UK

United Kingdom · Corporate Strategy · Director/VP (16-20 years)

Director, Business Intelligence & Strategy

Here is the whole job, in plain words. What it is, a real day, 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.

  • Experience bandDirector/VP (16-20 years)
  • Direct reports10-25 reports
  • Reports toVP, Strategic Insights & Analytics
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Head of Strategic Analytics · VP of Data Insights (Corporate) · Director of Enterprise BI

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Director, Business Intelligence & Strategy

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

This isn't just about crunching numbers; it's about shaping where the company goes next. You'll be the person who translates complex market dynamics and internal performance into clear, actionable strategic choices for the executive team. Think of it as being the data-driven compass for our long-term vision. You're not just reporting on the past, you're helping us build the future.

2What you'd actually use

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

Tableau Server/CloudArchitect

Managing user access, performance monitoring, data source certification, and setting governance policies for the entire BI platform.

SnowflakeArchitect

Guiding data modelling, cost optimisation, and ensuring efficient data storage and retrieval for strategic analytics.

Python (Data Science Libraries)Strategic

Setting standards for advanced analytics, guiding the development of predictive models, and overseeing the integration of ML into strategic insights.

Anaplan / PigmentStrategic

Collaborating with Finance on the architectural design of strategic planning models and ensuring BI data flows accurately into these systems.

Jira / ConfluenceAdministrator

Optimising project workflows, managing the BI team's roadmap, and ensuring robust documentation for strategic data assets.

Microsoft Office Suite (Excel, PowerPoint, Word)Expert

Auditing complex financial models, crafting executive-level presentations, and drafting strategic documents with clarity and precision.

3What 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 inWhere you are nowThe step above
Strategic BI Investments (e.g., new data platform)N/A (inform)N/A (inform)N/A (recommend with input)
Hiring & Organisational Design for BI TeamN/A (inform)N/A (inform)N/A (inform)
Data Governance Policies & StandardsN/A (follow)N/A (adhere)N/A (contribute to definition)
M&A Due Diligence & Integration Strategy (Data Perspective)N/AN/AN/A

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Strategic Decision Influence
The number and value of major strategic decisions (e.g., market entry, M&A, significant investment) where your team's insights were a primary driver.
Target · Influence 2-3 major strategic decisions per year, each with a potential impact of >£1M.

Your analysis of the APAC market potential directly led to a £5M investment decision, which is now tracking ahead of plan.

Organisational Data Literacy Score
Improvement in the company's overall ability to understand, interpret, and use data effectively across various departments.
Target · Increase the company-wide data literacy score by 15% year-on-year (measured via internal survey and BI tool adoption rates).

After implementing your new data education programme, the Q2 data literacy survey showed a 17% uplift in understanding of core business metrics among non-technical teams.

BI Function Efficiency & Cost Optimisation
Cost savings achieved through optimising data infrastructure, automating reporting, and streamlining data processes.
Target · Reduce BI operational costs by 10% or identify £250K+ in annual savings through process improvements.

By migrating legacy data pipelines to a more efficient cloud service and automating several manual reports, your team saved £300K in annual infrastructure and labour costs.

Talent Development & Retention
The growth and retention of your direct reports, specifically managers and lead analysts.
Target · Achieve a 90%+ retention rate for high-performing direct reports and see at least 2 team members promoted or take on significantly expanded roles each year.

Two of your BI Managers were promoted to Senior Manager roles, and another Lead Analyst moved into a Principal Architect position, all while maintaining team morale and output.

Executive Trust & Strategic Counsel
The degree to which C-suite and VPs proactively seek your input and that of your team for critical strategic discussions and problem-solving.
  • You're regularly invited to C-suite strategy sessions, your opinion is sought on major investment decisions, and your team's insights are frequently referenced in board meetings. People come to you for the 'real story' behind the numbers.
Cross-functional Data Alignment
Your ability to bring different departments (e.g., Sales, Marketing, Finance) to a common understanding and agreement on key business metrics and data definitions.
  • You've successfully resolved long-standing data disputes between teams, established clear 'single sources of truth' for critical metrics, and fostered a culture where teams defer to your team's data definitions without constant debate.
Innovation & Future-Proofing
Your success in identifying, evaluating, and implementing new technologies, methodologies, or approaches that keep our BI capabilities ahead of the curve.
  • You've successfully piloted and integrated new AI tools into the BI workflow, introduced novel analytical frameworks (e.g., advanced causal inference), and your team is seen as a thought leader internally on data strategy. You're not just keeping up
  • you're setting the pace.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Building a Lasting Legacy

You'll spend time designing the long-term data architecture, mentoring your managers to become future leaders, and establishing robust processes that will outlive your tenure. You're thinking about the next 5-10 years, not just the next quarter.

You're not content with just delivering a single project; you're thinking about how that project can be scaled, automated, and integrated into a broader data strategy that benefits the entire company for years.

Solving Complex Organisational Puzzles

You thrive on ambiguous, multi-faceted problems that cross departmental boundaries and have no obvious answer. You enjoy dissecting these challenges, using data to uncover the root causes, and then assembling a coherent, data-backed solution.

When the CEO asks 'Why are we losing market share in Region X?', you don't just pull sales numbers. You orchestrate a deep dive into product features, competitive pricing, marketing spend, and customer feedback to get the full picture.

Mentoring and Developing Talent

A significant part of your day will involve coaching your managers and lead analysts, helping them navigate tricky stakeholder conversations, refine their analytical approaches, and grow their careers. You genuinely enjoy seeing your team succeed and develop.

You regularly set aside time for 1-on-1s, provide constructive feedback on presentations, and actively seek out development opportunities for your team, even if it means delegating a high-profile task you'd normally do yourself.

What frustrates people
  • Dealing with legacy systems and data silos that make getting a single source of truth feel like an archaeological dig.
  • The political dance required to get different departments to agree on common metrics or data definitions, even when the data is crystal clear.
  • Having to constantly justify the investment in better data infrastructure or tools to people who only see the cost, not the long-term strategic value.
  • The sheer volume of 'urgent' requests that can derail your team's carefully planned roadmap, often from senior leaders who don't understand the effort involved.
What this role does not give you
  • A purely technical, hands-on coding role – you'll be guiding, not always doing.
  • A quiet, heads-down environment – expect lots of meetings, presentations, and stakeholder management.
  • Instant gratification – strategic impact takes time to materialise, so patience is key.
  • Complete control over all data sources – you'll need to influence other teams to improve their data capture.

6Who you work with

Your work here directly shapes our business strategy and market position. We're talking about influencing decisions that affect millions of pounds, our product roadmap for the next three years, and how we respond to major market shifts. You're building the intelligence layer that underpins our long-term success.

Inside the business
  • Chief Strategy Officer (CSO)
  • Chief Financial Officer (CFO)
  • Chief Product Officer (CPO)
  • VP of Sales & Marketing
  • Heads of Business Units
Outside the business
  • Industry analysts (e.g., Gartner, Forrester)
  • Strategic partners and vendors
  • Potential M&A targets (during due diligence)
  • Board members (occasionally for specific deep dives)

7What you need before you start

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

  • Proven experience (12-16 years) leading and managing Business Intelligence or Strategic Analytics teams, including managing managers.
  • A deep, demonstrable understanding of corporate finance, strategic planning methodologies, and market analysis.
  • Extensive experience presenting complex data and strategic recommendations to C-suite executives and Board members.
  • A track record of building and scaling data capabilities within a fast-growing organisation.
  • Demonstrable experience with large-scale data architecture and governance initiatives.

8What to practise next

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

Advanced Predictive Modelling & ML Ops

Moving beyond descriptive and diagnostic analytics, we need to build prescriptive capabilities that actively recommend strategic actions. This requires a deeper understanding of advanced machine learning models and how to deploy and manage them reliably in production.

Model Lifecycle Management (MLOps) · Causal Inference Techniques · Reinforcement Learning for Strategy · Model Interpretability

  • This quarter: Review your team's current predictive models; identify opportunities for more advanced techniques or better MLOps practices.
  • Next 6 months: Sponsor a pilot project to implement a new causal inference framework for a key strategic question.
  • Next year: Work with Engineering to establish a robust MLOps pipeline for all strategic predictive models.
  • Ongoing: Follow leading data science blogs and research papers to stay current on new modelling approaches.

Quick win: Challenge your team to move one existing descriptive report into a predictive model, even if it's a simple one. Focus on the 'what will happen' rather than just 'what did happen'.

9Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., Gartner Data & Analytics Summit, Tableau Conference) to stay abreast of trends and network with peers.
  • Participate in executive leadership development programmes focused on strategy, influence, and organisational change.
  • Engage in continuous learning through online courses (e.g., Coursera, edX) in advanced analytics, machine learning, or data governance.
  • Actively mentor junior talent, both within your team and across the organisation, to hone your leadership and coaching skills.
  • Publish thought leadership pieces (e.g., blog posts, articles) on data strategy or BI best practices to establish your expertise externally.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Data Ethics & Responsible AI Leadership

As AI becomes more integral to strategic decision-making, the ethical implications (bias, privacy, fairness) become paramount. Regulators, customers, and employees will demand transparency and accountability. You'll need to lead the charge here.

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

Your PlanIllustration

Built for Director, Business Intelligence & Strategy

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

  1. Data Analysis and VisualisationOTHM Qualifications · covers 5 of 10 standardsLevel 7
  2. Data AnalyticsPearson Education Ltd · covers 5 of 10 standardsLevel 5
  3. Data analysis and designPearson Education Ltd · covers 2 of 10 standardsLevel 5
  4. Data Analytics PrimerNOCN · covers 6 of 10 standardsLevel 4
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.

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.

Data Ethics & Responsible AI Leadership

As AI becomes more integral to strategic decision-making, the ethical implications (bias, privacy, fairness) become paramount. Regulators, customers, and employees will demand transparency and accountability. You'll need to lead the charge here.

  • AI Governance Frameworks
  • Bias Detection & Mitigation
  • Explainable AI (XAI)
  • Data Privacy by Design

Ecosystem Integration & API Strategy

Our strategic insights are only as good as our ability to connect disparate data sources across the entire business ecosystem (internal systems, partners, external vendors). You'll need to champion a unified data strategy that leverages APIs for seamless integration.

  • API-First Data Architecture
  • Data Mesh Principles
  • Cloud-Native Data Stacks
  • Data Product Management

What you’ll use

Skills this role draws on

Technical

  • SQL (Strategic)
  • BI Platform (Tableau) (Architect)
  • Data Wrangling (Python w/ pandas, NumPy) (Strategic)
  • Advanced Spreadsheet (Excel w/ Power Query, Power Pivot, VBA) (Strategic)
  • Data Warehouse (Snowflake) (Architect)
  • Financial Planning (Anaplan / Pigment) (Strategic)
  • Project Management (Jira / Confluence) (Administrator)

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 BI Manager (L5) within Zavmo

    Roughly 3-5 years as a high-performing BI Manager, demonstrating readiness for broader strategic scope and people leadership.

    Skills to master

    • Scaling a team, managing multiple workstreams, influencing senior stakeholders, and taking accountability for significant business outcomes.

    You're ready to move on when

    • Successfully led a major BI initiative that directly impacted a £1M+ business decision.
    • Consistently developed and promoted at least 2-3 team members.
    • Proactively identified and solved an organisational-level data problem (e.g., a major data quality issue affecting multiple departments).
    • Demonstrated strong executive presence in presentations to VPs and C-suite.
  2. 2

    From Consulting (Senior Manager/Principal)

    Typically 10-15 years in a top-tier management consulting firm, specialising in data strategy, digital transformation, or corporate strategy.

    Skills to master

    • Translating strategic recommendations into actionable implementation plans, managing complex client relationships, and building high-performing project teams.

    You're ready to move on when

    • Led multiple data strategy engagements for large clients, with demonstrable impact.
    • Managed project teams of 5+ consultants.
    • Comfortable with the ambiguity of internal corporate roles compared to client-facing work.
    • Strong grasp of a specific industry sector relevant to Zavmo.
  3. 3

    From Director-level Analytics at Another Company

    Roughly 16-20 years overall experience, with at least 3-5 years in a similar Director-level role, managing a BI or strategic analytics function.

    Skills to master

    • Adapting to a new company culture, quickly understanding our specific business model and data landscape, and building credibility with new stakeholders.

    You're ready to move on when

    • Successfully built and led a BI function with a similar scope and team size.
    • Proven track record of influencing C-suite decisions through data.
    • Experience in the SaaS/FinTech industry is a huge plus.
    • Can articulate clear examples of driving strategic change through data in previous roles.

11Where this role leads

The long view:This role is a significant stepping stone for a long and impactful career at the intersection of data and business strategy. We're looking for someone who isn't just looking for their next job, but their next big challenge – a chance to truly shape the future of a company with data.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

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, Business Intelligence & Strategy is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Data Analysis and VisualisationLevel 7

Applied to your work in Director, Business Intelligence & Strategy

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. 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.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Director, Business Intelligence & Strategy

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • Strategic Decision InfluenceThe number and value of major strategic decisions (e.g., market entry, M&A, significant investment) where your team's insights were a primary driver.Your analysis of the APAC market potential directly led to a £5M investment decision, which is now tracking ahead of plan.Influence 2-3 major strategic decisions per year, each with a potential impact of >£1M.
  • Organisational Data Literacy ScoreImprovement in the company's overall ability to understand, interpret, and use data effectively across various departments.After implementing your new data education programme, the Q2 data literacy survey showed a 17% uplift in understanding of core business metrics among non-technical teams.Increase the company-wide data literacy score by 15% year-on-year (measured via internal survey and BI tool adoption rates).
  • BI Function Efficiency & Cost OptimisationCost savings achieved through optimising data infrastructure, automating reporting, and streamlining data processes.By migrating legacy data pipelines to a more efficient cloud service and automating several manual reports, your team saved £300K in annual infrastructure and labour costs.Reduce BI operational costs by 10% or identify £250K+ in annual savings through process improvements.
  • Talent Development & RetentionThe growth and retention of your direct reports, specifically managers and lead analysts.Two of your BI Managers were promoted to Senior Manager roles, and another Lead Analyst moved into a Principal Architect position, all while maintaining team morale and output.Achieve a 90%+ retention rate for high-performing direct reports and see at least 2 team members promoted or take on significantly expanded roles each year.
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Director, Business Intelligence & Strategy to VP, Strategic Insights & Analytics (L7), and whatever you decide comes after.

Level 7 · in progressAI Fluency→ VP, Strategic Insights & Analytics (L7)→ your design
Where this takes you

This role is a significant stepping stone for a long and impactful career at the intersection of data and business strategy. We're looking for someone who isn't just looking for their next job, but their next big challenge – a chance to truly shape the future of a company with data.

See Your Progress GrowIllustration
Director, Business Intelligence & Strategy
  • SQL (Strategic)
  • BI Platform (Tableau) (Architect)
  • Data Wrangling (Python w/ pandas, NumPy) (Strategic)
  • Advanced Spreadsheet (Excel w/ Power Query, Power Pivot, VBA) (Strategic)
  • Data Warehouse (Snowflake) (Architect)
  • Financial Planning (Anaplan / Pigment) (Strategic)
  • Project Management (Jira / Confluence) (Administrator)
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.

14The 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, Business Intelligence & Strategy is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. VP, Strategic Insights & Analytics (L7)

    Roughly 3-5 years as a high-performing Director, demonstrating consistent strategic impact and organisational leadership.

    This is a jump to the executive leadership team, influencing enterprise-wide strategy and reporting to the CEO/Board.

    • Advanced Organisational Design: Structuring large, multi-disciplinary data organisations (100s+ people).
    • Enterprise Data Product Strategy: Defining and overseeing the development of data products that serve the entire company.
    • Global Regulatory Compliance: Navigating complex international data regulations and privacy laws.
    • Strategic Partnership Development: Building relationships with key technology partners and industry bodies at a global level.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a Director's time is precious. You're juggling strategic vision, team leadership, and executive influence. The good news? AI isn't just for junior analysts anymore. We're embedding AI tools into our strategic workflow to free you up for the truly high-impact work.

Imagine cutting through the noise faster, generating deeper insights, and communicating your vision more powerfully. That's what AI can do for you in this role. It's about augmenting your strategic brainpower, not replacing it. We're building an AI-first culture, and you'll be at the forefront of it.

Strategic Scenario Modeller

Use AI to quickly generate and test hundreds of strategic scenarios for market entry, product pricing, or investment decisions. Feed it your assumptions, and it'll help you explore the 'what ifs' at lightning speed, far beyond what manual models can do. This means you spend less time building permutations and more time interpreting the implications.

Executive Briefing Assistant

After your team has crunched the numbers, use AI to synthesise complex, multi-page reports into concise, punchy executive summaries or board-ready talking points. It handles the initial drafting, freeing you to refine the narrative and focus on the crucial 'so what' for your C-suite audience. No more staring at a blank page for hours.

Data Governance & Quality Monitor

Deploy AI-powered tools to proactively monitor our entire data ecosystem. It'll automatically flag anomalies, identify potential data quality issues, and even suggest fixes before they impact your strategic models. This means fewer fire drills and more trust in the data underpinning your biggest decisions.

Market Trend Predictor

Integrate AI to continuously analyse vast amounts of external data—news, social media, industry reports, competitor filings—to spot emerging market trends, competitive shifts, or potential disruptions. It gives you an early warning system, allowing you to react strategically, rather than just reactively.

Common questions

Common questions

How do you become a Director, Business Intelligence & Strategy?

Common routes in include From BI Manager (L5) within Zavmo (Roughly 3-5 years as a high-performing BI Manager, demonstrating readiness for broader strategic scope and people leadership.), From Consulting (Senior Manager/Principal) (Typically 10-15 years in a top-tier management consulting firm, specialising in data strategy, digital transformation, or corporate strategy.) and From Director-level Analytics at Another Company (Roughly 16-20 years overall experience, with at least 3-5 years in a similar Director-level role, managing a BI or strategic analytics function.). Times vary with prior experience.

Where can a Director, Business Intelligence & Strategy progress to?

This role can lead on to VP, Strategic Insights & Analytics (L7) (Roughly 3-5 years as a high-performing Director, demonstrating consistent strategic impact and organisational leadership.), depending on the skills you build.

What level is a Director, Business Intelligence & Strategy in the UK?

This role aligns to RQF Level 7 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Director, Business Intelligence & Strategy?

Increasingly, Data Ethics & Responsible AI Leadership and Ecosystem Integration & API Strategy. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Director, Business Intelligence & Strategy, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 10 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Director, Business Intelligence & Strategy: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where 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.

Other roles in Corporate Strategy

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll develop here—strategic thinking, data leadership, executive influence, and building high-performing teams—are highly transferable. You could move into similar Director or VP roles in other high-growth tech companies, FinTech, or even traditional industries undergoing digital transformation. Your ability to translate data into strategic action is universally valued.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth 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. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. 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.