Head of AI Adoption & Enablement HBX Group is the world's leading technology partner, connecting and empowering the world of travel.
We're game-changers, disruptors, the people who bring together local and general brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets.
We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none.
And of course we have an amazing team! Our people, Team HBX Group, are the beating heart of the company who we encourage to 'move fast, dream big and make the difference' every day.
In fact, we believe that it is tech + data + people that truly sets us apart in the market, alongside our 'global approach, local touch' mentality.
We're headquartered in Palma, Mallorca and employ around 3,500 people worldwide.
Purpose of the role: The Head of AI Adoption & Enablement is responsible for ensuring AI is effectively deployed and used across HBX, enabling the organization to adopt and scale AI capabilities across all functions.
As an AI thought leader for the organization, the role continuously scans the market for emerging AI capabilities to ensure HBX stays at the forefront of practical, secure and scalable AI usage across all functions.
Working in close partnership with Technology, the role co-defines which AI platforms and vendor capabilities are used and how they are applied, ensuring alignment with enterprise architecture and security standards.
The role owns the central demand management and prioritization of AI use cases (individual-contributor level and mid-tier functional level), ensuring opportunities are prioritized based on value, feasibility and scalability, and translated into measurable usage and impact, with thorough cost control.
The role enables functions to deploy AI effectively by providing AI literacy training, guidance and tools, ensuring teams can adopt and implement use cases in a controlled, consistent and secure way.
The role also supports the AI-empowered Workforce strategy by enabling the tools, capabilities and ways of working required to scale highest-impact AI initiatives.
Responsabilities: Define and drive adoption of the enterprise AI stack, including copilots, agentic platforms and embedded SaaS capabilities, in partnership with Technology and key vendors.
Ensure alignment with technology, data and security standards, and translate business priorities into clear AI usage models and guidance across HBX.
Co‐define the AI licensing strategy with Technology and Procurement, establishing role‐based access models that balance value and cost.
Monitor license usage, adoption and value realization to optimize or scale AI tools as needed.
Drive AI literacy and capability building across functions through scalable programmes, training and tools.
Build an AI Champion community and ensure adoption delivers measurable behavior change, productivity gains and business impact, tracked through clear KPIs.
Own a central, scalable intake and prioritization process for AI use cases, classifying demand and assessing opportunities based on value, feasibility, scalability, risk and readiness.
Track progress, impact and cost while identifying patterns to inform platform and governance decisions.
Partner with Technology to define AI and data platform requirements aligned with the AI‐enabled workforce strategy, acting as the link between business use cases and platform evolution.
Ensure interoperability across the AI tool landscape and alignment with orchestration platforms.
Work with Legal, Risk, Security, Technology and Data to define and apply risk‐based AI deployment principles.
Support governance and policy adoption to ensure safe, compliant AI use while balancing effective risk management with speed of execution.
Skills Strong understanding of AI platform ecosystems (e.g. copilots, LLMs, agentic platforms) and ability to translate vendor capabilities into business applications Deep understanding of AI fundamentals, LLMs, AI market solutions and automation tools (incl. prompt engineering, workflow automation, AI assistants & applied GenAI) Knowledge of enterprise AI tech stacks, role-based access models and configuration standards, ensuring safe and effective usage across the organization.
Experience in demand management and prioritization of AI use cases; balancing value, feasibility and scalability Strong commercial mindset, with ability to assess and track value, cost (incl. AI/agent usage), and ROI of AI initiatives Strong change management & behavioral transformation skills Strong leadership and communication skills to influence senior stakeholders and mobilise global teams.
Ability to operate effectively in a co-ownership model with Technology, translating business needs into platform and capability re