Data & AI Leader

Who they are

Data & AI Leaders shape strategic decisions with AI and data. They pick the high-impact opportunities, manage the risk that comes with them, and embed AI into products, services and operations.

Beyond strategy, they set the tone. A literacy program without its leaders stalls: teams read quickly whether AI and data are genuinely part of how decisions get made, or a side project. It is also the level that has to defend the investment, which is why measured skill growth matters more here than anywhere else.

Leaders do not need to build models, but they do need hands-on time with the tools themselves: enough to ask the right question about a business case, to judge a risk, and to tell a serious AI opportunity from a demo.

What they need to master

Accomplished Spotting AI opportunities, driving data and AI culture, and data-driven decision making, from reading the numbers behind steering decisions to spotting what a dashboard leaves out.
Developing Understanding AI, working with AI applications, responsible AI, and data storytelling and visualization.
Beginner Data and AI governance, so they know what is allowed and what the organization is accountable for, and enough data analysis and experimentation to judge the evidence behind a proposal.

Their training track

Hands-on AI for Leaders
AI Literacy for Leaders
From AI Productivity to Organizational Transformation
Governance, Value and Ownership for Leaders
Data Literacy for Leaders

Leadership tracks are built around your own work. The core is one day on site where each leader works in Copilot on their own material, builds prompts that hold up, turns one recurring task into something permanently faster to hand to their team, and ends on how to take their unit through the change. Three short online booster sessions and an AI agents module follow, an AI Champions community is there for those who want to go further, and a Skill Growth Assessment before and after shows what changed. On the data side, one afternoon has the leadership team trace its own board numbers down to the data under them and decide who owns what.

Where this persona sits

Leader is not the next step after Builder. It is a different job. Leaders come from every corner of the organization and are best trained as a cohort of their own, in parallel with the User and Builder programs so the whole organization moves at the same time.

Example job titles

CxO, VP, Head of, Partner

In their own words

I decide where we invest in AI and data, so I need to be able to challenge what I'm shown.

What learners say

What sets Data Booster apart for us is that the trainings feel purpose-built for Jaarbeurs from day one, because they are. The in-depth discovery phase ensured the content connected directly to the daily reality of our people.

CTO, Jaarbeurs

Book a discovery call