Head of AI Transformation

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., * 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.

About Lansweeper:

Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.

In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth - so teams can move faster and act with certainty.

With Lansweeper, organizations can: See - Truly complete visibility across hybrid environments Know - Enriched asset intelligence with lifecycle and risk context Act - Automate workflows, coordinate remediation, and enforce policy at scale

From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.

Our culture:

We're built on four core values:

One Team - United across boundaries We Care - Customers and people at the center We Grow - Learning, sharing, improving We Deliver - Focusing on what truly matters

Team Info:

You'll join the Operations team, reporting directly to the Chief Operating Officer.

You have one direct report: an AI Enablement Specialist (training, adoption tracking, capability building).

You work closely with:

• Global Senior IT Manager (AI infrastructure, security, tooling implementation)
• Head of AI-Native Product Operations (product-side AI workflows and agents)
• VP of Engineering
• Legal Director
• Security Officer

You indirectly coordinate AI Ops leaders embedded in Engineering, Product, GTM, Marketing, Customer Success, HR, Finance, IT, and Operations.

Do you have experience in SaaS?, Do you have a Master's degree?, * 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.

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: The main challenges you'll face are: * 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.