Director – AI-Driven Construction Digitalization (f​/m​/d

Director – AI-Driven Construction Digitalization

Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem.

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 digitization 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 realization 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, Git Hub 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

What Success Looks Like Month 6:
First client engagements live; at least one AI solution in active use with a paying client; working methodology documented and replicable by the team Month 12:
Practice has a repeatable delivery model; pipeline is growing through referrals; you have identified the next capability bets and have the client relationships to validate them

What You Bring

Proven consulting background — has built or co-built a practice, business unit, or service line from scratch; not just delivered within an established one Track record of trusted, long-term client relationships at senior level — clients who call you first, not last Demonstrated ability to operate in ambiguous, unstructured environments and drive outcomes without a playbook Strong influence skills — can align technical teams, client stakeholders, and internal leadership without relying on formal authority Hands-on AI tool experience in a real work context:
Claude Code, Git Hub Copilot, Cursor, or equivalent — used to build, analyze, or iterate; not just cited on a CV Comfortable in a lean, high-ownership founding environment — two peers, no direct reports, high autonomy Fluent…