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L&D Consultant (AI and Data)

Job details
Posting date: 18 March 2026
Salary: £444.44 per day
Hours: Full time
Closing date: 17 April 2026
Location: London, UK
Remote working: Hybrid - work remotely up to 3 days per week
Company: Wax Recruitment Ltd
Job type: Contract
Job reference:

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Summary

Job title: L&D Consultant (AI and Data)
Job Category: Human Resources
Hours per week: 35
Location: Exhange Tower, Harbour Exchange Square, London, London, E14 9GE, Financial Ombudsman Service
Pay: £444.44 per day
1 - 2 days office based and 3 - 4 days homebased.
The purpose of your role
We are at the beginning of our organisational journey in data and AI capability building. The L&D Consultant will work directly with the Director of Organisational Capability to design a clear, ambitious and practical enterprise-wide learning strategy focused on AI and data capability uplift.

This role will create the strategic blueprint for how we:
Raise foundational AI and data literacy across the entire organisation.
Build targeted data and AI learning pathways for specific functional areas.
Develop technical programmes (including apprenticeship levy-funded options) to support specialist upskilling and professional certification.
This work will directly support the creation of a compelling learning strategy that prepares colleagues for the opportunities and challenges of AI, ensures responsible and informed adoption, and aligns with organisational priorities. Operational delivery remains with the internal team; this role is exclusively strategic.

You're accountable for:
Data & AI Learning Strategy
Developing a coherent, organisation-wide learning strategy that builds confidence, capability and responsible use of data and AI.

Designing a multi-tiered capability framework foundation>intermediate>advanced) aligned to our organisational roles and future needs.
Creating learning pathways and recommended interventions for generalist, functional and technical audiences.
Identifying success measures, KPIs and milestones to track capability uplift.
Foundational Data & AI Literacy (Learning for All)

Defining and recommending learning solutions that build a baseline understanding of AI, data concepts, responsible/ethical AI and practical workplace applications.
Building on the earlier work already undertaken in this space, integrating it into a more comprehensive strategic approach.
Targeted Functional Upskilling

Partnering with operational and enabling functions to understand where AI and data can add the most value.
Creating tailored learning pathways for functions such as casework, operations, HR, finance, digital/IT, and customer services.
Recommending appropriate learning approach, (blended learning, simulations, in role learning, vendor-led programmes)
Technical Skills & Certification Programmes
Developing a strategy for deeper technical development
Identifying relevant certification routes
Recommending where apprenticeship levy funding can be used to support structured, accredited learning.
Future Skills & Horizon Scanning

Conducting external research to understand emerging AI and data trends relevant to our work.
Providing insight on future skills we will need over the next 3 to 5 years.
Advising on partnerships with learning providers, universities, vendors and accreditation bodies.
Stakeholder Engagement & Influence

Working closely with senior leaders to ensure alignment with organisational priorities and digital strategy.
Providing high-quality strategic advice, positioning the organisation to navigate digital and data-driven change.
Your experience includes:
Extensive experience in L&D strategy, organisational development, or talent management at a senior/strategic level.
Significant experience in designing and implementing enterprise-level data, digital or AI capability strategies.
Strong understanding of AI fundamentals, data literacy, responsible/ethical AI use, and emerging industry trends.
Demonstrated expertise in building structured learning pathways and capability frameworks.
Experience working with apprenticeship levy-funded programmes and/or accredited technical learning pathways.
Proven ability to work at a strategic level and influence senior stakeholders.
Outstanding communication and storytelling skills, with the ability to simplify complex technical concepts.

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