Enterprise Customer Intelligence Architect
I help enterprise brands design trusted customer data systems across analytics, consent, identity, journey intelligence, personalization, and AI-readiness.
My work sits at the intersection of Adobe Experience Cloud, Google Marketing Platform, customer data architecture, measurement strategy, and personalization systems. I help teams move from fragmented tracking and disconnected reporting to governed customer intelligence that supports better decisions and AI-ready experiences.
Associate Director at Razorfish · Adobe Analytics Architect Expert · Dallas / Remote
What I solve
The problems that quietly undermine growth, trust, and decision-making
When the foundation is weak, every downstream activation and insight becomes more expensive and less trustworthy.
Fragmented Customer Data
When web, app, CRM, media, and offline touchpoints do not connect, customer journeys become invisible.
Broken Measurement Trust
When tags fire inconsistently or definitions change across teams, reports lose credibility.
Adobe + Google Stack Gaps
Many enterprises run Adobe and Google together but struggle with event parity, attribution, and reporting alignment.
Consent & Governance Complexity
Privacy, consent, schemas, naming standards, and data quality need to be designed into the system from the start.
Personalization Readiness
Personalization depends on clean audiences, real-time profiles, trustworthy behavior data, and measurable outcomes.
AI-Readiness Gaps
AI is only as useful as the customer data foundation behind it. Messy data creates weak automation and poor decisions.
Signature framework
The Customer Intelligence Layer
A practical framework for turning digital behavior into governed, actionable customer intelligence.
Collect
Web, app, campaign, CRM, service, and offline events
Govern
Consent, privacy, schemas, naming standards, QA, data quality
Stitch
Identity, profiles, known/unknown behavior, cross-channel journeys
Analyze
Adobe Analytics, CJA, GA4, BigQuery, Looker, dashboards
Activate
RT-CDP, AJO, Target, audiences, journeys, personalization
Optimize
Experimentation, AI-assisted insights, conversion, retention, growth
Industry Labs
Public strategy studies and reference architectures
These labs show how I approach big customer data, measurement, personalization, and AI-readiness problems in enterprise environments.
AI-Ready Customer Intelligence Blueprint
A reference architecture for connecting collection, governance, identity, analytics, activation, and AI-readiness.
Adobe + Google Measurement Parity Framework
A model for aligning Adobe Analytics, CJA, GA4, GTM, BigQuery, and reporting definitions.
Real-Time Personalization Architecture
A practical view of how RT-CDP, AJO, Adobe Target, analytics, and customer profiles work together.
GA4 to BigQuery Analytics Mart
A strategy for transforming raw GA4 event data into reliable customer, session, and conversion reporting layers.
Stack
The tools that sit inside the customer intelligence layer
Adobe Experience Cloud
- Adobe Analytics
- Adobe Tags / Launch
- Adobe Web SDK
- Adobe Experience Platform
- Customer Journey Analytics
- Real-Time CDP
- Adobe Journey Optimizer
- Adobe Target
- XDM, schemas, datasets, identity, governance
Google & Data Stack
- GA4
- GTM
- BigQuery
- Looker Studio
- SQL
- server-side tagging concepts
- event modeling
- reporting marts
Strategy & Governance
- data layer architecture
- event taxonomy
- consent-aware measurement
- QA frameworks
- analytics requirements
- implementation standards
- stakeholder translation
About
I work best where business questions, technical systems, and messy data collide.
I started from an engineering and development background, then moved into analytics because I enjoyed solving invisible problems — the kind where the website looks fine, but the data telling the business story is wrong. Today, I focus on customer intelligence: helping teams design measurement and data systems that are trusted, governed, and ready for personalization and AI-driven experiences.
Available for senior roles, consulting, and advisory work
If you are hiring for a senior martech, analytics, or customer data architecture leader, or need an architecture review, I would be glad to connect.