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Allison Marx, Technical Humanist

I work on the parts people need to trust.

I bring fifteen years of digital analytics, measurement, and hands-on implementation to AI decisions, with close attention to the people who have to use the result.

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Allison Marx, standing, in a blue jacket.
Allison

The short version

How I got here.

15 years in the weeds.

I started in data. Building the tables, pipelines, and definitions that reports and, later, models depend on. That work taught me where projects go wrong: not in the model, usually, but in the handoff between the people who own the data and the people who need the answer.

From there I moved into solution design & implementation, building systems that marketing teams ran themselves. I learned to write the access rules, the exception paths, and the review steps first, because those are the parts that decide whether anyone trusts the output.

Technical Humanist is the practice that came out of that. The name is the job description: technical enough to build the thing, humanist enough to keep asking who has to live with it.

Background.

Experience
Fifteen years across digital analytics, implementation, consulting, solution architecture, marketing technology, and AI enablement. My career has included Georgia Tech, Disney, UPS, a chapter in Brussels, and analytics consulting since 2016.
Sectors
Healthcare, financial services, automotive, entertainment, and non-profit.
Certifications
  • AI Solution Architect certification, 2025
  • Adobe Analytics Champion, 2025–2026
  • Adobe certifications across Analytics, Customer Journey Analytics, and Real-Time CDP
  • Amplitude Foundations certifications in Analytics, Data Management, and Experiment, 2026
  • Google Analytics certified
Platforms
Adobe Analytics, Customer Journey Analytics, Adobe Launch, Tealium, GA4, Mixpanel, Amplitude, data layers, APIs, CRM integrations, and the workflows that connect them.
Education
Computational Media, Georgia Institute of Technology.

Two examples

Work where the decision mattered.

Anonymized. Sector descriptions are kept broad enough to protect identity.

Example one · Assessment

Data sprawl made it difficult to measure true advertising efficacy.

Starting problem
An automotive company had 20+ dealer sites under their purview - but not all of them tracked key conversions the same way.
What I did
I ran ObservePoint audits, GA4 and GTM audits to piece together the full story - what worked, what didn't, and why, using AI to help find trends and anomalies in large amounts of data quickly. Then, I provided prioritized recommendations for developers to address.
What changed
Conversions were better tracked and optimized against across paid and organic channels - for every dealer. This allowed the company to put dollars against campaigns that were truly working the best.

The nearest service today: AI Foundation Diagnostic.

Example two · Workflow

Monitoring donations when they mattered most.

Initial process
Donation tracking breakages were undetectable until 24 hours had passed - an impactful data loss during their peak season.
Change introduced
I configured a custom workflow to pull data from Adobe Analytics, process it for zero-donation conditions by region, and push hourly alerts to Slack.
Observed result
Tracking issues identified and addressed within hours, not days. Contributed to an overall reduction in donation tracking variance from 22% to 7%.

The nearest service today: Automation Build.

Working together

What it's like.

You'll hear plain answers.
If something isn't ready, I say so, and I say what would make it ready, plainly enough to repeat to your CEO. No jargon without a definition in the same sentence.
Scope is written down.
Every engagement has a fixed scope and a fixed fee, agreed in writing before the work starts. If either changes, it changes in writing first.
Your team stays in the room.
I work with the people who run the workflow, not around them. They're the ones who'll own it after I leave.
It starts small.
Every working relationship starts with one fixed, limited engagement. If it earns a second, the work gets better, because I already know your systems and your people.
You keep everything.
Briefs, maps, specifications, documentation, and the systems themselves are yours at handoff.
Allison taking notes during a working session.
Working session

From people I've worked with

Colleagues and partners.

Coworkers and collaborators, not clients. Client outcomes are on the service pages. Excerpts from 2025-2026 company award submissions.

“Allison is a genius. She is also kind and is always willing to share knowledge and train people whenever she can. To have all of that in one person is super rare.”

“Even when Allison clearly knows the best path forward, she intentionally creates space for others to speak, contribute, and grow. She's the kind of teammate who pushes boundaries, elevates standards, and challenges us to be better, all while making everyone around her feel valued and heard.”

“Allison consistently stays at the forefront of the latest tools, ideas, and industry trends. Her expertise and reliable execution make her someone the entire team can count on.”

Right now

Current focus.

Marketing leaders with an AI mandate and limited specialist support, whether they run a team or are the team. Finding the first fix, measurement you can trust, workflow design, and bounded builds with a human review step.

Most of my clients lead marketing at growing companies of roughly 20 to 200 people: big enough to have real systems, small enough that nobody’s full-time job is AI. Some of them run a marketing team; some of them are the marketing team. I also work with the marketing ops and analytics people who own the data underneath.

Where
Remote, US Eastern time
Hours
Monday to Friday, 9am-5pm ET
Practice
Independent, operated through Technical Humanist LLC
Writing
Field Notes, when there’s one worth publishing

Off the clock

Wife / Mom / Baker / Crafter

Bringing the "human" to Technical Humanist. My hobbies are just as detail-oriented as I am at work!

You can find me making crafts or bakes for family & friends, playing board games or doting on my kiddos and my dog.

Working with AI

How I decide when AI belongs in a workflow, where judgment stays with a person, and how client data is handled. Reviewed twice a year.

Read the page →

Where this usually starts.

Most people reach out with one of four things: a workflow that isn’t working, a proposal they don’t want to sign blind, an AI mandate without a first step, or leadership expecting more from AI than the data can support today. Any of those is a fine reason to book 30 minutes.

Book a 30-minute callSee the servicesTake the free Snapshot

Free introductory conversation. No preparation required.

Agency or consultancy? I also work as a specialist under your engagement.