I work with data teams, design orgs, and universities to close the gap between what data means and what people think it means.
Whether you need a speaker, a teacher, a terminology audit, or an advisor who’s been in the trenches of AI-powered data products. Here’s how we can work together.
Speaking
Keynotes, panels, and workshops on AI systems design, content infrastructure, and the semantic layer.
I bring real stories from designing at Microsoft — the kind of talk where people leave saying “oh, that’s why our AI feels brittle” or “we need to redesign how decisions work.”
Best for: Conferences, corporate offsites, leadership events, hackathon keynotes
Teaching
University courses and professional workshops at the intersection of content design and data engineering.
My flagship course, Full-Stack Clarity, teaches the discipline of designing, naming, documenting, and validating data products — treating the content layer as infrastructure. No CS degree required.
Best for: Universities, bootcamps, corporate L&D, continuing education programs
Consulting
Terminology audits, naming system design, and data product content strategy.
I’ll evaluate your data product’s content layer — naming conventions, metadata quality, error messages, documentation, discoverability — and deliver actionable recommendations. Think of it as a content design review for your data infrastructure.
Engagements include:
- Terminology audit + style guide
- Naming convention design for schemas, metrics, and APIs
- Data catalog content strategy
- AI metadata quality assessment (are your column descriptions good enough for AI agents?)
- Error message and empty state redesign for data products
Best for: Data teams, platform teams, companies building semantic layers
Advising
Ongoing advisory for content design teams expanding into data products.
If your content design team is starting to work on data-heavy products — dashboards, data catalogs, semantic models, AI-assisted analytics — and you want someone who’s already navigated that transition, I can help your team build the skills, frameworks, and confidence to own the content layer of data infrastructure.
Best for: Design orgs scaling into technical domains, content teams on data platform products
Content Office Hours
Stuck on a content problem — error messages that don’t land, naming conventions that collide, data product copy that confuses more than it clarifies? Book a 1-hour session and bring the messy stuff. I’ll help you untangle it in real time.
Format: 1 hour, virtual, bring your real work
Best for: Content designers, data teams, PMs who know something’s wrong but can’t name it
Mentoring
I provide guidance for content design professionals expanding into data products, AI systems, and technical domains. Whether you’re making the leap from marketing copy to data infrastructure or building a case for your first content design hire on a data team — I’ve navigated those transitions and can help you do it with less friction.
What we cover: Career strategy, portfolio positioning, skill-building for technical domains, navigating ambiguity in new-scope roles
Format: Ongoing 1:1s, virtual, tailored to your goals
Discuss your mentoring goals →
Let’s talk
Every engagement starts with a conversation. Tell me what you’re working on and what you need.