UK

United Kingdom · Technology and data · Director/VP (16-20 years)

Director of Analytics & 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.

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  • Experience bandDirector/VP (16-20 years)
  • Direct reports4-8 reports
  • Reports toChief Data & Analytics Officer (CDAO) or Chief Technology Officer (CTO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Data Visualisation · VP of Business Intelligence · Director of Data Products · Head of Business Intelligence & Analytics

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 5 of 12 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 5 of 12 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 4 of 12 standards
Qualifi Level 5 Diploma in AI Qualifi Ltd · Level 5 · covers 3 of 12 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 12 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 12 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
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Visualisation Qualifi Level 5 Diploma in AI
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
Automation Fluency building AI into how work runs
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Director of Analytics & Insights

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

  1. Data Analysis and Visualisation OTHM Qualifications · covers 5 of 12 standards Level 7
  2. Data Analytics Pearson Education Ltd · covers 5 of 12 standards Level 5
  3. Introduction to Data Science and Big Data NCC Education Limited · covers 4 of 12 standards Level 5
  4. Visualisation Qualifi Ltd · covers 3 of 12 standards Level 5
  5. Data-led Decision Making Institute of Sales Professionals · covers 1 of 12 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 of Analytics & Insights?

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-Driven Decision Orchestration & Governance
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 of Analytics & 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.

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3What this role really is

Leads the analytics function for a business unit, setting the data strategy and running the team behind it.

4What you'd actually use

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

Tableau Desktop/Cloud & Power BI Desktop/Service Strategic

Setting governance policies for enterprise deployments (e.g., Tableau Server, Power BI Premium), evaluating new BI platforms (e.g., Looker, ThoughtSpot) for strategic fit, and ensuring platform adoption and ROI. You're not building, you're directing the 'how' and 'why'.

SQL (PostgreSQL, T-SQL) Architectural

Advising data engineering on optimal table structures, indexing strategies, and data modelling for efficient BI consumption across the business unit. You understand query execution plans and can guide performance optimisation at a high level.

Snowflake, Google BigQuery Expert

Designing and architecting schemas for analytical workloads, managing costs, performance, and data sharing strategies across the business unit's data warehouse environment. You're making strategic decisions about our cloud data infrastructure.

Python (pandas, Matplotlib, Seaborn) Strategic

Championing programmatic approaches to data preparation and analysis, integrating Python scripts into enterprise data pipelines (e.g., via Airflow or similar orchestration tools), and evaluating the strategic use of data science toolkits for business problems.

Confluence, Jira Administrator

Designing and optimising the Confluence/Jira workflow for the entire analytics function, ensuring efficient request management, project tracking, and documentation standards. You're making sure the team's operational backbone is solid.

Excel (including Power Query) Strategic

Understanding when to migrate critical Excel-based processes to enterprise BI platforms and leading those transitions. You're ensuring we move away from 'spreadsheet truth' to a governed, scalable data environment.

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
Data Strategy & Roadmap N/A N/A N/A
Budget Allocation & Investment N/A N/A N/A
Team Hiring & Organisational Design N/A N/A N/A
Technology & Platform Selection N/A N/A N/A
Major Business Initiative Support 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.

P&L Impact from Data-Driven Initiatives
The attributed revenue gain or cost savings directly resulting from insights, tools, or strategies developed by your analytics function.
Target · Generate >£2M in quantifiable business value annually (e.g., increased sales, reduced churn, optimised costs).

Identifying a £3M annual cost saving opportunity by optimising supply chain logistics based on your team's predictive models, or a £5M revenue uplift from a new customer segmentation strategy.

Business Unit Data Literacy Score Improvement
The year-on-year increase in the business unit's overall data literacy, as measured by internal assessments or surveys.
Target · Improve the business unit's average data literacy score by 15% year-on-year.

Moving the average score from 60% to 69% across the business unit, indicating a stronger understanding and use of data by non-technical teams.

Self-Service Analytics Adoption Rate
The percentage of business users who actively use and create their own reports and dashboards using self-service BI platforms, reducing reliance on ad-hoc requests to your team.
Target · Achieve >60% weekly active users on key self-service BI platforms within the business unit.

If 100 business users have access, at least 60 are logging in weekly to explore data or build their own reports, rather than submitting tickets to your team.

Analytics Platform ROI & Efficiency Gains
Demonstrating a positive return on investment for BI tool and data platform expenditures through quantifiable efficiency gains, reduced manual effort, and improved decision-making speed.
Target · Show a positive ROI (e.g., 1.5x-2x) on analytics platform investments through documented savings and value creation.

Investing £500K in a new data platform that leads to £1M in annual efficiency savings from automated reporting and faster insight generation.

Strategic Influence & Thought Leadership
The extent to which you and your team are proactively consulted on major strategic decisions and recognised as critical partners in shaping the business unit's future.
  • Regular invitations to C-suite and Board strategy sessions
  • your opinions are sought on key business initiatives
  • you're seen as a trusted advisor, not just a data provider
  • participation in industry panels or publications.
Team Leadership & Talent Development
Your ability to build, mentor, and retain a high-performing analytics team, fostering a culture of excellence, continuous learning, and psychological safety.
  • Low attrition rates within your team
  • internal promotions and career progression of your direct reports
  • positive feedback in 360-degree reviews
  • a demonstrable increase in team capabilities and morale
  • managers under you are thriving.
Business Unit Data Culture & Adoption
The degree to which data-driven decision-making is embedded in the day-to-day operations and strategic planning across the business unit, moving beyond intuition to evidence.
  • Data is consistently used to challenge assumptions and validate hypotheses in business reviews
  • leaders across the business unit actively ask 'what does the data say?'
  • widespread adoption of data governance best practices
  • a noticeable shift in how decisions are made at all levels.

7Would you like it

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

What people enjoy
Shaping Business Strategy through Data

You'll spend time in executive meetings, challenging assumptions with data, and presenting new opportunities. You'll lead strategic planning sessions for your function, ensuring data is at the core of every major business decision.

Leading a quarterly business review where your team's insights directly inform a major shift in product development or market entry strategy.

Building and Mentoring High-Performing Teams

You'll spend significant time coaching your managers, developing career paths for your team members, and recruiting top talent. You'll foster a culture where innovation and continuous learning are the norm.

Seeing a manager you've mentored successfully lead a complex, high-impact programme, or celebrating the promotion of a senior analyst within your team.

Driving Measurable Organisational Impact

You'll be constantly looking for ways to link your team's work directly to revenue growth, cost reduction, or improved customer experience. You'll champion initiatives that have a clear, quantifiable impact on the business unit's P&L.

Presenting to the C-suite how your analytics strategy led to a £5M increase in sales or a 10% reduction in operational costs.

What frustrates people
  • Lack of executive sponsorship or understanding for data initiatives, leading to stalled projects.
  • Budget constraints that limit your ability to invest in new tools or talent.
  • Organisational silos and resistance to data sharing or standardisation.
  • Constant firefighting and reactive requests instead of proactive strategic work.
  • The slow pace of change in large organisations, especially when trying to shift culture.
  • Having to justify the value of data analytics repeatedly to different stakeholders.
What this role does not give you
  • Daily hands-on data analysis or dashboard building (this is delegated to your team).
  • A purely technical individual contributor path (this is a leadership role).
  • Complete autonomy without significant stakeholder management or political navigation.
  • A quiet, heads-down work environment (expect constant meetings and interactions).
  • Immediate gratification from small, tactical wins (your wins are strategic and long-term).

8Who you work with

This role directly shapes the strategic direction, operational efficiency, and competitive advantage of a significant business unit. You're accountable for driving measurable P&L impact through data-driven insights, fostering a culture of data literacy, and building a scalable, high-performing analytics capability. Your decisions influence multi-million pound investments and the trajectory of the business.

Inside the business
  • Business Unit Heads (e.g., Head of Sales, Head of Marketing, Head of Operations)
  • C-Suite (CEO, CFO, CMO)
  • Product Leadership
  • Engineering Leadership
  • Legal & Compliance
Outside the business
  • Industry Bodies & Associations
  • Key Technology Vendors (e.g., Tableau, Snowflake, Google)
  • Strategic Partners & Clients
  • Investors (occasionally, for specific data insights)

9What you need before you start

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

  • Proven track record of 16-20 years in data analytics, business intelligence, or a related technical leadership role, with at least 5-7 years managing managers and large teams (25+ people).
  • Demonstrable experience in defining and executing data strategies that have driven significant, quantifiable business impact (e.g., £multi-million revenue growth or cost savings).
  • Extensive experience presenting to and influencing C-suite executives and Board members on complex data topics.
  • Deep understanding of modern data architecture, cloud data platforms, and advanced analytics methodologies.
  • A history of successfully building, mentoring, and retaining high-performing analytics teams in dynamic environments.
  • Strong financial acumen and experience managing significant departmental budgets (typically £2M+).

10What to practise next

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

Data Product Management & Monetisation

Data is increasingly seen as a product, both internally and externally. Your role will involve treating dashboards, models, and data sets as products with roadmaps, user feedback loops, and clear value propositions. This is important within 18 months, as companies increasingly look to monetise their data assets.

Data Product Lifecycle · User Research for Data Products · Data Monetisation Strategies · Data Product Roadmapping

  • This quarter: Define one 'data product' within your business unit (e.g., a core dashboard suite or a specific data set) and assign a product owner.
  • Next quarter: Implement a formal user feedback loop and a basic roadmap for your identified data product.
  • Month 6: Explore potential external monetisation opportunities for some of your business unit's data assets.
  • Month 9: Document the ROI of treating data assets as products, focusing on user adoption and business impact.

Quick win: Start by identifying your most critical dashboards or data sets and thinking about them as if they were external products. Who are the users? What are their pain points? How can you make them indispensable?

11Staying current once you are in

What people here do to keep up
  • Regularly attending industry conferences and executive summits (e.g., Gartner Data & Analytics Summit, World Summit AI) to stay abreast of emerging trends and network with peers.
  • Participating in executive coaching or leadership development programmes to refine strategic thinking, influence, and team management skills.
  • Engaging in peer groups or advisory boards with other Directors/VPs of Analytics to share best practices and tackle common challenges.
  • Contributing to industry publications or speaking at events, establishing yourself as a thought leader in data and analytics.
  • Mentoring junior leaders within the organisation, which is a fantastic way to reinforce your own leadership principles and give back.

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-Driven Decision Orchestration & Governance

AI is moving beyond just generating insights; it's increasingly automating decisions directly. As a leader, your role shifts from reporting on past performance to governing these autonomous decision systems, ensuring they're ethical, effective, and compliant. This is critical within 12 months—it's already happening, not a distant future.

  • Explainable AI (XAI)
  • AI Ethics & Fairness
  • Decision Automation Platforms
  • MLOps for Decision Systems

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Data Strategy & Architecture
  • Advanced Data Governance & Quality Frameworks
  • Business Unit P&L & Financial Modelling
  • Change Management & Adoption
  • Advanced Analytics & Machine Learning Strategy

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 Data Visualisation Engineer / Lead Data Scientist (from a larger organisation)

    Transitioning from a Lead role in a much larger, more complex organisation, you'd typically have spent 8-12 years building deep technical and leadership expertise, then another 4-8 years in a Manager/Principal role before this Director role. It's about scaling your impact.

    Skills to master

    • Moving from technical leadership to strategic leadership, managing multiple teams, P&L responsibility, executive communication, and organisational design.

    You're ready to move on when

    • Proven ability to set technical direction for large teams and influence product roadmaps.
    • Experience managing significant projects with cross-functional impact.
    • Demonstrated success in mentoring and developing senior individual contributors.
    • Clear understanding of business drivers and how data translates into commercial outcomes.
  2. 2

    Manager, Business Intelligence / Head of Analytics (from a mid-sized company)

    This path usually involves 12-16 years of experience, including 5-8 years managing teams and owning an analytics function in a smaller or mid-sized company, then stepping up to a Director role in a larger, more complex organisation.

    Skills to master

    • Scaling leadership capabilities, managing larger budgets, navigating complex corporate politics, and influencing at the C-suite and Board level.

    You're ready to move on when

    • Success in building and leading an analytics function from the ground up or through significant growth.
    • Experience managing a departmental budget and making strategic technology choices.
    • Strong track record of stakeholder management and delivering measurable business impact.
    • Demonstrated ability to attract, develop, and retain top talent.
  3. 3

    Consulting Leader (Data & Analytics Practice)

    Typically 15-20 years in consulting, including significant time at Principal or Partner level, leading large data transformation programmes for diverse clients. This provides a broad strategic perspective.

    Skills to master

    • Transitioning from client-facing delivery to internal ownership, building long-term internal capabilities, and managing a permanent in-house team vs. project-based consulting teams.

    You're ready to move on when

    • Extensive experience defining data strategies for multiple organisations.
    • Proven ability to influence senior executives and drive large-scale change.
    • Strong understanding of various industry data challenges and solutions.
    • Experience in talent development and practice building within a consulting context.

15Where this role leads

The long view: This work can lead to roles such as Chief Data & Analytics Officer or Chief Technology Officer, shaping data strategy across a whole organisation.

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 of Analytics & Insights is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • General Manager / Business Unit Head

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 of Analytics & Insights.

Data Analysis and Visualisation Level 7

Applied to your work in Director of Analytics & 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.

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See Your Progress Grow Illustration
Director of Analytics & Insights
  • Enterprise Data Strategy & Architecture
  • Advanced Data Governance & Quality Frameworks
  • Business Unit P&L & Financial Modelling
  • Change Management & Adoption
  • Advanced Analytics & Machine Learning Strategy
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 of Analytics & Insights is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Data & Analytics Officer (CDAO)

    Roughly 3-5 years in the Director role, demonstrating consistent, high-impact leadership and strategic vision across multiple business cycles.

    This is a significant jump to Level 7, C-Suite, with enterprise-wide scope and accountability.

    • M&A due diligence and integration from a data perspective.
    • Advanced regulatory compliance across all business lines.
    • Large-scale organisational change leadership (1000+ people).
    • Managing relationships with C-suite peers and the Board of Directors.

  2. General Manager / Business Unit Head

    Around 4-6 years in the Director role, demonstrating a broad understanding of business operations beyond just data, and a strong commercial acumen.

    This is often a lateral move or a slight upward step, depending on the size and scope of the business unit, potentially moving into Level 6 or 7.

    • Comprehensive understanding of all functional areas within a business unit.
    • Leading cross-functional teams with diverse objectives.
    • Managing external client relationships and partnerships.
    • Developing and executing overall business strategy.
Working with AI on the job

Working with AI

Where AI is starting to help

As a Director of Analytics & Insights, your time is precious. You're constantly juggling strategic planning, team leadership, stakeholder management, and executive communications. Honestly, the operational overhead can feel relentless. But what if you could offload a significant chunk of that? AI isn't just for junior roles; it's a game-changer for leaders like you, freeing up valuable time to focus on what truly matters: strategy and impact.

Imagine having a highly intelligent assistant that handles the grunt work of analysis, reporting, and communication, allowing you to dedicate more energy to high-level thinking, team development, and driving the business forward. This isn't science fiction; it's happening now. Our AI Productivity Hub is designed to integrate seamlessly into your workflow, making you and your team dramatically more efficient.

Strategic Insight Synthesis

Use AI to rapidly summarise complex reports, identify key trends across disparate data sources, and highlight strategic opportunities you might otherwise miss. It's like having a team of junior analysts crunching numbers 24/7, giving you the distilled insights you need for executive decisions.

Executive Communication Drafting

Let AI draft your initial board presentations, investor updates, and internal strategic memos. It'll help you articulate complex data strategies with clarity and impact, ensuring your message resonates with senior leadership and saves you hours of writing and refining.

Team Workflow Optimisation

AI tools can help you design and automate team processes, track project progress, and identify bottlenecks within your analytics function. This means less time on operational oversight and more time empowering your managers and individual contributors to excel.

Advanced Market & Competitor Analysis

Leverage AI to rapidly sift through vast amounts of external data, news articles, financial reports, and competitor intelligence. Get instant summaries of market trends, competitive moves, and emerging technologies, giving you a significant edge in strategic planning.

Common questions

Common questions

How do you become a Director of Analytics & Insights?

Common routes in include Lead Data Visualisation Engineer / Lead Data Scientist (from a larger organisation) (Transitioning from a Lead role in a much larger, more complex organisation, you'd typically have spent 8-12 years building deep technical and leadership expertise, then another 4-8 years in a Manager/Principal role before this Director role. It's about scaling your impact.), Manager, Business Intelligence / Head of Analytics (from a mid-sized company) (This path usually involves 12-16 years of experience, including 5-8 years managing teams and owning an analytics function in a smaller or mid-sized company, then stepping up to a Director role in a larger, more complex organisation.) and Consulting Leader (Data & Analytics Practice) (Typically 15-20 years in consulting, including significant time at Principal or Partner level, leading large data transformation programmes for diverse clients. This provides a broad strategic perspective.). Times vary with prior experience.

Where can a Director of Analytics & Insights progress to?

This role can lead on to Chief Data & Analytics Officer (CDAO) (Roughly 3-5 years in the Director role, demonstrating consistent, high-impact leadership and strategic vision across multiple business cycles.) and General Manager / Business Unit Head (Around 4-6 years in the Director role, demonstrating a broad understanding of business operations beyond just data, and a strong commercial acumen.), depending on the skills you build.

What new skills matter most for a Director of Analytics & Insights?

Increasingly, AI-Driven Decision Orchestration & Governance. These are the skills our record of this role lists as growing.

Free tools

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

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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 technology and data

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

The skills built in this role transfer across sectors including FinTech, healthcare, retail, manufacturing and the public sector. Data strategy, leadership and business impact matter in the same way wherever they are applied.

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 Director of Analytics & Insights 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.