Data & analytics

Hire a data and AI lead in Greece and Cyprus

A pragmatic operator who puts data foundations before demos and backs only the use cases that pay for themselves.

Interest in AI has arrived in Greek and Cypriot boardrooms well ahead of the data needed to act on it. A data and AI lead closes that gap in the right order: foundations and governance first, so the numbers can be trusted, then use cases with a business case attached, such as demand forecasting, pricing support, and the automation of manual back-office work.

The data and AI leads on Hellenic Talent come from top consultancies, Big 4 firms, and senior industry data roles. Just as important is what they will not do: pilot technology for its own sake, or sell a mid-market company outcomes that only exist at enterprise scale.

What does a data and AI lead actually do?

Put the data foundations in order: sources, ownership, quality, and a governance rhythm that holds
Build reporting the leadership trusts enough to retire the parallel spreadsheets
Select and sequence AI use cases by business value, not novelty
Deliver forecasting, pricing support, and back-office automation that teams keep using
Choose tools and vendors sized for the company rather than the sales pitch
State plainly what AI cannot yet do for the business, and revisit as the field moves

How to choose the right data and AI lead

What to test in the first conversation, whoever you end up hiring.

Shipped, not piloted
Has taken data work all the way to production, not only to proof of concept.
Business case first
Leads with the business case and treats the technology as the means to it.
At home in the mid-market
Fluent in the systems mid-market Greek and Cypriot companies actually run on.
Names the limits of AI
Candid about what AI cannot yet do for your business, before any tool is bought.
Capability stays with your team
Works with a small internal team and leaves capability behind when the engagement ends.