UK

United Kingdom · Learning and development · Principal/Manager (12-16 years)

Manager, AI Learning Solutions

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports5-10 reports
  • Reports toDirector, AI & Performance Solutions
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Principal AI Learning Lead · Head of AI Learning Strategy · L&D AI Programme Manager

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 8 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 2 of 8 standards
OCNLR Level 5 Diploma in Software Engineering with Artificial Intelligence OCN London · Level 5 · covers 2 of 8 standards
Pearson BTEC Level 5 Higher National Diploma in Cloud Computing Pearson Education Ltd · Level 5 · covers 2 of 8 standards
ATHE Level 5 Extended Diploma in Computing ATHE Ltd · Level 5 · covers 2 of 8 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 8 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Artificial Intelligence NCC Education Level 5 Extended Diploma in Computing with Data Science
Machine Learning Algorithms OCNLR Level 5 Diploma in Software Engineering with Artificial Intelligence
Machine Learning Pearson BTEC Level 5 Higher National Diploma in Cloud Computing
Data Analytics and Machine Learning ATHE Level 5 Extended Diploma in Computing
Data-led Decision Making Level 6 Award in Data-led Decision Making

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Manager, AI Learning Solutions

6 units that map to this job, from the qualifications that cover it.

  1. Data Analytics Pearson Education Ltd · covers 3 of 8 standards Level 5
  2. Artificial Intelligence NCC Education Limited · covers 2 of 8 standards Level 5
  3. Machine Learning Algorithms OCN London · covers 2 of 8 standards Level 5
  4. Machine Learning Pearson Education Ltd · covers 2 of 8 standards Level 5
  5. Data Analytics and Machine Learning ATHE Ltd · covers 2 of 8 standards Level 5
  6. Data-led Decision Making Institute of Sales Professionals · covers 1 of 8 standards Level 6
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Manager, AI Learning Solutions?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skill this role is being asked for

  • AI Ethics & Bias Mitigation Leadership
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Manager, AI Learning Solutions plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

This role manages a team building AI learning programmes, making sure they work and deliver real value. It involves shaping how people learn and grow within an organisation, using AI tools to do it.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Degreed / Cornerstone Xplor / EdCast (LXP) Strategic

Leading platform selection, vendor negotiation, defining enterprise data strategy (xAPI), and owning the integration roadmap for our primary learning experience platforms.

Synthesia / Articulate 360 (AI features) / Vyond (AI features) Strategic

Setting content creation standards, evaluating new AI authoring tools for enterprise adoption, and managing the overall content creation budget for AI-powered content.

Tableau / Power BI Strategic

Defining the key learning metrics for the entire organisation, championing data literacy, and using dashboards for board-level reporting to demonstrate impact.

Jira / Notion Strategic

Managing the entire programme portfolio for AI learning initiatives, allocating resources based on strategic priorities, and ensuring documentation standards are met across the team.

Workday HCM / Anaplan Advanced

Partnering with HRIS and Finance teams to build business cases for learning investments, modelling L&D ROI in Anaplan, and aligning learning budget with corporate financial planning.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Team Hiring & Performance N/A N/A N/A
Programme Strategy & Roadmap N/A N/A N/A
Budget Allocation & Spend (up to £2M) N/A N/A N/A
AI Tool & Platform Selection N/A N/A N/A
Organisational Design (within your team) N/A N/A N/A

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Programme ROI & Cost Efficiency
The financial return on investment for major AI learning programmes, alongside the cost per learner for specific initiatives.
Target · Achieve a minimum of £1.50 return for every £1 spent on major programmes; reduce content creation costs by 20% through AI automation.

Delivered an AI-powered sales onboarding programme that reduced new hire ramp-up time by 15%, leading to an estimated £750K increase in Q3 sales revenue, against a programme cost of £250K (3:1 ROI).

Time-to-Competency Reduction
How quickly employees in critical roles reach full proficiency, directly linked to AI-driven learning pathways.
Target · Reduce average time-to-competency by 10-15% for identified critical roles (e.g., new engineers, sales reps).

After implementing the AI-curated 'Cloud Architect Fast-Track' programme, new hires reached independent project contribution in 4 months instead of 5, saving roughly £50K in productivity per hire.

Internal Mobility & Skills Gap Closure
The percentage of critical roles filled internally and the rate at which employees acquire new, in-demand skills identified by our skills ontology.
Target · Increase internal fill rate for 'hard-to-hire' roles by 20%; close 30% of identified critical skills gaps within 12 months.

Our AI-driven career pathing and upskilling programmes resulted in 25% of new data science roles being filled by existing employees, reducing external recruitment costs by £100,000.

Learner Engagement & Impact Scores
Beyond simple completion rates, this looks at active engagement (e.g., comments, shares, application of learning) and the perceived business impact of learning programmes.
Target · Maintain an average 'application of learning' score of 4.0/5.0 and a 'business impact' score of 3.8/5.0 on key programmes.

The 'AI for Managers' programme achieved an application score of 4.2, with 70% of participants reporting they immediately used AI tools in their daily work, leading to measurable time savings.

Strategic Partnership & Influence
How effectively you build relationships with senior leaders and influence the broader talent strategy, ensuring learning is seen as a strategic lever.
  • You're regularly invited to strategic planning meetings outside of L&D. Senior VPs seek your input on talent development challenges. Your proposals for new AI learning initiatives are met with genuine interest and support, not just polite nods. You're seen as a trusted advisor, not just a service provider.
Team Leadership & Development
Your ability to build, mentor, and inspire a high-performing team of AI learning specialists and architects, fostering a culture of innovation and accountability.
  • Your team members are actively developing new skills and taking on more complex projects. They feel supported, challenged, and see clear career paths. We see low regrettable attrition within your team. Your direct reports consistently hit their performance goals and are recognised for their contributions. You're known for giving clear direction and constructive feedback.
Innovation & Responsible AI Governance
The balance you strike between exploring new AI capabilities and ensuring ethical, secure, and compliant deployment of learning solutions.
  • You've successfully piloted and scaled genuinely novel AI learning approaches. We haven't had any major data privacy or ethical concerns related to our AI learning tools. You're proactively engaging with IT Security and Legal to get ahead of potential issues, and you've established clear guidelines for your team's use of AI. You're seen as the 'go-to' person for 'what's next' in AI for L&D, but also for 'how do we do it safely?'

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Building and Shaping the Future

You'll get a kick out of seeing your team's vision for AI learning come to life, from initial concept to company-wide adoption. You're driven by the idea of genuinely transforming how people learn and develop their careers.

Leading the successful launch of a new AI-driven skills platform that fundamentally changes how employees identify and close their skill gaps, seeing the positive feedback roll in.

Driving Tangible Business Impact

You're not content with 'feel-good' learning. You want to see your programmes directly contribute to increased revenue, reduced costs, or improved operational efficiency. Proving ROI is a huge motivator for you.

Presenting to the executive team on how an AI-powered onboarding programme reduced new hire attrition by 10% and directly contributed to a £1M saving in recruitment and training costs.

Developing and Empowering a High-Performing Team

You love seeing your direct reports grow, take on new challenges, and excel. Mentoring, coaching, and removing roadblocks for your team brings you immense satisfaction.

One of your Lead Architects gets promoted to a Manager role, or a Senior Strategist wins an internal innovation award for an AI learning project you championed.

What frustrates people
  • Dealing with legacy systems that don't integrate easily, making data collection a nightmare.
  • Managing the gap between executive AI enthusiasm and the practical realities of implementation.
  • The sheer volume of content that needs to be audited, tagged, and updated before AI can effectively use it.
  • Constantly having to justify budget and demonstrate clear ROI for innovative, yet unproven, learning solutions.
  • Navigating internal politics and getting buy-in from various departments (IT, Legal, HR leadership).
  • Convincing employees to adopt new learning tools and approaches when they're already time-poor.
What this role does not give you
  • A quiet, predictable environment where you can just focus on one technical area.
  • Immediate, effortless adoption of every new AI tool you introduce.
  • Unlimited budget and resources without needing to justify every penny.
  • A role where you're solely a technical expert; you'll be a leader, strategist, and diplomat too.
  • A place where 'good enough' is acceptable; we're striving for measurable impact and excellence.

8Who you work with

This role directly shapes our organisation's ability to adapt and grow by ensuring our workforce has the skills it needs for the future. You'll be a key player in driving internal mobility, reducing time-to-competency for critical roles, and ultimately, improving overall business performance through smart, scalable learning solutions. Your decisions on AI strategy and programme delivery will have a direct impact on our human capital readiness and competitive advantage.

Inside the business
  • SVP of People & Culture
  • Heads of Business Units (e.g., Sales, Product, Engineering)
  • IT Security & Infrastructure Leadership
  • Legal & Compliance Teams
  • Finance Business Partners
  • Product Management for internal tools
Outside the business
  • AI Learning Platform Vendors
  • Consultancy Partners
  • Industry Bodies & Research Institutions

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • Demonstrable experience (12+ years) in Learning & Development or a related field, with at least 5 years focused on digital learning and emerging technologies.
  • Proven track record of leading and developing high-performing teams, including managing managers or senior individual contributors.
  • Significant experience owning and managing large programme budgets (minimum £500K), with a clear ability to demonstrate ROI.
  • A strong understanding of AI/ML concepts and their practical application in a business context, ideally within L&D.
  • Experience in strategic planning, roadmap development, and presenting to senior executive audiences.
  • A solid grasp of data analytics and how to use insights to drive strategic decisions and prove programme effectiveness.
  • Experience navigating complex organisational structures and influencing stakeholders without direct authority.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced LLM Integration & Orchestration

Simply using off-the-shelf LLMs won't be enough. The real value will come from orchestrating multiple models, fine-tuning them with proprietary data, and integrating them seamlessly into our existing learning ecosystem. You'll need to guide your team on these complex integrations.

Multi-Agent Systems · Low-Code/No-Code AI Platforms · Personalised Learning Orchestration · AI-Powered Simulation & Immersive Learning

  • This week: Have a deep dive with your Lead Architects on the current limitations and future potential of our LLM integrations.
  • This month: Research leading low-code AI platforms for L&D and identify potential vendors for a pilot project.
  • Month 2: Develop a strategic brief on the potential for AI-powered simulations in a key business unit (e.g., sales, operations).
  • Month 3: Present a strategic recommendation for a phased approach to advanced LLM integration and orchestration.

Quick win: Challenge your team to identify one manual, repetitive task that could be fully automated by orchestrating existing AI tools within the next month.

11Staying current once you are in

What people here do to keep up
  • Actively participate in industry forums and conferences focused on AI in L&D, EdTech, and future of work.
  • Maintain a strong network of peers and thought leaders in the AI and learning space, both internally and externally.
  • Dedicate time each week to research emerging AI technologies and their potential application to learning challenges.
  • Seek out mentorship opportunities from senior leaders within our organisation and external experts.
  • Engage in continuous learning through online courses, workshops, and certifications in areas like advanced analytics, machine learning strategy, or organisational psychology.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI Ethics & Bias Mitigation Leadership

As AI becomes more embedded in assessments and career pathing, the ethical implications and potential for bias are becoming critical. You'll be accountable for ensuring our AI is fair, transparent, and compliant, which means moving beyond basic understanding to active leadership in this space.

  • Algorithmic Fairness
  • Explainable AI (XAI)
  • Data Provenance & Bias Detection
  • Human-in-the-Loop Systems

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Adaptive Learning Design
  • Skills Ontology & Taxonomy Design
  • Learning Analytics & xAPI Implementation
  • Performance Consulting
  • AI Ethics & Governance in L&D
  • Agile Instructional Design (SAM)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Lead AI Learning Architect (L4)

    3-5 years as a Lead Architect

    Skills to master

    • Deep expertise in designing end-to-end AI learning solutions, defining skills ontologies, selecting appropriate technologies, and guiding technical implementation. You'd have proven your ability to architect complex systems and mentor junior team members.

    You're ready to move on when

    • Successfully led 2-3 major AI learning solution designs from concept to pilot.
    • Consistently mentored 3+ junior architects/specialists, helping them grow their technical skills.
    • Presented strategic technical recommendations to senior leadership with positive reception.
    • Demonstrated strong problem-solving skills for novel and ambiguous technical challenges.
  2. 2

    Senior L&D Manager / Head of Digital Learning

    4-6 years in a senior L&D management role

    Skills to master

    • Strong experience managing L&D teams, owning programme delivery, and managing budgets. You'd need to have developed a keen interest and foundational knowledge in AI and data analytics, demonstrating how you've used technology to improve learning outcomes.

    You're ready to move on when

    • Successfully managed a team of 5+ L&D professionals, consistently hitting programme targets.
    • Owned and managed an L&D budget of at least £250K, demonstrating fiscal responsibility.
    • Implemented significant digital learning initiatives, showing an understanding of learning technology.
    • Developed a clear vision for how AI could transform learning within your previous organisation.
  3. 3

    Consultant (AI in Learning / EdTech)

    5-8 years as a senior consultant

    Skills to master

    • Broad exposure to various AI learning solutions across different organisations, strong client-facing skills, and the ability to translate strategic vision into practical implementation plans. You'd bring a wealth of external best practices and a fresh perspective.

    You're ready to move on when

    • Successfully delivered 5+ major AI in learning consulting engagements for enterprise clients.
    • Demonstrated expertise in market trends, vendor landscapes, and implementation challenges for AI learning.
    • Proven ability to influence senior client stakeholders and drive strategic change.
    • Experience building and leading project teams in a consulting environment.

15Where this role leads

The long view: This work can lead into senior learning and talent leadership, such as Chief Learning and AI Officer or VP of Talent and Learning.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Manager, AI Learning Solutions is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Data Analytics, worked against Manager, AI Learning Solutions.

Data Analytics Level 5

Applied to your work in Manager, AI Learning Solutions

The objective of this unit is to enable learners to understand and apply data analytics techniques for decision-making. Learners will be able to apply descriptive, predictive, and prescriptive analytic methods, utilising statistical methods, to convert raw data into actionable insights and determine the best course of action.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

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Manager, AI Learning Solutions
  • Adaptive Learning Design
  • Skills Ontology & Taxonomy Design
  • Learning Analytics & xAPI Implementation
  • Performance Consulting
  • AI Ethics & Governance in L&D
  • Agile Instructional Design (SAM)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Manager, AI Learning Solutions is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Director, AI & Performance Solutions (L6)

    3-5 years in the Manager role

    This is a significant step up, moving from managing a functional team to shaping a business unit's capability and influencing enterprise-level strategy.

    • Defining multi-year strategic roadmaps for AI and performance across entire business units.
    • Leading large-scale organisational design initiatives related to talent and learning.
    • Driving innovation and competitive advantage through human capital strategy.
    • Representing the organisation externally as a thought leader in AI and future of work.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be honest, managing a team and driving strategic initiatives means a lot of planning, reporting, and stakeholder wrangling. Imagine if you could get back a significant chunk of that time every week. With AI, you can. We're not talking about replacing your job; we're talking about giving you superpowers.

As a Manager, AI Learning Solutions, your role is inherently strategic and people-focused. However, there's still a mountain of administrative, research, and communication tasks that eat into your day. Our AI Productivity Hub is designed to offload these burdens, letting you focus on what truly matters: leading your team, shaping strategy, and delivering impact.

Content Ontology Automation

Imagine having an LLM analyse thousands of legacy documents – Word, PPT, PDFs – and automatically generate metadata tags, skill classifications, and concise summaries. This massively accelerates your team's migration to a new skills-based LXP, saving weeks of manual effort and freeing up your architects for more strategic work. You'll oversee the process, but the heavy lifting is done by AI.

Sentiment Analysis Accelerator

Instead of spending weeks manually sifting through thousands of open-ended comments from engagement surveys and course reviews, feed them into an AI model. You'll instantly identify key themes, pain points, and knowledge gaps across the organisation. This gives you rapid, actionable insights to refine your learning strategy and justify programme changes to leadership, cutting down analysis time significantly.

Strategic Research Assistant

Need to get up to speed on the latest academic papers, vendor whitepapers, or competitor case studies for a new AI learning initiative? Use an AI research agent. It can synthesise vast amounts of information on topics like 'AI for leadership development' into a concise executive brief, saving you 5-7 hours a week that you'd normally spend trawling through articles. You'll get the insights, faster.

Personalised Comms Campaigner

Launching a new learning programme requires getting the word out effectively. Use AI to draft hyper-personalised launch communications, tailoring the messaging, benefits, and call-to-action for different employee segments – whether they're engineers, marketers, or sales reps. This ensures higher engagement and adoption, and saves your team 3-4 hours per launch campaign.

Common questions

Common questions

How do you become a Manager, AI Learning Solutions?

Common routes in include Lead AI Learning Architect (3-5 years as a Lead Architect), Senior L&D Manager / Head of Digital Learning (4-6 years in a senior L&D management role) and Consultant (AI in Learning / EdTech) (5-8 years as a senior consultant). Times vary with prior experience.

Where can a Manager, AI Learning Solutions progress to?

This role can lead on to Director, AI & Performance Solutions (3-5 years in the Manager role), depending on the skills you build.

What new skills matter most for a Manager, AI Learning Solutions?

Increasingly, AI Ethics & Bias Mitigation Leadership. These are the skills our record of this role lists as growing.

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17Where to go from here

Other roles at Level 5

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in learning and development

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills involved, including AI strategy, data-driven decision-making and organisational change, transfer to other technology companies and professional services firms. They can also lead into product management roles for EdTech or HRTech companies.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my Manager, AI Learning Solutions plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.