UK

United Kingdom · Corporate strategy · Mid-Level (2-5 years)

VP of Global Strategy

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 bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toStrategy Manager
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Senior Strategy Analyst · Strategy Consultant · Corporate Development Associate

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

NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 1 of 1 standard
Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF) Highfield Qualifications · Level 3 · covers 1 of 1 standard
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 1 of 1 standard
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 1 of 1 standard
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 1 standard
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 1 of 1 standard

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

The units you would start with

Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analysis Highfield Level 3 Diploma for Team Leaders and Supervisors (RQF)
Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England
Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science

The future skills this job leans on

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

Built for VP of Global Strategy

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

  1. Data Analytics Primer NOCN · covers 1 of 1 standards Level 4
  2. Data Analysis Highfield Qualifications · covers 1 of 1 standards Level 3
  3. Data Analytics Pearson Education Ltd · covers 1 of 1 standards Level 4
  4. Data Analysis and Visualisation OTHM Qualifications · covers 1 of 1 standards Level 7
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 VP of Global Strategy?

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

  • Prompt Engineering & LLM Integration (for Research)
  • Data Storytelling with Advanced Visualisation
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 VP of Global Strategy 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

A VP of Global Strategy turns big, messy business questions into clear, data-driven answers.

4What you'd actually use

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

Excel Advanced

Building 3-statement financial models, performing complex data analysis with VLOOKUP/INDEX(MATCH), PivotTables, and scenario managers. You'll be building and troubleshooting complex spreadsheets regularly.

Tableau / Power BI Basic

Connecting to clean data sources, building standard dashboards and charts from templates, and performing basic filtering and drill-downs to extract specific insights for your analysis.

Anaplan / Pigment User

Inputting data into existing planning models, running pre-built scenarios, and pulling reports to get the numbers you need for your strategic analysis. You'll understand the basic structure of our planning models.

S&P Capital IQ / PitchBook Intermediate

Efficiently pulling company financials, screening for M&A targets based on defined criteria, and finding comparable company/transaction data for competitive benchmarking and valuation exercises.

Confluence / Notion User

Documenting your project findings, meeting notes, and analysis methodologies clearly within the established team structure. This is where you'll keep track of your work and share it with the team.

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
Analytical Approach & Methodology Follows prescribed methods; seeks guidance on variations. Chooses appropriate methods for routine problems; proposes alternatives for novel ones, consulting manager. Designs and validates complex methodologies; makes independent decisions on technical approach within project scope.
Data Sourcing & Validation Uses provided data sets; flags obvious errors to supervisor. Independently identifies and pulls data from internal/external sources; performs initial validation; escalates significant integrity issues. Defines data requirements; establishes validation protocols; makes decisions on data quality trade-offs for analysis.
Project Prioritisation (within own workstreams) Follows manager's prioritisation. Manages own task prioritisation within assigned workstreams; flags potential conflicts or missed deadlines to manager. Negotiates priorities for own workstreams with project leads; makes recommendations on resource allocation for specific tasks.
External Vendor Engagement (e.g., market research) No direct engagement. May participate in vendor calls to gather requirements; provides input on vendor selection; no financial authority. Manages day-to-day relationship with specific vendors; approves invoices up to £5K; recommends new vendors.

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.

Model Accuracy
The precision of your financial models, market sizing, and forecast predictions.
Target · <2% error rate in key financial models and market sizing exercises.

If you're building a market size model for a new region, we'd expect your estimate to be within 2% of the actual market size once we get real-world data or third-party validation. A £10M market estimate that turns out to be £12M means we've got a 20% error, which isn't good enough.

Data Integrity
Ensuring all data you use is accurate, properly sourced, and clearly cited.
Target · 100% of data sourced and cited correctly in all reports and presentations.

Every number you present, every chart you create, should have a clear, verifiable source. No 'back of the envelope' figures making it into a board deck. If you say 'the market is growing at 15%', we need to know exactly which report from which firm stated that, and when.

Turnaround Time for Ad-Hoc Requests
How quickly you can deliver on urgent, smaller data or analysis requests.
Target · Delivers on ad-hoc data requests within 24 hours for routine tasks, 48 hours for more complex ones.

When a Business Unit leader needs a quick snapshot of a competitor's recent performance for an urgent meeting, you'll be able to pull that together and send it over within a day, not a week. We're talking about getting the core facts, not a full strategic deep dive.

Recommendation Adoption Rate (Partial)
The proportion of your specific analysis modules or sub-recommendations that are incorporated into final strategic proposals.
Target · >70% of your core analysis points or specific sub-recommendations are adopted into the final project output.

If your competitive analysis module suggests 'Competitor X is vulnerable in market Y due to Z,' we'd expect that insight to be a key part of the final strategic recommendation for market Y, rather than being ignored or significantly watered down.

Clarity of Communication
How well you distil complex information into clear, concise, and compelling messages for different audiences.
  • Your presentations are easy to understand for non-specialists. Your written reports get straight to the point. You can explain your findings simply to a busy executive without getting lost in the weeds. People don't ask 'what's the point?' after your updates.
Proactive Problem Solving
Your ability to spot potential issues in a project or analysis and propose solutions before they become major roadblocks.
  • You flag data quality issues early and suggest ways to clean it. You identify a missing piece of analysis and propose how to get it. You don't just present problems
  • you come with ideas on how to fix them. You're not waiting to be told what to do next.
Stakeholder Engagement (Informal)
How effectively you gather information and build informal relationships with colleagues across the business to get the data and context you need.
  • Colleagues in other departments are happy to help you when you reach out. You know who to talk to for specific data or insights. You're seen as someone who understands the operational realities, not just the theory. You're 'socialising' your ideas before formal meetings, as we say.
Quality of Insights
Moving beyond just presenting data to actually drawing meaningful, non-obvious conclusions that add real value.
  • Your analysis doesn't just tell us 'what happened,' but 'why it happened' and 'what we should do about it.' You connect disparate pieces of information to reveal new opportunities or risks. Your manager says, 'that's a really interesting point I hadn't considered.'

7Would you like it

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

What people enjoy
Solving Complex Puzzles

You get a real buzz from taking a huge, ambiguous business challenge and breaking it down into manageable pieces, then finding the data and insights to solve it. It's like being a detective for the business.

You're given the task to figure out 'why our market share is declining in Germany.' You'll love digging into sales data, competitor reports, and customer feedback to piece together the answer.

Making a Real Impact

You want your work to genuinely influence big decisions, not just gather dust. Seeing your analysis directly shape a new product launch or a market entry strategy is what gets you out of bed.

Your analysis on a new market opportunity leads to a significant investment decision, and you get to see the business unit start building out operations there.

Continuous Learning

You're always keen to pick up new frameworks, learn about different industries, and understand emerging technologies. The idea of staying still intellectually sounds like torture.

You'll actively seek out new courses on valuation techniques or spend your evenings reading up on AI's impact on our sector, just because you're interested.

What frustrates people
  • Your data-driven recommendation gets overruled by a senior leader's 'gut feel' or a political decision.
  • Spending 70% of your time on 'data janitorial work' because the data from different parts of the organisation is messy, incomplete, or siloed.
  • Being blamed when a strategic bet doesn't pay off, even if the failure was due to poor execution by operational teams.
  • Constantly dealing with 'boil the ocean' requests—projects whose scope is so broad they're impossible to tackle effectively.
What this role does not give you
  • Direct people management responsibilities (that comes later).
  • Full control over project implementation or execution.
  • A predictable, unchanging work routine; things shift constantly.
  • The ability to make unilateral decisions without significant stakeholder buy-in.

8Who you work with

Your work directly feeds into the strategic recommendations that go up to our C-suite and the Board. You're not just doing analysis; you're building the evidence base for our most important decisions. Your insights help us decide which new markets to enter, which products to build, and where to allocate our capital. Essentially, you're helping us make smarter bets with our resources, which means better growth and a stronger competitive position for the company.

Inside the business
  • Strategy Managers and Directors (your primary internal clients)
  • Business Unit Leaders (especially for data gathering and validation)
  • Finance Team (for financial modelling inputs and review)
  • Product Management (when assessing new market opportunities)
  • Sales Operations (for market sizing and go-to-market data)
Outside the business
  • Market research firms (when gathering external data)
  • Industry experts (for interviews and insights)
  • Potential M&A targets (during initial screening phases)

9What you need before you start

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

  • Proven experience in a highly analytical role, ideally within corporate strategy, management consulting, or investment banking.
  • Demonstrable ability to build complex financial models in Excel from scratch, not just modify existing ones.
  • Experience in conducting market research and competitive analysis, translating raw data into clear insights.
  • A track record of delivering high-quality, data-driven presentations to senior audiences.
  • Strong problem-solving skills, with a focus on structured, logical approaches.

10What to practise next

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

Advanced Excel Automation & Modelling

As our business grows, models become more complex and data volumes increase. Simply building models isn't enough; you'll need to make them more robust, auditable, and efficient. Manual processes will be replaced by smarter automation within Excel itself, or by connecting Excel to other tools.

Power Query for ETL · Basic VBA for Macros · Model Auditing & Error Checking · Dynamic Array Formulas

  • This week: Explore Power Query in Excel. Try to use it to clean a messy dataset you've recently worked with.
  • This month: Find a repetitive task you do in Excel and research if a simple VBA macro could automate it. Try building one.
  • Month 2: Review one of your existing complex models. Can you make it more robust? Can you build in more error checks?
  • Month 3: Seek out an online course or tutorial specifically on advanced Excel modelling techniques and automation.

Quick win: Start using Power Query for all your data imports and cleaning in Excel. It's a game-changer for efficiency and data integrity.

11Staying current once you are in

What people here do to keep up
  • Regularly read industry publications, business journals (e.g., Harvard Business Review, The Economist), and strategy books to stay current with trends and frameworks.
  • Attend webinars or online courses on advanced financial modelling, data visualisation, or specific industry insights.
  • Seek out informal mentorship from more senior strategists within the team or wider organisation.
  • Actively participate in internal knowledge-sharing sessions and contribute your own learnings from projects.
  • Get involved in cross-functional working groups or initiatives to broaden your understanding of different business areas.

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.

Prompt Engineering & LLM Integration (for Research)

Frankly, competitors are already using tools like ChatGPT and Claude to draft market research reports and summarise complex documents in minutes, something that used to take hours. Analysts who master this will outproduce their peers significantly. It's not just a nice-to-have anymore; it's becoming a core productivity hack.

  • Context Windows & Token Limits
  • Temperature Settings
  • RAG (Retrieval Augmented Generation)
  • Output Validation & Hallucination Detection
  • Prompt Chaining

Data Storytelling with Advanced Visualisation

It's no longer enough to just present data; you need to tell a compelling story with it. As data sets get bigger and more complex, the ability to distil insights into clear, impactful visualisations is paramount. Our leaders are busy, and they need to grasp the 'so what' in seconds, not minutes.

  • Visual Grammar & Best Practices
  • Narrative Structure in Data
  • Interactive Dashboards (Advanced)
  • Cognitive Load Reduction

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Corporate & Financial Valuation
  • Market Sizing & Opportunity Analysis
  • Competitive Strategy & War Gaming (Analysis)
  • Strategic Planning & Execution Frameworks (Support)
  • Scenario & Long-Range Planning (Modelling)
  • M&A Due Diligence & Integration (Analytical Support)

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

    Strategy Analyst (L1) at Zavmo

    1-2 years

    Skills to master

    • Mastering data collection and cleaning, building accurate basic models, creating clear slides, and understanding our internal processes. Essentially, doing the grunt work really well.

    You're ready to move on when

    • Consistently delivers error-free analysis and reports.
    • Proactively identifies opportunities to improve data quality or reporting efficiency.
    • Receives positive feedback from managers on initiative and problem-solving.
    • Can independently complete a complex analytical task from start to finish.
  2. 2

    Junior Consultant at a Management Consulting Firm

    2-3 years

    Skills to master

    • Structured problem-solving, client communication, building hypothesis-driven analyses, and working in fast-paced project teams. You'll have seen a few different industries and problem types.

    You're ready to move on when

    • Has led specific workstreams within consulting projects.
    • Can independently manage client relationships for specific deliverables.
    • Has experience presenting findings to senior client stakeholders.
    • Demonstrates strong analytical rigour and attention to detail.
  3. 3

    Investment Banking Analyst

    2-3 years

    Skills to master

    • Deep financial modelling expertise (M&A, LBO, valuation), understanding of capital markets, and working under intense pressure. You'll be a wizard with Excel.

    You're ready to move on when

    • Has built complex financial models from scratch for live deals.
    • Understands the drivers of enterprise value and shareholder returns.
    • Can articulate the strategic rationale behind M&A transactions.
    • Proven ability to work long hours and deliver high-quality output under tight deadlines.

15Where this role leads

The long view: This work can lead to leading a strategy team as a director, moving into corporate development, or becoming chief of staff to a chief executive or chief operating officer.

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 VP of Global Strategy is actually changing.

Where it leads

Roles this leads to

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

  • Specialist/Expert Strategist (Individual Contributor Path)

How you would learn this

One to one, on the work you already do

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

A lesson from Data Analytics Primer, worked against VP of Global Strategy.

Data Analytics Primer Level 4

Applied to your work in VP of Global Strategy

This unit aims to equip learners with a foundational understanding of data analytics, including its applications and the stages of the data analysis lifecycle. Learners will explore various data types and structures, understand the role of data within an organisation, and recognise the importance of GDPR and compliance requirements in data handling.

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
VP of Global Strategy
  • Corporate & Financial Valuation
  • Market Sizing & Opportunity Analysis
  • Competitive Strategy & War Gaming (Analysis)
  • Strategic Planning & Execution Frameworks (Support)
  • Scenario & Long-Range Planning (Modelling)
  • M&A Due Diligence & Integration (Analytical Support)
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

VP of Global Strategy is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Strategy Manager (L3)

    2-3 years from this role (total 5-8 years experience)

    You'll move from owning workstreams to leading entire strategic projects end-to-end. This means managing junior analysts, defining project scope, and presenting findings directly to Directors and VPs.

    • Strategic Planning Process Ownership Leading the development of annual strategic plans for specific business units.
    • Advanced Presentation & Storytelling Crafting compelling narratives for executive-level audiences, anticipating tough questions.
    • Vendor Management Managing relationships with external consultants or market research firms, including budget oversight up to £50K.

  2. Specialist/Expert Strategist (Individual Contributor Path)

    3-5 years from this role (total 5-10 years experience)

    Instead of managing people, you'll become the go-to expert in a specific strategic domain, like M&A, market entry, or digital transformation. You'll lead complex analyses and advise senior leaders without formal direct reports.

    • Advanced Scenario Modelling Building highly sophisticated models for complex, long-range strategic scenarios.
    • Expert-level Market Intelligence Developing proprietary research methodologies and insights within your specialism.
    • Strategic Tool Mastery Becoming an expert user and even architect of specific strategy tools (e.g., advanced BI platforms, strategic planning software).
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of strategy work can be manual and time-consuming. Imagine if you could cut down on the grunt work and spend more time on actual thinking and problem-solving. Well, you can. We're leaning into AI to make our team more effective, not to replace you. Think of AI as your super-smart intern who never sleeps.

In Corporate Strategy, AI isn't just a buzzword; it's a practical toolkit that's changing how we research, analyse, and communicate. We're talking about automating the tedious bits so you can focus on the 'aha!' moments. Here's how AI will genuinely make your daily life easier and more impactful.

Automated Market Intelligence Briefing

Imagine waking up to a curated 'Top 5 Strategic Insights' email every morning. We use an AI agent to scan, summarise, and categorise daily news, competitor earnings calls, and industry reports. This means you spend less time sifting through noise and more time understanding what actually matters. It's like having a dedicated research assistant who works 24/7.

Accelerated Scenario Analysis

Building complex financial scenarios in Excel can take days. We're training AI models to take our baseline financial plans and a bunch of variables (like interest rates or market growth) and instantly generate hundreds of potential outcome scenarios. This highlights key risks and opportunities far faster than you could ever do manually, letting you explore more 'what ifs'.

First-Draft Competitive Landscape

Starting a new market analysis from scratch can be daunting. You can use generative AI to create an initial draft of a competitive landscape for a new market. Prompt it to identify key players, segment them, summarise their value propositions, and list recent funding or M&A. This gives you a structured starting point, saving you hours of initial Googling and structuring.

Executive Summary & Narrative Refinement

You've just finished a 50-slide deck with tons of data. Now for the tricky bit: writing that killer one-page executive summary for the CEO. Paste your key data and conclusions into an AI model and ask it to 'Write a compelling one-page executive summary for a skeptical CEO, focusing on the 'so what' and recommended actions.' It helps you sharpen your narrative and ensure your core message is crystal clear, saving you those painful hours of wordsmithing.

Common questions

Common questions

How do you become a VP of Global Strategy?

Common routes in include Strategy Analyst at Zavmo (1-2 years), Junior Consultant at a Management Consulting Firm (2-3 years) and Investment Banking Analyst (2-3 years). Times vary with prior experience.

Where can a VP of Global Strategy progress to?

This role can lead on to Strategy Manager (2-3 years from this role (total 5-8 years experience)) and Specialist/Expert Strategist (Individual Contributor Path) (3-5 years from this role (total 5-10 years experience)), depending on the skills you build.

What new skills matter most for a VP of Global Strategy?

Increasingly, Prompt Engineering & LLM Integration (for Research) and Data Storytelling with Advanced Visualisation. These are the skills our record of this role lists as growing.

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17Where to go from here

Other roles at Level 3

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

 More jobs in corporate strategy

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

The skills built here, structured problem-solving, financial modelling, market analysis, and influencing senior leaders, transfer well. They can lead to roles in private equity, venture capital, corporate strategy in other industries, or running a business.

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 VP of Global Strategy 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.