Training Requirements Analyst — Data and AI Capability for NATO with security clearance

WLG; Oeiras; On-site; EUR 42,000 - 65,000; Full time

Job summary

WLG is seeking a professional to design and map training strategies across data and AI skills within a multinational defence context. You will map skill requirements to current offerings and identify gaps.

You will extend analyses to SFIA mapping, review digital training plans, manage end-to-end training requirements cycles, and present findings to executive audiences; travel and collaboration with international teams may be involved.

Qualifications

• Master's or bachelor's degree in relevant fields with experience.
• Structured approach to training design, systems-based.
• Strong analytical skills using organisational data.
• Experience using SFIA to map workforce competencies.
• Understanding of military education/training structures.
• Familiarity with digital transformation and AI concepts.
• Confident English writing for executive audiences.
• Experience with LMS and office automation tools.

Responsibilities

• Mapping identified skill requirements against education and training offerings.
• Extending analysis so AI posts map to SFIA framework.
• Reviewing the digital training plan for accuracy and currency.
• Running end-to-end training requirements analysis for data/AI area.
• Writing the training requirements analysis report for review.
• Representing the discipline at industry engagement and planning events.
• Producing monthly situation reporting and quarterly programme work reporting.

Skills

Structured training design

Analytical habits

SFIA mapping

Military education knowledge

Digital transformation familiarity

Executive English writing

Office tools & LMS

Autonomy to work independently

Education

Master's in education and training, learning sciences, data science or information systems (or bachelor's with substantial experience)

Tools

Learning Management Systems

Job description

A multinational defence organisation is working out how to grow data and artificial intelligence skills right across its workforce. This post belongs to the person who turns that ambition into a concrete training plan, backed by analysis rather than by assumption.

What You Would Be Doing

• Mapping the identified skill requirements in the discipline against the education and training already on offer, and naming plainly where it falls short.
• Extending an earlier analysis so that data and artificial intelligence posts are mapped to the Skills Framework for the Information Age.
• Reviewing the newly introduced digital training plan for accuracy and currency, taking in lessons learned and where the discipline is visibly heading.
• Running the training requirements analysis cycle end to end for the data and artificial intelligence functional area — the preparatory meeting, the collection of requirements and opportunities, and the working groups that settle them.
• Writing the training requirements analysis report the project will be judged on.
• Representing the discipline at the annual industry engagement and planning events.
• Producing the monthly situation reporting and the quarterly programme of work reporting.

What you would bring

• A master's degree in education and training, learning sciences, data science or information systems with post-degree experience behind it, or a bachelor's in the same fields with more.
• A solid track record with a structured approach to training design — a systems approach to training, or a comparable methodology used seriously.
• Strong analytical habits: reading large volumes of organisational data on roles, competencies and trends, and drawing something usable out of it.
• Proven use of the Skills Framework for the Information Age to assess, map or develop workforce competencies.
• An understanding of how a large military organisation is structured, how its education and training facilities work, and how capability development actually runs.
• Familiarity with digital transformation and with data and artificial intelligence concepts, and the ability to translate a technology trend into what it means for people and posts.
• Confident English in writing and in the room: reading strategic documentation and producing material an executive audience will read.
• Comfort with office automation tools, collaboration portals and workflow features, and hands-on time with learning management systems.
• Demonstrable competence in identifying training requirements and writing performance objectives, and the autonomy to carry the work without being steered.
• Nice to have: quality assurance inside an education and training environment, practical knowledge of military communication and information systems, and time spent in an international setting with both military and civilian colleagues.

Extensions are offered where the work goes well. Applications are reviewed as they arrive.