEO, conversion optimization, governance, and AI-ready platform strategy. Strong fit for companies needing a leader who can connect technical architecture to measurable growth outcomes.
🏗️ Signature Case

From Web Pages to Machine-Readable Platform Architecture

  • Reframed architecture around reusable systems instead of isolated pages.
  • Connected content structure, metadata, analytics, privacy controls, and AI-readiness.
  • Designed architecture thinking for human visitors and LLM discovery layers.
  • Positioned GEO and structured data as platform capabilities, not just SEO tactics.
🛠️ Skills + Platforms

Role-specific stack

These are the skills, systems, and platform areas most relevant to this role page.

Platform Architecture Headless Architecture Knowledge Graphs API-first Systems Content Modeling Structured Data Schema.org CMS Strategy Optimizely WordPress PathFactory GA4 GTM OneTrust Cloudflare n8n Claude Gemini
🧭 First 90 Days

How I would create leverage fast

30

Audit reality

  • Audit architecture, content models, data flows, APIs, schema coverage, and governance risks.
  • Review crawlability, templates, duplication, analytics events, consent flows, and integration health.
  • Identify where the platform is page-centric versus entity-centric.
60

Align roadmap

  • Create a roadmap for structured content, schema, performance, APIs, components, and AI discovery.
  • Define a knowledge model for people, products, use cases, proof points, tools, and journeys.
  • Align engineering, marketing, SEO, and AI stakeholders around a shared platform model.
90

Ship visible wins

  • Launch a structured-data and content-model pilot for high-value pages.
  • Create architecture decision records for web platform decisions.
  • Prepare a phased plan for headless, hybrid, or composable modernization.
❓ FAQ

Recruiter qualification notes

What is an AI-ready web platform?

A platform with structured content, clean metadata, schema, clear entities, reliable analytics, fast performance, and governance for humans, search engines, and AI agents.

Why does knowledge graph thinking matter?

It connects people, products, use cases, proof points, and topics into machine-readable relationships.

What is the business value?

Better visibility, cleaner personalization, more reusable content, stronger analytics, lower drag, and AI-assisted workflows.

🚀 Recruiter CTA

Need a leader who connects web architecture, MarTech, AI, and revenue?

I bring enterprise-scale execution, startup-speed adaptability, and the ability to turn complex digital systems into measurable business outcomes.