Thinkproject has built one of Europe's most extensive software portfolios for managing complex construction projects — covering information management, document control, and asset lifecycle workflows across infrastructure, energy, and real estate.
The next phase is AI. We are standing up a new internal unit that will bring AI-powered analysis, decision support, and automation directly into how construction enterprises plan, deliver, and operate their assets.
This Director is the founding lead. You will define what the unit does, deliver with two AI Architects who share your objectives, and build the client relationships that make this practice self-sustaining. This is not a role for someone who joins a machine — it is a role for someone who builds one.
What you'll own
Practice building
Stand up the operating model, methodology, and delivery standards for Thinkproject's AI-driven digitisation practice — from the first engagement through to a repeatable approach. This is a 0-to-1 mandate: you have done this before and you know what it takes
Client relationships
Build and own trusted relationships with enterprise construction clients at C-suite level — the kind that survive a difficult project and generate the next one
Lead engagements end-to-end: problem definition, solution oversight, delivery, and value
realisation
Be the person clients call when they have a problem that isn't fully formed yet
Navigating ambiguity
Translate unstructured, ambiguous client challenges into structured AI or data-driven solutions - without waiting for a clean brief
Influence decisions across client and internal stakeholder groups without formal authority; get
things done through credibility, not hierarchy
Working with technical teams
Partner closely with two AI Architects who share your objectives — no direct line management, but full accountability for collective output
Bridge the gap between client intent and technical delivery: ensure what gets built is what clients actually need, and that it lands in practice
AI delivery (hands-on)
Personally operate in AI-assisted workflows using Claude Code, GitHub Copilot, Cursor, or
equivalent — not as a novelty, but as a working practice
Oversee the design and deployment of AI solutions from scoping through to production adoption
