type: role
slug: data-analysis-evangelist-ai-training
name: Data Analysis Evangelist and AI Training
description: Owns analyst education, example quality, and AI workflow training through tutorials, templates, and feedback loops.
owner: dave
status: planned
Data Analysis Evangelist and AI Training
About the Role
This role sits at the intersection of analytics practice, product education, and AI quality. Dataface needs someone who can operate as the product's first real power user, show others how to use it well, and convert great analytical practice into examples, teaching materials, and training inputs that improve both product adoption and AI usefulness.
The best candidate will be equally comfortable creating a compelling tutorial, critiquing an analysis workflow, building example dashboards and notebooks, and helping train the AI system with realistic prompts, edge cases, and evaluation scenarios. This is a leverage role: the content and feedback produced here improve onboarding, trust, and product quality at the same time.
What You'll Do
- Create high-quality tutorials, walkthroughs, templates, example analyses, and demonstration assets that help users understand how Dataface should be used.
- Act as a real practitioner of the product, identifying friction, weak assumptions, and missing capabilities from an analyst's point of view.
- Translate strong analytical workflows into prompts, examples, benchmarks, and training inputs that improve the AI analyst system over time.
- Help shape best practices around how analysts should interact with AI-assisted tooling for data exploration, dashboard creation, and narrative explanation.
- Partner with product, design, and engineering to ensure examples and education content reflect the most valuable and realistic user journeys.
- Serve as an external-facing voice for the product through demos, posts, talks, or workshops as the launch strategy evolves.
What We're Looking For
- Strong hands-on analytics background, ideally spanning BI tools, SQL, exploratory analysis, and data storytelling.
- Excellent communication and teaching ability, especially for technical audiences.
- Ability to create polished, credible examples that demonstrate both product capability and analytical rigor.
- Comfort working with AI-assisted workflows and helping define what good analyst-AI collaboration looks like.
- Strong product instinct and a willingness to act as both teacher and critic.
- Taste for clarity, precision, and quality in analytical output.
Why This Role Matters
Dataface will succeed faster if users can immediately see what good looks like. This role creates that clarity. It helps users learn, helps the community understand the product's strengths, and helps the AI team improve system behavior using realistic analytical practice instead of abstract benchmark tasks.