I don't lead with technology. I lead with your problem, and then we figure out together what the right solution looks like. Here's what that process looks like in practice, and the kinds of work I do.
Before we talk platforms, we talk goals. I spend time understanding what your team is actually trying to accomplish, where data is breaking down, and what "success" looks like for the people who have to live with the outcome. This is the discovery work that most engagements skip — and it's why they struggle.
I design solutions that account for where you are, not just where you want to be. That means building with your team's capabilities in mind, your compliance requirements baked in, and your long-term roadmap visible. Data ecosystems that can't be maintained by the people who inherited them aren't solutions — they're expensive problems.
A tool nobody uses is worthless. A report nobody trusts is worse than useless. I invest heavily in the knowledge transfer, documentation, and training that makes what we build stick. My goal is always to leave your team more capable, not more dependent.
Analytics should tell you what's happening in your business — not just what happened to your website last Tuesday. I help teams design measurement frameworks, implement analytics across platforms (Adobe Analytics, Adobe CJA, GA4), build reliable data layers, and migrate away from sunset platforms without losing their historical context.
Platforms: Adobe Analytics · Adobe Customer Journey Analytics · GA4 · Google Tag Manager · Tealium iQ · Adobe Experience Platform Web SDK · ObservePoint
I help organizations answer the hardest AI question first: "What problem are we actually solving?" From there, I guide teams through framework development, responsible AI governance, tool evaluation, and the organizational change management that makes adoption real. I also build AI agents, RAG-based systems, and automation workflows that are explainable and built to be trusted.
Focus areas: AI strategy · Responsible AI frameworks · AI agent development · RAG architecture · Prompt engineering · Organizational AI literacy
CDPs are powerful. They're also wildly oversold. I help organizations evaluate whether a CDP is actually the right answer, select the platform that fits their actual use case (not just the best demo), and implement it with data governance and privacy compliance built into the architecture from day one.
Platforms: Adobe Real-Time CDP · Tealium AudienceStream · Tealium Customer Data Hub
If your tag manager is managing itself, something's gone wrong. I help teams audit their existing MarTech ecosystem, eliminate redundancy, and build toward a cohesive stack where every tool earns its place. Server-side tagging, consent management, data layer architecture — the unsexy stuff that makes everything else work.
Platforms: Tealium iQ · Google Tag Manager · Adobe Launch · Server-side tagging · Consent management
Data governance is the foundation everything else is built on, not a compliance checkbox. I help organizations establish data governance frameworks that protect user privacy, maintain data integrity, and create the kind of sustainable infrastructure that makes AI and analytics actually trustworthy.
Focus areas: Data governance frameworks · Privacy law compliance · Consent strategy · Data integrity · Documentation standards
Data that nobody reads doesn't help anyone. I help teams build reports and dashboards that communicate clearly to the stakeholders who need them — from CMO-level summaries to deep-dive analyst views — and develop the data literacy programs that help everyone speak the same language.
Platforms: Adobe Analytics · Power BI · Google Data Studio · Snowflake · Custom reporting frameworks