Data & AI Literacy Programme Lead (For independent contractors)

Responsible for designing role-specific training pathways, managing external vendors, and tracking engagement metrics to ensure all staff, from leadership to engineering to operations, can effectively work with Data & AI. The role requires a strong operational mindset and previous experience delivering large-scale data enablement programs in a digital environment.

Overview

We are looking for a hands-on contractor to build and run our Data and AI Literacy Programme across a fast-paced, tech-driven travel organisation. This role focuses on execution, turning strategy into practical learning experiences tailored to employees of different roles, seniority levels, and technical expertise.

Key Responsibilities

• Translate business needs into actionable Data & AI learning plans for different personas (e.g., product, engineering, commercial, operations, leadership)

  
  

• Design and implement role-based, level-appropriate training pathways (from Not aware to foundational to advanced)

  
  

• Coordinate rollout of training programmes, including scheduling, communications, and stakeholder alignment

  
  

• Identify, evaluate, and manage external vendors and learning platforms

  
  

• Align with internal learning teams and leverage the internally available learning platform

  
  

• Track participation, engagement, and impact; continuously optimise the programme based on data

  
  

• Act as the central point of contact for all Data & AI literacy initiatives across the organisation

Requirements

• Demonstrated experience delivering Data and/or AI literacy or enablement programmes in large, fast-paced tech organisations (travel or digital platforms a plus)

  
  

• Strong operational mindset with the ability to manage end-to-end programme delivery

  
  

• Understanding of data, analytics, and AI concepts in a business context

  
  

• Experience working with diverse stakeholders (technical and non-technical)

  
  

• Ability to prioritise, execute quickly, and adapt in a dynamic environment

  
  

• Experience with defining and monitoring key performace and risk indicators to adapt accordingly