Lead the next chapter of refurbed's AI & Tech transformation, building on the foundations in place to make refurbed a truly AI-native company. Refine and push the strategy and roadmap further, embedding AI and technology tools and mindset ever more deeply into how teams work everyday.

This role owns both sides of the transformation: the change-management side (strategy, adoption, upskilling, governance) as well as the technology and IT enabler side (internal AI tooling, corporate IT, and the team that builds and runs both).

Success is measured by real productivity gains, upskilling progress, durable cultural change, and the reliability and velocity of refurbed's internal technology backbone.

Key responsibilities:

AI transformation and change management:

• Refine and lead refurbed's AI transformation strategy in alignment with business and technology goals
  • Evolve refurbed's AI strategy into a clear, prioritized portfolio of initiatives with owners, timelines, and impact targets
  • Regularly review and adjust the portfolio based on business performance, risks, and learnings
• Scale adoption of AI-first ways of working (productivity, automation, and improved decision-making) across all functions, partnering with department leads to deepen AI integration into employee workflows and systems
• Continue to drive company-wide change management: AI literacy, role-specific upskilling, and hands-on enablement for teams and leaders
• Evolve and own AI governance, including responsible usage, data readiness, tooling standards, and measurement of impact

Technology and IT enabler:

• Set direction for internal AI engineering: the portfolio of internal AI tooling, agents, automations, integrations, and shared services that unlock productivity across the business
• Drive build-vs-buy recommendations to the CPTO across the AI tooling landscape - bring the analysis, the trade-offs, and a clear point of view; own the third-party AI stack and general business tooling in close partnership with the CPTO and product engineering
• Own corporate IT outcomes end-to-end (device management, identity and access, SaaS administration, helpdesk, IT operations) and the standards for how internal systems, tools, and data are integrated so AI can be deployed effectively - including a registry of what runs at refurbed, who owns it, and status, etc.

Team and hiring:

• Lead and develop a small cross-disciplinary team of AI & IT Engineers and admins, building a high-performing function and a strong engineering and IT service culture

Ideal profile:

• Track record leading cross-functional AI or digital transformation end-to-end (strategy through adoption) in a scaling tech company or top-tier technology / IT advisory environment; alternatively, a technical degree with a deliberate move into business, strategy, or transformation roles
• Engineering background strong enough to drive architecture and challenge senior engineers on architecture and trade-offs - you don't need to write production code, but you can read it
• A product mindset for internal products and services and internal customers
• Deep change-management expertise: turning new ways of working into durable habits rather than one-off rollouts; strong stakeholder management across senior leaders and department champions
• Structured thinker and communicator: frames messy cross-functional problems, drives trade-offs, and produces decision-ready material for C-Level; comfortable owning a portfolio (prioritisation, ROI, regular steering)
• Working fluency with the modern AI engineering stack (LLMs, agents, MCPs, plugin/skill ecosystems, coding assistants, agent harnesses); credible technical sparring partner for senior engineers on the AI stack and integration patterns
• Leadership exposure to internal AI/engineering teams and classical IT operations - owning outcomes through a team, not personally administering systems
• Nice to have: AI governance / EU AI Act exposure; marketplace, e-commerce, or scaling-org context