United Kingdom · Learning and development · Director/VP (16-20 years)

Director, AI & Performance 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 bandDirector/VP (16-20 years)
Direct reports5-10 reports
Reports toChief Learning Officer (CLO) or Chief People Officer (CPO)
UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP, Learning Technology & Innovation · Head of AI Learning Strategy · Global Director, Learning Transformation

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

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 3 of 7 standards

NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 3 of 7 standards

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 2 of 7 standards

Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 7 standards

NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science) NOCN · Level 5 · covers 1 of 7 standards

NCFE CACHE Level 5 Diploma in Advanced Playwork (Wales) NCFE · Level 5 · covers 1 of 7 standards

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

The units you would start with

Data Science Foundations OTHM Level 7 Diploma in Data Science

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science

Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England

Data-led Decision Making Level 6 Award in Data-led Decision Making

Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

Provide learning opportunities for colleagues NCFE CACHE Level 5 Diploma in Advanced Playwork (Wales)

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

Foresight Fluency seeing round the corner

Systems Fluency seeing the whole picture

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Your Plan Illustration

Built for Director, AI & Performance Solutions

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

Data Science Foundations OTHM Qualifications · covers 3 of 7 standards Level 7
Introduction to Data Science and Big Data NCC Education Limited · covers 3 of 7 standards Level 5
Data Analytics Pearson Education Ltd · covers 2 of 7 standards Level 5
Data-led Decision Making Institute of Sales Professionals · covers 1 of 7 standards Level 6
Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 7 standards Level 5
Provide learning opportunities for colleagues NCFE · covers 1 of 7 standards Level 5

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 Director, AI & Performance Solutions?

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

The new skills this role is being asked for

AI Governance & Responsible Deployment at Scale
Predictive Talent Analytics & Workforce Planning with AI

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
AI Governance Fluencyusing AI responsibly
Foresight Fluencyseeing round the corner
Systems Fluencyseeing the whole picture

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 Director, AI & Performance 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 job involves leading how an organisation uses AI to shape learning and performance. It means turning learning programmes into a tool that moves the business forward.

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. You'll be making decisions about the future of our learning ecosystem.

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 budget and strategy. You'll ensure we're using these tools effectively at scale.

Tableau / Power BI Strategic

Defining the key learning metrics for the entire organisation, championing data literacy across L&D, and using these dashboards for board-level reporting and strategic decision-making. You're the one telling the story with the data.

Jira / Notion (for large-scale programme management) Strategic

Managing the entire programme portfolio for AI learning, allocating resources based on strategic priorities, and ensuring documentation standards are met across all initiatives. You'll use these to keep the big picture organised.

Workday HCM / Anaplan Advanced

Partnering with HRIS and Finance teams to build robust business cases for AI learning investments, modelling L&D ROI in Anaplan, and aligning learning budget with corporate financial planning. You'll need to speak their language.

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 choice	Coming in	Where you are now	The step above
Strategic Direction for AI Learning	No input; follows established guidelines.	Proposes minor adjustments within existing programmes.	Designs and recommends strategic direction for specific workstreams.
Budget Allocation (e.g., for new tech/programmes)	None; operates within allocated project budget.	Requests budget for minor project needs (e.g., £1K-£5K) from manager.	Approves project-level spend up to £50K; recommends larger investments to Director.
Hiring & Team Structure	No hiring authority; participates in interviews.	Provides input on junior hires.	Interviews and provides strong recommendations for junior and mid-level roles.
Vendor Selection & Negotiation	None; uses approved tools.	Researches potential tools; provides recommendations for minor purchases.	Evaluates vendors for specific project needs; recommends preferred options to Director.

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.

Business Unit Performance Uplift

The measurable improvement in key business metrics directly attributable to AI-powered learning programmes.

Target · Achieve a minimum 10% improvement in targeted business unit KPIs (e.g., sales conversion, customer retention, project delivery time).

After launching the AI-driven sales enablement programme, the Sales team's average deal size increased by 12% in Q3, directly correlating with programme completion rates.

Time-to-Competency Reduction

The average time it takes for new hires or employees transitioning roles to reach full proficiency, as measured by objective assessments and manager feedback.

Target · Reduce average time-to-competency for critical roles by 15-20% year-on-year.

New engineers using our AI-guided onboarding pathway are hitting their 'first commit' target 3 weeks faster than those on the old programme, cutting time-to-competency by 18%.

AI Learning Solutions ROI

The return on investment for major AI learning technology and programme investments, calculated against cost savings or revenue generation.

Target · Demonstrate a positive ROI (e.g., 2:1 or higher) for all programmes with an investment over £250K within 18 months.

The AI content creation platform, costing £300K, saved £750K in external vendor fees and reduced content development time by 40%, yielding a 2.5:1 ROI in its first year.

Skills Gap Closure Rate

The rate at which critical skills gaps identified through our skills ontology are closed by employees completing targeted AI-recommended learning paths.

Target · Increase the closure rate for top 5 critical skills gaps by 25% within 12 months.

Our AI-driven upskilling programme for cloud architecture reduced the identified skills gap by 28% among the target engineering cohort in Q2.

Strategic Alignment & Executive Buy-in

The degree to which AI learning initiatives are integrated into wider business strategies and have visible support from the C-Suite and business unit VPs.

Regular invitations to strategic planning meetings
proactive requests for AI learning solutions from business leaders
budget approvals for new initiatives without significant pushback
positive mentions of L&D's strategic contribution in executive communications.

Organisational Agility & Adaptability

The perceived speed and effectiveness with which the organisation can acquire new critical skills in response to market changes or new business demands.

Feedback from business leaders on L&D's responsiveness
successful, rapid deployment of new learning pathways for emerging technologies
internal mobility rates into new roles
external recognition for talent development.

Ethical AI Governance & Trust

The successful establishment and adherence to ethical guidelines for AI in learning, fostering trust among employees and ensuring compliance.

No reported incidents of algorithmic bias or data privacy breaches
positive employee feedback on transparency of AI recommendations
successful internal audits of AI usage
clear, well-communicated policies around AI in learning.

Innovation & Future Readiness

The ability to identify, pilot, and scale truly impactful AI learning innovations that position the company for future talent needs.

Successful completion of 2-3 high-potential AI learning pilots annually
positive feedback from industry peers on our approach
a clear roadmap for future AI learning capabilities
attracting top talent in AI learning.

7Would you like it

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

What people enjoy

Transforming Organisational Capability

You'll be driven by the idea that your work directly makes our entire workforce more skilled, adaptable, and ready for the future. Seeing a business unit hit new performance targets because of your programmes will be a huge win.

You're excited about the idea of seeing our sales team close bigger deals because of the AI-powered coaching you implemented, or our engineers shipping code faster due to personalised learning paths.

Solving Complex, Uncharted Problems

The idea of tackling problems that don't have a clear 'right' answer, especially at the intersection of AI and human development, genuinely excites you. You thrive on figuring out how to make new tech work in a real-world, messy corporate environment.

You're energised by the challenge of building a skills ontology from scratch and then figuring out how to use AI to match people to projects, even when the data is incomplete.

Leading a High-Impact, Innovative Team

You enjoy building and guiding a team of smart, driven individuals who are pushing the boundaries of what's possible in learning. You get satisfaction from seeing your team members grow and deliver groundbreaking work under your leadership.

You love coaching your managers and architects, helping them navigate complex technical challenges and present their work to senior leaders with confidence.

What frustrates people

The 'data plumbing nightmare': spending weeks trying to integrate disparate systems only to find the data is incomplete or poorly structured.
The 'hype-reality gap': constantly managing unrealistic executive expectations about what AI can deliver without a solid data and change management foundation.
The 'ROI inquisition': defending your budget and attribution models to a skeptical Finance team every single quarter.
Navigating internal 'gatekeepers': dealing with IT Security's risk aversion, Legal's data privacy concerns, and existing L&D teams who might see AI as a threat.
Content cleanup: realising that the most advanced AI can't fix 20 years of poorly written, untagged, and outdated training content—and that you own the cleanup.

What this role does not give you

A purely academic or research-focused AI role; this is about practical, business-driving application.
A 'set it and forget it' environment; the technology and business needs are constantly evolving.
A role where you're solely focused on individual contribution; leadership and influence are key.
An environment free from organisational politics or budget constraints.

8Who you work with

This role directly impacts our ability to scale talent, accelerate skill acquisition, and improve overall organisational performance. Your decisions will influence multi-million-pound investments and shape the learning experience for thousands of employees across the globe. Get it right, and we're a more agile, competitive business. Get it wrong, and we risk falling behind on critical skills and wasting significant budget.

Inside the business

C-Suite (CEO, CFO, COO)
Business Unit VPs (e.g., VP Sales, VP Engineering)
Head of IT Security & Infrastructure
Legal & Compliance leadership
HR Business Partners

Outside the business

Strategic AI/L&D Technology Vendors
Industry Analysts & Consultants
Key Talent Acquisition Partners

9What you need before you start

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

Demonstrable experience leading a significant L&D or HR Technology function within a large, complex organisation (10,000+ employees), or equivalent experience.
Proven track record of defining and executing multi-year strategic roadmaps for technology-driven talent initiatives, delivering measurable business outcomes.
Extensive experience managing large budgets (over £1M) and P&L accountability for a functional area.
Significant experience presenting to and influencing C-Suite executives and Board members on strategic initiatives.
Deep understanding of the AI landscape, including LLMs, generative AI, and their practical applications in learning and performance, not just theoretical knowledge.
Experience building and leading high-performing teams, including managers and senior individual contributors, through periods of significant change.

10What to practise next

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

Advanced LLM Architectures & Customisation

Beyond using off-the-shelf LLMs, you'll need to understand the strategic implications of fine-tuning models, building Retrieval-Augmented Generation (RAG) systems with proprietary data, and integrating various LLM APIs into our enterprise architecture. This is critical within 6-12 months as we move to more bespoke AI learning solutions.

Enterprise RAG Implementation · Model Fine-tuning vs. Prompt Engineering · Multi-Modal AI in Learning · AI Agent Orchestration

This month: Read up on the latest advancements in enterprise LLM deployment, focusing on security and scalability.
Next 3 months: Work with your Lead Architects to map out potential use cases for custom LLM solutions within our learning ecosystem.
Next 6 months: Oversee a proof-of-concept for a RAG-based internal knowledge chatbot for a specific business unit.
Next 12 months: Develop a strategy for how we'll leverage multi-modal AI to create more immersive and effective learning content.

Quick win: Challenge your team to identify one existing manual process that could be significantly improved or automated using a custom LLM and internal data, even if it's just a small pilot.

Secure & Scalable Cloud AI Infrastructure

As we scale our AI learning solutions, you'll need a strategic understanding of the underlying cloud infrastructure (AWS, Azure, GCP) to ensure our systems are secure, cost-effective, and can handle massive user loads. This is an ongoing, critical requirement.

Cloud Security Best Practices for AI · Cost Optimisation of Cloud AI Services · Scalability & Resilience for Learning Platforms · Data Mesh/Fabric Architectures for Learning Data

This quarter: Schedule regular briefings with our Head of Cloud Infrastructure and IT Security to understand their roadmap and concerns.
Next 3 months: Review our current cloud spend for AI services and identify areas for optimisation.
Next 6 months: Work with IT to develop a disaster recovery and business continuity plan specifically for our core AI learning platforms.
Next 12 months: Explore the feasibility of implementing a data mesh or fabric approach for our learning data to improve accessibility and governance.

Quick win: Ask your IT partners for a high-level overview of our current cloud architecture for learning systems. Identify one immediate security or cost-saving recommendation you can make.

11Staying current once you are in

What people here do to keep up

Regularly attending and speaking at industry conferences on AI in HR/L&D (e.g., Learning Technologies, HR Tech World).
Maintaining an active network with other senior leaders in AI and L&D to share best practices and learn from peers.
Engaging with academic research on learning sciences, cognitive psychology, and the future of work.
Participating in executive education programmes focused on strategic leadership, digital transformation, or advanced AI applications.
Mentoring emerging talent within the organisation, fostering a culture of continuous learning and growth.

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 Governance & Responsible Deployment at Scale

With increasing regulatory scrutiny (like the EU AI Act) and growing public awareness of AI's ethical implications, simply 'using' AI isn't enough. You'll be accountable for ensuring our AI learning solutions are not only effective but also fair, transparent, and compliant. This is critical within 12 months, as regulations tighten.

Algorithmic Bias Detection & Mitigation
Explainable AI (XAI) in Learning
Data Privacy & Security for AI
Human-in-the-Loop AI Systems

Predictive Talent Analytics & Workforce Planning with AI

Moving beyond reactive training, this role will increasingly use AI to predict future skill demands, identify potential talent gaps, and proactively design learning interventions. This is critical within 18 months as workforce planning becomes more dynamic and data-driven.

Skills Forecasting Models
Talent Mobility & Succession Planning AI
Learning Intervention Optimisation
Economic Impact Modelling of Learning

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 Strategy
Performance Consulting (Strategic Level)
AI Ethics & Governance in L&D
Agile Instructional Design (SAM) & Product Management

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
Head of Learning Technology / Senior Manager, AI Solutions
5-8 years in a senior management role before becoming Director
Skills to master
- Mastering large-scale programme management, building and leading a team of specialists, managing significant budgets (multi-million £), and demonstrating clear ROI for technology investments. You'd already be influencing VPs.
You're ready to move on when
- Successfully launched and scaled 2-3 major learning technology programmes across a large organisation.
- Consistently met or exceeded business impact targets for your programmes.
- Proven ability to attract, develop, and retain top talent in learning technology.
- Strong relationships with IT, Finance, and key business unit leaders, demonstrating cross-functional influence.
2
VP, People Analytics / Head of Workforce Transformation
6-10 years in a senior analytics or transformation role
Skills to master
- Deep expertise in people analytics, predictive modelling, strategic workforce planning, and driving organisational change through data. You'd be comfortable with board-level data presentations and strategic recommendations.
You're ready to move on when
- Developed and implemented advanced people analytics frameworks that directly informed talent strategy.
- Led significant workforce transformation initiatives, demonstrating measurable improvements in talent readiness.
- Proven ability to translate complex data insights into clear, actionable strategic recommendations for executive leadership.
- Strong understanding of the interplay between human capital strategy and overall business performance.
3
Consulting Leader (AI/Learning Transformation)
8-12 years in a senior consulting role for a major firm
Skills to master
- Expertise in advising C-Suite clients on AI strategy, learning transformation, and organisational change. You'd have a broad view of industry best practices and a proven ability to drive large-scale client engagements.
You're ready to move on when
- Successfully led multiple large-scale AI or learning transformation projects for enterprise clients.
- Demonstrated ability to build strong client relationships and influence senior executives.
- Deep understanding of various industry sectors and their unique learning/talent challenges.
- Strong commercial acumen and experience managing large project budgets and client expectations.

15Where this role leads

The long view: This role can lead to senior positions such as Chief Learning & AI Officer or Chief People Officer, shaping strategy at the highest level.

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 Director, AI & Performance Solutions is actually changing.

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 Science Foundations, worked against Director, AI & Performance Solutions.

Data Science Foundations Level 7

Applied to your work in Director, AI & Performance Solutions

1. To enable the learner to define the scope and landscape of Data Science and differentiate the roles of Data Scientists from other IT professionals. 2. To enable the learner to evaluate key topics within Data Science, including data administration, governance, and big data sources. 3. To enable the learner to describe the architecture and core elements of Apache Hadoop. 4. To enable the learner to analyse the advantages and disadvantages of utilising Artificial Intelligence techniques in a business context. 5. To enable the learner to critically analyse the impact of Big Data on digital transformation within organisations and its effects on users. 6. To enable the learner to review strategies for ensuring data compliance and explain the responsibilities and challenges faced by data specialists.

How the thinking builds

1 Remember
2 Understand
3 Apply
4 Analyse
5 Evaluate
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.

Start my Director, AI & Performance Solutions plan, free

See Your Progress Grow Illustration

Director, AI & Performance Solutions

Adaptive Learning Design
Skills Ontology & Taxonomy Design
Learning Analytics & xAPI Implementation Strategy
Performance Consulting (Strategic Level)
AI Ethics & Governance in L&D
Agile Instructional Design (SAM) & Product Management

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

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

Chief Learning Officer (CLO) / Chief People Officer (CPO)
3-5 years as Director, AI & Performance Solutions

From L6 to L7 (C-Suite)
- M&A Due Diligence & Integration (People Aspect) Leading the human capital aspects of mergers and acquisitions, from due diligence to post-merger integration.
- Global HR Operations & Compliance Overseeing all global HR operations, ensuring compliance with diverse international labour laws and regulations.
- Executive Compensation & Benefits Designing and managing executive compensation programmes and overall employee benefits strategy.
- Crisis Management (People Aspect) Leading the HR response during organisational crises, ensuring employee well-being and business continuity.
VP, Product Management (HR/Learning Tech)
3-6 years as Director, AI & Performance Solutions

From L6 to L6/L7 (Lateral or upward move)
- Software Development Lifecycle (SDLC) Management Overseeing the entire product development process from conception to launch and iteration.
- Pricing & Monetisation Strategy For internal tools, understanding chargeback models; for external, defining pricing and revenue models.
- Technical Architecture Oversight Providing strategic guidance on the technical architecture of complex software products.
- Partnership & Ecosystem Development Building strategic partnerships with other technology providers to enhance product offerings.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, as a Director, your time is precious. You're probably drowning in reports, stakeholder meetings, and endless emails. What if you could reclaim a significant chunk of that time to focus on truly strategic work, like defining our next big AI learning initiative or coaching your team?

AI isn't just for junior roles; it's a game-changer for senior leaders too. We're building an internal AI Productivity Hub, specifically designed to help you automate the tedious, time-consuming tasks that often bog down leadership. Imagine cutting down on research, report drafting, and even some of the heavy lifting in content strategy. Here's how it could look for you:

Content Ontology Automation

Use our internal LLM tools to automatically analyse thousands of legacy learning documents, generating metadata tags, skill classifications, and concise summaries. This massively accelerates our migration to a new skills-based LXP, saving your team weeks of manual effort and freeing them up for higher-value work. You'll oversee the strategy, while AI handles the grunt work.

Strategic Insight Accelerator

Feed thousands of open-ended comments from engagement surveys, course reviews, and performance feedback into our AI model. It'll instantly identify key themes, pain points, and critical knowledge gaps, replacing weeks of manual analysis. This means you get actionable insights for your board presentations much faster, allowing you to react quicker to organisational needs.

Executive Research Assistant

Need to understand the latest trends in AI for leadership development or the competitive landscape of learning platforms? Use our AI research agent to synthesise academic papers, vendor whitepapers, and competitor case studies into concise executive briefs. You'll get comprehensive, digestible summaries in hours, not days, letting you make informed strategic decisions faster.

Personalised Comms Campaigner

Draft hyper-personalised launch communications for new, enterprise-wide learning programmes. Our AI helps you tailor messaging, benefits, and calls-to-action for different employee segments (e.g., engineers vs. sales leaders). This ensures higher engagement and adoption across the board, without you needing to micromanage every comms plan.

Common questions

How do you become a Director, AI & Performance Solutions?

Common routes in include Head of Learning Technology / Senior Manager, AI Solutions (5-8 years in a senior management role before becoming Director), VP, People Analytics / Head of Workforce Transformation (6-10 years in a senior analytics or transformation role) and Consulting Leader (AI/Learning Transformation) (8-12 years in a senior consulting role for a major firm). Times vary with prior experience.

Where can a Director, AI & Performance Solutions progress to?

This role can lead on to Chief Learning Officer (CLO) / Chief People Officer (CPO) (3-5 years as Director, AI & Performance Solutions) and VP, Product Management (HR/Learning Tech) (3-6 years as Director, AI & Performance Solutions), depending on the skills you build.

What new skills matter most for a Director, AI & Performance Solutions?

Increasingly, AI Governance & Responsible Deployment at Scale and Predictive Talent Analytics & Workforce Planning with AI. These are the skills our record of this role lists as growing.

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 Director, AI & Performance 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.

Director, AI & Performance Solutions

Where should we send it?

Two short quizzes about you

Will AI change your work as a Director, AI & Performance Solutions?

What's rising in its place

AI Governance & Responsible Deployment at Scale

Predictive Talent Analytics & Workforce Planning with AI

Skills this role draws on

Technical

How you actually get there, here

Head of Learning Technology / Senior Manager, AI Solutions

VP, People Analytics / Head of Workforce Transformation

Consulting Leader (AI/Learning Transformation)

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

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

Chief Learning Officer (CLO) / Chief People Officer (CPO)

VP, Product Management (HR/Learning Tech)

Where AI is starting to help

Content Ontology Automation

Strategic Insight Accelerator

Executive Research Assistant

Personalised Comms Campaigner

Common questions

Want a read on where you stand?