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Subject Matter Expert - TQ Digital Technology and Artificial Intelligence; AI Apprenti

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Pearson
Apprenticeship/Internship position
Listed on 2026-07-17
Job specializations:
  • Education / Teaching
    Adult & Continuing Education, Training Instructor / Specialist, Online Teaching
Salary/Wage Range or Industry Benchmark: 50000 - 70000 GBP Yearly GBP 50000.00 70000.00 YEAR
Job Description & How to Apply Below
Position: Subject Matter Expert - Pearson TQ Digital Technology and Artificial Intelligence (AI) Apprenti[...]
Location: Greater London

Subject Matter Expert - Pearson TQ Digital Technology and Artificial Intelligence Apprenticeships (Curriculum Validation and KSB Assurance)

At Pearson we’re committed to a world that’s always learning. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re‑examining the way people learn best. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to be better. By pushing the boundaries of technology, and each other to surpass these boundaries, we create seeds of learning that become the catalyst for the world’s innovations, personal and global.

We are the UK's largest awarding body and offer qualifications that are globally recognised and benchmarked, with educational excellence rooted in a range of General and Vocational courses.

Pearson TQ designs, develops and delivers bespoke training solutions, including the assessment and provision of accredited qualifications, for public and private sector clients in the UK.

Role Summary

We are seeking Subject Matter Experts to support the development of apprenticeship programmes in digital, data, AI, and cyber security. This role focuses on translating apprenticeship standards into high‑quality, scalable programme content that reflects real‑world practice and enables learners to develop occupational competence.

Responsibilities/Typical Tasks
  • Interpret apprenticeship standards (knowledge, skills and behaviours) and map them into structured programme components (modules, topics, activities) to confirm KSB coverage is complete, appropriately pitched, and sequenced for progressive development.
  • Produce and maintain a clear KSB mapping matrix showing where each KSB is taught, practised and assessed.
  • Identify gaps, duplication, or misalignment (including content that is too light, too deep, or in the wrong place in the learner journey).
  • Advise on the most efficient way to close gaps (for example adapt existing content versus create new).
  • Contribute to content outlines, learning materials and applied activities.
  • Ensure content is technically accurate, appropriately challenging, and grounded in real‑world application.
  • Design tasks that require problem‑solving, decision‑making, and practical application, not just knowledge recall.
  • Validate that programme content reflects how roles are performed in industry.
  • Embed realistic scenarios, workflows and constraints to mirror workplace practice.
  • Work alongside product, curriculum and content specialists to develop a coherent, scalable programme structure.
  • Contribute subject expertise across the development lifecycle.
  • Ensure consistency in level, challenge and learner progression across modules.
  • Provide constructive feedback on modules, topics and learning activities.
  • Identify gaps, duplication or misalignment and propose solutions.
  • Participate in quality assurance and review activities to ensure consistency and quality.
  • Advise on approaches that support active and applied learning, including practical tasks and projects.
  • Ensure content enables learners to retain, apply and transfer knowledge into workplace contexts.
  • Advise on emerging technologies, tools and industry practice.
  • Ensure programmes remain current in fast‑evolving areas such as AI, automation, cyber security and data.
Deliverables
  • KSB mapping matrix (by programme, module, lesson and assessment).
  • Gap and improvement log (what is missing or weak, why it matters, recommended fix, priority).
  • Written review feedback for each curriculum pack reviewed.
  • Targeted content additions or amendments (where agreed).
    • Final assurance statement confirming readiness for delivery, or conditional assurance with actions.
Specialisms (one or more required)
  • Artificial Intelligence / Automation
  • Data / Analytics
  • Cyber Security
  • Digital / IT Systems
Experience and Qualifications

Required Qualifications

Qualifications required to apply for your chosen role at Pearson will depend on the qualification you are delivering. Please contact Pearson ahead of your application if the requirements are not clear.

Essential
  • Significant industry experience in a relevant digital or technical field.
  • Strong…
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