Head of AI Transformation

Head of AI Transformation

Lansweeper has spent 21 years adapting to market shifts. The AI era is the largest shift yet — and we are ahead of most. AI adoption is complete. The vast majority of our employees actively use AI tools. Engineering runs an AI‑native development lifecycle. Early automation has delivered material savings.

Now we enter the next phase in our journey to become an AI‑native organization: AI industrialization.

Our 5‑year plan requires significant revenue expansion on modest headcount growth. That only works if AI becomes embedded in our operating model — across workflows, governance, decision‑making, measurement, and enterprise infrastructure.

As Head of AI Transformation you build and lead our company‑wide AI operating model in close collaboration with the departmental AI Ops leaders. You drive AI strategy execution, AI governance, AI measurement, and AI‑native transformation at scale.

This is a newly created, global leadership role at the center of our AI transformation.

• Turning high AI adoption into measurable operating leverage (output per person, cycle time, cost‑to‑serve).
• Designing a scalable AI governance framework (EU AI Act aligned) without slowing innovation.
• Leading cross‑functional AI transformation without direct authority over departmental AI Ops leaders.

• Co‑define and maintain the company‑wide AI strategy, aligned with ExCo, other AI leaders and embedded into departmental plans.
• Build and run the AI operating model (hub‑and‑spoke structure). You will run the hub.
• Coordinate the AI Steering Committee (Engineering, Product, GTM, HR, Finance, Legal, Security, IT).
• Prepare and consolidate the monthly AI performance update for ExCo and Board via the COO.
• Coordinate the internal network of departmental AI Ops leaders to ensure alignment, leverage, and shared standards.

• Instrument the AI governance operating model: decision rights, cadence, escalation paths, consolidated risk view.
• Define company‑wide requirements for approved AI tools, IP protection, data leakage prevention, shadow AI monitoring, and responsible AI usage in close collaboration with the security officer.
• Design the governance model for employee‑built AI tools (prototype‑to‑production framework).
• Maintain working knowledge of the EU AI Act and other applicable regulations; partner with Legal on compliance posture.

• Orchestrate the set up and maintenance of the enterprise AI context layer and knowledge infrastructure (with IT as technical owner).
• Define the decision framework for AI tooling convergence and AI platform evaluation.
• Stand up a global AI skills‑sharing mechanism to reuse AI workflows safely across teams.
• Coordinate evaluation and recommendation of new AI models and enterprise AI platforms.

• Own the AI measurement framework connecting AI initiatives to business impact.
• Make AI performance data visible and actionable for ExCo and department leaders.
• Surface blockers and decision points required to unlock the next phase of AI‑native scale.

• Partner with HR on AI training programs (Responsible AI, workflow automation, function‑specific AI fluency).
• Integrate AI capability into hiring, onboarding, and performance conversations.
• Drive enablement‑first accountability across the organization.

• 10+ years in AI transformation, strategy execution, operational leadership, or enterprise transformation within SaaS.
• Proven experience building an AI operating model, governance framework, or transformation program from scratch.
• Demonstrated hands‑on experience using LLMs, AI automation, AI workflows, or AI‑native systems.
• Experience leading large‑scale cross‑functional programs without direct authority.
• Good understanding of AI regulatory compliance in a global SaaS environment.

• Executive presence — able to report at ExCo level.
• Influence‑driven leadership in complex, global organizations.
• High ambiguity tolerance with structured decision‑making capability.

• Hybrid working model from our…