UK

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

Director, Learning Effectiveness & Insights

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.

Start my plan, free

Free to start: a plan built for this role, and a Future Fluency module to try first. No card.

Keep this job description

Where should we send it?

One email: what AI is changing in this job, the new skills it asks for, where it leads, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

Upskilling a team in this role? Talk to us

  • Experience bandDirector/VP (16-20 years)
  • Direct reports3-8 reports
  • Reports toVP, Talent & Organisational Effectiveness
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as VP, Learning Analytics · Head of Learning Impact · Director, Talent Measurement

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 4 of 10 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 4 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 10 standards
Pearson BTEC Level 5 Higher National Diploma in Business Pearson Education Ltd · Level 5 · covers 1 of 10 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 10 standards

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

The units you would start with

Data Analysis and Visualisation 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
Business Data Analytics and Insights Pearson BTEC Level 5 Higher National Diploma in Business
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
Change Fluency taking people through change
Start my plan, free
Your Plan Illustration

Built for Director, Learning Effectiveness & Insights

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 4 of 10 standards Level 7
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 4 of 10 standards Level 5
  3. Data Analytics Pearson Education Ltd · covers 3 of 10 standards Level 5
  4. Business Data Analytics and Insights Pearson Education Ltd · covers 1 of 10 standards Level 5
  5. Data-led Decision Making Institute of Sales Professionals · covers 1 of 10 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 Director, Learning Effectiveness & Insights?

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

  • Ethical AI & Algorithmic Bias Mitigation in Talent
  • Organisational Network Analysis (ONA) for Learning Transfer
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 Director, Learning Effectiveness & Insights 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.

Start my plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

This job means measuring whether training actually improves how a business performs. It involves presenting insights that shape strategy and influence budget decisions across a business unit, showing where learning spend builds real capability rather than nice-to-haves.

4What you'd actually use

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

LMS/LXP Data Architecture (Workday Learning, Cornerstone, Degreed) Strategic

Leading vendor selection and review based on data and analytics capabilities. Architecting the data flow strategy across the entire learning ecosystem, ensuring seamless integration with other business systems.

Advanced Survey & Feedback Platforms (Qualtrics, Questionmark) Strategic

Owning the enterprise feedback strategy. Governing the use of survey tools to prevent survey fatigue and ensure data quality across the organisation. Directing the use of advanced features like conjoint analysis.

Advanced Data Analysis (Python, R, SQL) Strategic

Setting the standard for analytical rigor. Directing the team on which statistical models to use for enterprise-level problems. Championing investment in advanced analytics capabilities and infrastructure.

Executive Data Visualization (Tableau, Power BI) Strategic

Defining the executive-level reporting strategy. Working with IT to manage Tableau Server or Power BI Premium workspaces. Ensuring dashboards drive business decisions for C-suite and VPs.

Enterprise Data Integration (Workday HCM, SAP SuccessFactors, Anaplan, Snowflake) Strategic

Partnering with HRIS and Finance leaders to integrate learning data with enterprise platforms like Anaplan or Snowflake to build holistic business impact models and predictive analytics.

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
Strategic Direction of Learning Evaluation Follows established guidelines for specific tasks. Proposes adjustments to existing project-level measurement plans. Designs and implements evaluation frameworks for entire curricula, with input from Director.
Budget Allocation (within Evaluation Function) No budget authority. Requests resources from supervisor. Manages small project budgets (up to £5K) for tools or external support. Manages workstream budgets (up to £50K) for research, tools, or external consultants.
Team Hiring & Development No direct reports. Focus on personal development. Provides informal guidance to new joiners. Mentors 0-2 junior analysts, providing technical guidance and feedback.

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.

L&D Investment ROI
Demonstrably link L&D investment to positive movement in key business KPIs, showing a clear return.
Target · Link >£5M of L&D investment to measurable positive business KPI movement annually.

After a leadership programme costing £1.5M, you show a 10% reduction in manager-level attrition, saving the business £3M in recruitment costs, proving a 2:1 ROI.

Learning Transfer Effectiveness Score
Improve how effectively skills learned in training are actually applied on the job across the business unit.
Target · Improve the business unit's learning transfer effectiveness score by 15% year-over-year.

Post-sales training, the average deal size for participants increases by 12% compared to a control group, indicating strong transfer.

Strategic Budget Reallocation Impact
Use data and insights to justify and execute the reallocation of L&D budget from low-impact to high-impact programmes.
Target · Successfully justify and execute the reallocation of >£1M in the L&D budget annually, demonstrating improved overall effectiveness.

By proving a mandatory compliance course has no behavioural impact, you reduce its budget by £500K and reallocate it to a proven sales enablement programme, which then drives a 5% revenue uplift.

Executive Reporting Adoption Rate
How often senior leaders actively use and reference your insights in their strategic planning and decision-making.
Target · Achieve >80% adoption and active referencing of key learning effectiveness reports by business unit VPs in their quarterly reviews.

The Head of Sales consistently references your 'Sales Enablement Impact Report' when discussing Q4 strategy, showing they trust and use your data.

Board/C-Suite Confidence in L&D Value
The extent to which the board and C-suite view L&D as a credible, data-driven strategic partner.
  • Regular invitations to present at board meetings, direct requests for strategic insights from the CEO or CFO, L&D budget increases based on your demonstrated ROI, positive feedback during performance reviews.
Strategic Influence on Talent Initiatives
Your ability to shape broader talent management strategies (e.g., succession planning, talent mobility) through learning insights.
  • Your data being a primary input for annual talent reviews, direct consultation by the CHRO on major talent programme designs, your team's insights driving changes in performance management frameworks.
Team Leadership & Capability Building
How well you build, mentor, and develop a high-performing team of learning evaluation specialists.
  • High team engagement scores, successful promotions within your team, positive feedback from direct reports on their development, your team being recognised for innovative analytical approaches.
Integration with Business Intelligence Ecosystem
How effectively learning data is integrated with other enterprise data sources to create a holistic view of talent and business performance.
  • Successful integration projects with HRIS, CRM, and financial systems
  • learning data appearing in cross-functional business intelligence dashboards
  • positive feedback from IT and data teams on collaboration.

7Would you like it

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

What people enjoy
Shaping Enterprise Strategy

You'll spend a good chunk of your time in strategic planning sessions, presenting to VPs, and working with the CHRO to define the talent roadmap. Your insights directly inform where we invest our people and resources.

Using your data, you convince the COO to shift £2M from a general management programme to a targeted upskilling initiative for a critical tech team, directly impacting product delivery timelines.

Driving Large-Scale Business Impact

Your work isn't about individual programmes; it's about moving the needle for an entire business unit. You'll see your recommendations lead to tangible improvements in revenue, efficiency, or retention across thousands of employees.

Your analysis identifies a critical skill gap in our customer success team, leading to a new programme that reduces churn by 5% for a key customer segment, adding millions to the bottom line.

Building and Mentoring High-Performing Teams

You'll be coaching your managers, setting the vision for your team, and making sure they have the tools and development they need. Seeing your team members grow and excel is a huge part of your satisfaction.

One of your managers, who you've mentored for three years, successfully leads a complex, cross-functional evaluation project that gets presented to the board, a clear win for their development and your leadership.

What frustrates people
  • Resistance to data-driven change from long-standing practices or pet projects, even with compelling evidence.
  • The sheer bureaucracy and slow pace of decision-making in a large enterprise, especially when trying to implement new measurement strategies.
  • Dealing with fragmented data sources and legacy systems that make holistic analysis incredibly difficult and time-consuming.
  • The 'impossible ROI request' for programmes that were never designed with measurable business outcomes in mind, forcing you into creative accounting.
  • Having to constantly justify the value of the evaluation function itself to new leadership or sceptical budget holders.
What this role does not give you
  • A quiet, purely analytical role where you just crunch numbers without having to present or persuade.
  • A 'plug and play' environment where all the data is clean and readily available from day one.
  • A role where you're solely focused on individual programme evaluation without the broader strategic remit.
  • A place where every single recommendation you make is immediately adopted without question or political navigation.

8Who you work with

This role directly shapes the strategic direction and investment decisions for a significant business unit's learning and development portfolio. Your work provides the evidence base for allocating budgets (£2M-£10M+), influencing talent strategy, and ultimately driving business performance and market position. Get it right, and L&D becomes a strategic partner; get it wrong, and it's seen as a cost centre.

Inside the business
  • C-Suite (CEO, CFO, COO, CHRO)
  • Business Unit VPs and Department Heads
  • Head of HRIS & Data Architecture
  • Finance Leadership (especially FP&A)
  • Marketing & Sales Leadership
Outside the business
  • Learning Technology Vendors (e.g., Workday, Cornerstone, Degreed)
  • External Consultants & Research Partners
  • Industry Bodies & Thought Leaders

9What you need before you start

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

  • A proven track record (10+ years) of leading and scaling a learning evaluation or talent analytics function in a large, complex organisation.
  • Demonstrable experience in designing and implementing enterprise-level learning measurement strategies, including ROI calculations and causal inference.
  • Significant experience presenting complex data and strategic recommendations to C-suite executives and board members.
  • Experience managing and developing a team of analytics professionals (managers and individual contributors).
  • Deep expertise in at least two major data visualisation tools (e.g., Tableau, Power BI) and advanced statistical programming (e.g., Python, R).

10What to practise next

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

Advanced Predictive Analytics & Machine Learning for Talent Forecasting

Moving beyond descriptive and diagnostic analytics, you'll need to direct the development of models that predict future skill gaps, employee attrition, and the impact of learning interventions before they happen. This is about proactive, not reactive, talent strategy.

Time Series Forecasting (e.g., ARIMA, Prophet) · Classification Models (e.g., Random Forest, XGBoost) · Feature Engineering for Talent Data · Model Deployment & Monitoring

  • This quarter: Review your team's current predictive capabilities and identify gaps.
  • Next quarter: Invest in training for your team on advanced ML techniques relevant to talent analytics.
  • Month 4-6: Sponsor a pilot project to build a predictive model for a critical talent outcome (e.g., identifying at-risk employees for a specific role).
  • Month 7-9: Present the results and strategic implications of your predictive models to the C-suite, advocating for their integration into talent planning.

Quick win: Identify a simple regression model your team uses and challenge them to explore a more advanced ML algorithm for the same problem, comparing the accuracy and insights.

Cloud Data Architecture & Governance for Learning Ecosystems

As learning data becomes more complex and integrated with other enterprise systems, you'll need to understand and direct the architecture of cloud-based data warehouses (e.g., Snowflake, Databricks) and ensure robust data governance for the entire learning ecosystem.

Data Lake vs. Data Warehouse vs. Data Mart · ETL/ELT Processes for Learning Data · Schema Design & Data Modelling · Data Security & Access Control in Cloud Environments

  • This quarter: Meet with our IT and HRIS data architecture teams to understand our current enterprise data strategy.
  • Next quarter: Identify key pain points in our current learning data infrastructure and propose solutions leveraging cloud technologies.
  • Month 4-6: Lead a cross-functional working group to design the target state data architecture for our learning ecosystem.
  • Month 7-9: Secure budget and resources to begin implementing phases of the new data architecture, prioritising key integrations.

Quick win: Map out the current data flow for one of our critical learning programmes, identifying all manual steps and potential points of failure.

11Staying current once you are in

What people here do to keep up
  • Regularly attend and present at industry conferences (e.g., ATD, HR Technology Conference, People Analytics World) to stay current with best practices and emerging trends.
  • Actively participate in professional communities and forums focused on learning analytics, people analytics, and HR technology.
  • Dedicate time to continuous learning in advanced statistical methods, machine learning, and cloud data architecture, even if you're not hands-on coding every day.
  • Seek out opportunities to publish articles or whitepapers on innovative approaches to learning evaluation, positioning yourself as a thought leader.

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.

Ethical AI & Algorithmic Bias Mitigation in Talent

As we use more AI for predictive analytics in talent (e.g., identifying flight risks, recommending learning paths), the ethical implications and potential for algorithmic bias become paramount. Regulators and employees will demand transparency and fairness, and you'll be on the hook for it.

  • Fairness Metrics (e.g., disparate impact, equal opportunity)
  • Explainable AI (XAI)
  • Data Governance for Ethical AI
  • Regulatory Landscape for AI in HR

Organisational Network Analysis (ONA) for Learning Transfer

Understanding who talks to whom in an organisation can reveal informal learning pathways and critical influencers for skill transfer, far beyond what formal training data tells us. This is how you move from 'did they learn?' to 'did the learning spread and stick?'

  • Centrality Measures (e.g., degree, betweenness, closeness)
  • Network Visualisation Tools (e.g., Gephi, Kumu)
  • Passive vs. Active ONA
  • Learning Ecosystem Mapping

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Kirkpatrick Model of Evaluation (Strategic Application)
  • Phillips ROI Methodology (Enterprise-Level Calculation)
  • Causal Inference Methods (Enterprise Validation)
  • Learning Transfer Strategy & Measurement
  • Advanced Survey Design & Psychometrics (Governance)

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

    From Senior Manager, Learning Analytics & Impact

    3-5 years as a Senior Manager.

    Skills to master

    • Mastering strategic influence with VPs, managing a larger team of managers, owning a significant P&L, and developing a strong executive presence. You'd be moving from managing a function to shaping a business unit's strategy.

    You're ready to move on when

    • Successfully led and delivered at least two major ROI studies that influenced significant L&D investment decisions.
    • Consistently received feedback on your ability to influence senior (VP-level) stakeholders with data-driven insights.
    • Demonstrated success in developing and mentoring managers within your team, preparing them for increased responsibility.
    • Proactively identified and championed new analytical capabilities or technologies that delivered measurable value.
  2. 2

    From Head of Talent Measurement (in a smaller organisation)

    5-7 years in a Head of role.

    Skills to master

    • Adapting to the scale and complexity of a larger enterprise, navigating more intricate political landscapes, and managing a significantly larger budget and team. You'd be moving from 'the' expert to leading a team of experts.

    You're ready to move on when

    • Successfully built and scaled a learning evaluation function from scratch or significantly expanded an existing one.
    • Proven ability to operate autonomously and make strategic decisions with limited oversight.
    • Experience presenting directly to a board or executive committee, even if for a smaller company.
    • Demonstrated capability to integrate learning data with core business metrics to drive measurable impact.

15Where this role leads

The long view: This work can lead to a Chief People Officer role, a Chief Data Officer role focused on people data, or a Head of Organisational Development and Effectiveness role.

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, Learning Effectiveness & Insights 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 Analysis and Visualisation, worked against Director, Learning Effectiveness & Insights.

Data Analysis and Visualisation Level 7

Applied to your work in Director, Learning Effectiveness & Insights

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

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.

Start my plan, free
See Your Progress Grow Illustration
Director, Learning Effectiveness & Insights
  • Kirkpatrick Model of Evaluation (Strategic Application)
  • Phillips ROI Methodology (Enterprise-Level Calculation)
  • Causal Inference Methods (Enterprise Validation)
  • Learning Transfer Strategy & Measurement
  • Advanced Survey Design & Psychometrics (Governance)
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, Learning Effectiveness & Insights is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP, Talent & Organisational Effectiveness

    3-5 years in the Director role.

    This is a significant jump, moving from owning the learning effectiveness for a business unit to shaping the entire talent strategy for the enterprise. You'd be reporting directly to the CHRO or CEO.

    • Workforce Planning & Analytics (Enterprise-wide) Directing predictive models for global talent supply and demand.
    • Organisational Design & Restructuring Leading major organisational design initiatives to optimise structure and capability.
    • Executive Compensation & Rewards Strategy Influencing executive pay structures based on performance and talent market data.
    • Culture & Engagement Transformation Driving enterprise-wide culture change programmes based on deep analytics.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, at the Director level, your time is precious. You shouldn't be bogged down in manual data wrangling or drafting reports from scratch. AI isn't just a buzzword; it's a strategic partner that can free you up to focus on what truly matters: driving business-critical insights and influencing executive decisions.

Imagine having a personal AI assistant that handles the grunt work, allowing you to spend more time on high-level strategy, stakeholder engagement, and deep analysis. For a Director of Learning Effectiveness, this means moving beyond reactive reporting to proactive, predictive insights that genuinely shape the future of our talent.

Automated Strategic Data Architect

Oversee AI-powered systems that automatically pull, clean, and integrate complex data from LMS, HRIS, CRM, and financial systems. Instead of your team spending days on data prep, AI ensures a clean, unified data lake for strategic analysis. You'll focus on validating the architecture, not scrubbing spreadsheets.

Enterprise Insight Synthesizer

Feed thousands of open-ended feedback comments, performance reviews, and qualitative interview transcripts from across the business unit into advanced AI models. Get instant, nuanced sentiment analysis, identify emerging skill gaps, and spot systemic issues in minutes, allowing you to focus on the 'so what' for executive action.

Predictive Talent Forecaster

Use AI to analyse historical learning data alongside business performance, attrition rates, and market trends to predict future skill demands and potential talent risks. This isn't just about 'what happened'; it's about 'what will happen,' enabling you to proactively shape talent strategy and investment.

Board-Ready Report Drafter

After your team completes their deep analysis, feed the key findings, data visualisations, and strategic recommendations into a generative AI. Get a polished, executive-ready first draft of your board presentations, strategic briefings, or whitepapers in a fraction of the time, allowing you to refine the narrative and focus on delivery.

Common questions

Common questions

How do you become a Director, Learning Effectiveness & Insights?

Common routes in include From Senior Manager, Learning Analytics & Impact (3-5 years as a Senior Manager.) and From Head of Talent Measurement (in a smaller organisation) (5-7 years in a Head of role.). Times vary with prior experience.

Where can a Director, Learning Effectiveness & Insights progress to?

This role can lead on to VP, Talent & Organisational Effectiveness (3-5 years in the Director role.), depending on the skills you build.

What new skills matter most for a Director, Learning Effectiveness & Insights?

Increasingly, Ethical AI & Algorithmic Bias Mitigation in Talent and Organisational Network Analysis (ONA) for Learning Transfer. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 7

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 built here, strategic influence, data analysis, team leadership and proving business value, carry across sectors. They can lead to similar director or VP roles in other large organisations, in consultancies specialising in people analytics, or in broader business intelligence leadership.

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 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.