At a Glance
- Tasks: Lead AI transformation and build a company-wide AI operating model.
- Company: Join Lansweeper, a pioneering SaaS company embracing the AI era.
- Benefits: Enjoy hybrid work, flexible hours, and global collaboration opportunities.
- Other info: Diversity-focused workplace with a commitment to equal opportunity.
- Why this job: Shape the future of AI in a high-impact leadership role.
- Qualifications: 10+ years in AI transformation and operational leadership required.
The predicted salary is between 70100 - 100000 £ per year.
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.
Challenge
- 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.
Key Responsibilities
- AI Strategy & AI Operating Model: 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.
- AI Governance & Responsible AI: 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.
- AI Infrastructure & Tooling Convergence: 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.
- AI Measurement & Operating Leverage: 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.
- AI Enablement (in partnership with HR): 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.
Key Requirements
- Hard skills: 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.
- Soft skills: Executive presence — able to report at ExCo level. Influence‑driven leadership in complex, global organizations. High ambiguity tolerance with structured decision‑making capability.
Our Offer
- Hybrid working model from our Austin (US) or Merelbeke (BE) office.
- Global, high‑impact Director role reporting directly to the COO.
- Opportunity to build and lead a newly created AI Transformation function in an AI‑native SaaS company.
- Career growth in AI strategy, governance, and AI‑native transformation.
- Flexible working hours.
- Company events and international collaboration opportunities.
Head of AI Transformation employer: Lansweeper NV
Lansweeper is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to lead the AI transformation journey. With a strong focus on career growth, flexible working hours, and a commitment to diversity, our team enjoys collaborative opportunities across global offices in Austin and Merelbeke, making it an ideal place for those looking to make a meaningful impact in the AI landscape.