Data & AI persona

Data & AI Builder

Designs AI products and workflows and turns data insights into results.

Data & AI Builder

Who they are

Data & AI Builders work with data on a day-to-day basis, but they are not in a data role. They deep-dive into the data to find insights that raise revenue or lower cost, and they mainly do that in business intelligence and analytics tools.

Their advantage is domain knowledge. They know how the business actually works, which is exactly what is needed to spot a worthwhile AI or analytics opportunity, and to recognize the ones that will never survive contact with reality.

Builders are the bridge between the User group and the data specialists. When this persona is skilled, ideas reach the data team already sharpened, and AI pilots start from a real problem. It is also the group most Data & AI Champions are recruited from.

What they need to master

  • Accomplished Understanding AI, spotting AI opportunities and making the case with data, and data-driven decision making.
  • Developing Working with AI applications and agents, responsible AI, working with data tools (BI and SQL), data analysis and experimentation, data storytelling and visualization, and driving data and AI culture.
  • Beginner Building AI applications, and data and AI governance.

Their training track

  • Spotting AI Opportunities
  • Introduction to Agentic AI
  • Building Agents in Copilot Studio
  • Your Role as AI Champion
  • Data Visualization and Storytelling
  • SQL Fundamentals

Depending on the tools your teams work in, we add hands-on tracks such as Tableau, Power BI or SQL. Exercises run on your own data and use cases, so what people build during the training is usable afterwards.

Where this persona sits

Builder sits between Data & AI User and the data specialist roles. Users grow into Builders when they start producing insight instead of only consuming it. Builders who move into leadership need the Data & AI Leader skills: culture, portfolio choices and risk.

Example job titles

Product Manager, Marketing Manager, Finance Manager, Business Analyst

In their own words

I build AI workflows and dig into the data myself, and I decide what we do with both.

What learners say

The practical exercises were among the strongest parts of the programme. They turn the course from a learning experience into an enablement experience.

Learner, Data & AI School

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Our impact in numbers

Course completion rate

80%

vs 46% for paid MOOC learners

Average skill growth

21%

Measured pre vs post, never self-reported

Learners on our platform

10,000+

At organizations like PGGM, Just Eat Takeaway & Jaarbeurs

Keep exploring

The other personas

Most organizations run the User, Builder and Leader tracks in parallel: the whole workforce moves at once, each group on the skills their own job needs.