UK

United Kingdom · Corporate strategy · Lead (8-12 years)

Lead Global Market Intelligence Strategist

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 bandLead (8-12 years)
  • Direct reports3-5 reports
  • Reports toGlobal Market Intelligence Manager
  • UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Principal Market Analyst · Senior Competitive Intelligence Lead · Strategy Insights Lead

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

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

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

The units you would start with

Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data-led Decision Making Level 6 Award in Data-led Decision Making
Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England

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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Built for Lead Global Market Intelligence Strategist

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

  1. Introduction to Data Science and Big Data NCC Education Limited · covers 1 of 2 standards Level 5
  2. Data-led Decision Making Institute of Sales Professionals · covers 1 of 2 standards Level 6
  3. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 2 standards Level 5
  4. Data Analytics Pearson Education Ltd · covers 1 of 2 standards Level 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Lead Global Market Intelligence Strategist?

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
  • Ethical AI & Data Governance for Intelligence
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 Lead Global Market Intelligence Strategist plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

This job is about shaping how a market and its competitors are understood. It means building the framework for gathering, analysing and using market intelligence to guide strategic decisions. The work involves deciding what questions should be asked. It also means making sure the right information reaches the right people at the right time.

4What you'd actually use

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

Bloomberg Terminal / Refinitiv Eikon / S&P Capital IQ Expert

Building custom screens to identify emerging companies, conducting deep-dive financial analysis on public competitors, extracting non-obvious data sets for market sizing, and teaching junior analysts advanced functions.

Crayon / Kompyte / SEMrush / Similarweb Advanced

Configuring new competitors, designing custom battlecard templates, integrating platform data into broader market narratives, and training sales/product teams on how to use these tools effectively.

Excel (Power Query, XLOOKUP, Pivot Tables, VBA) Expert

Building sophisticated market models, automating data cleaning and transformation processes, creating complex financial projections, and acting as the go-to person for advanced Excel challenges.

SQL (PostgreSQL, Snowflake) Advanced

Writing complex queries to extract and join data from various internal databases, optimising existing queries for performance, and building data pipelines for market intelligence programmes.

Python (pandas, Matplotlib, scikit-learn) Advanced

Automating data collection and cleaning, performing advanced statistical analysis, building predictive models for market forecasting, and creating custom data visualisations.

Tableau / Power BI Advanced

Designing and building complex, interactive dashboards from scratch, connecting multiple data sources, using advanced features (LOD expressions, DAX) to present strategic insights, and setting dashboard standards for the team.

Qualtrics / SurveyMonkey / GLG / AlphaSights Expert

Designing complex survey logic (e.g., conjoint analysis), drafting effective screening questions for expert networks, leading expert interviews to extract key insights, and managing vendor relationships and budgets for primary research.

Confluence / Notion / MS Teams Expert

Designing and architecting the market intelligence knowledge base, establishing tagging systems and best practices for insight sharing, and championing a culture of knowledge management across the strategy function.

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
Research Methodology Selection Proposes options to supervisor for review and approval. Selects standard methodologies, consults manager on novel approaches. Makes technical decisions within project scope, consults manager on significant deviations.
External Vendor Engagement (e.g., expert networks, research firms) Assists in scheduling calls, processes invoices under supervision. Initiates engagement for specific tasks within pre-approved budget, informs manager. Manages vendor relationships for specific projects, approves spend up to £5K.
Hiring Junior Analysts No involvement. Participates in interview panels, provides feedback. Conducts technical interviews, provides strong recommendations.
Strategic Recommendation Formulation Contributes data and initial thoughts to supervisor's recommendations. Formulates recommendations for routine issues, presents to manager. Develops and presents recommendations for complex projects to project leads and Director.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Strategic Project Influence
Number of strategic initiatives or decisions directly informed by your intelligence programmes.
Target · 3-5 major decisions per year

Your Win/Loss programme identifies a critical product gap, leading to a £2M investment in a new feature. Or your market sizing work directly influences the decision to enter a new regional market.

Competitive Programme Adoption Rate
Percentage of sales and product teams actively using the competitive battlecards and intelligence updates you've designed.
Target · >75% active users

After launching a new battlecard system, 80% of sales reps report using it in at least one deal per month, and product managers reference it in their roadmap reviews.

Intelligence Programme ROI
Demonstrable return on investment for the market intelligence programmes you own (e.g., cost savings from better vendor negotiation, revenue uplift from identified opportunities).
Target · 3x spend on programme

Your primary research programme, costing £100K, identifies a new market segment worth £300K in incremental revenue over 12 months.

Team Mentorship & Development
Number of junior analysts you've directly mentored who show measurable improvement in their analytical skills and project ownership.
Target · At least 2 mentees achieve expanded responsibilities or promotion readiness annually

One of your L1 analysts, after 6 months of your guidance, is now independently running quarterly competitor earnings summaries, something they couldn't do before.

Stakeholder Trust & Proactive Engagement
How often senior leaders proactively seek your input on strategic questions, rather than you having to push your insights.
  • You're regularly invited to early-stage strategic planning meetings
  • leaders directly ask for your perspective before making big calls
  • your insights are cited in executive presentations without prompting.
Clarity & Actionability of Insights
The degree to which your market intelligence programmes produce insights that are easy to understand, well-supported, and directly lead to specific actions.
  • Feedback from leadership consistently highlights the clarity and conciseness of your deliverables
  • your recommendations are frequently adopted
  • your team's work is seen as a 'go-to' source for market truth.
Strategic Foresight
Your ability to identify emerging market trends, competitive threats, or opportunities before they become obvious to everyone else.
  • You've flagged a significant market shift 6-12 months before it hit the mainstream news
  • your team's 'early warning' reports are consistently accurate
  • you're seen as the person who 'sees around corners'.

7Would you like it

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

What people enjoy
Solving Complex Puzzles

You'll spend your days piecing together fragmented information from various sources to form a coherent market picture. It's like being a detective, but for business strategy.

You're given a vague question about a new market and have to figure out how big it is, who the players are, and how we might win there, starting from almost nothing.

Direct Impact on Strategic Decisions

Your analysis won't just sit in a report; it'll directly inform where we invest, what products we build, and how we position ourselves against competitors. You'll see your work come to life.

Presenting your competitive analysis to the executive team, and then seeing them adjust the company's Q4 strategy based on your recommendations.

Continuous Learning & Market Immersion

You'll be constantly learning about new industries, technologies, and business models. The market never stands still, so neither will your knowledge. It's a role for the perpetually curious.

Spending a week deep-diving into the latest trends in quantum computing or sustainable finance because it might impact our long-term strategy.

What frustrates people
  • The 'Drive-by' Request: Getting an urgent, ill-defined request from an executive at 4 PM that needs a week of work but is 'needed by tomorrow morning.'
  • Confirmation Bias as a Service: Being asked to 'find the data' to support a decision that has already been made, rather than objectively informing it.
  • Death by a Thousand Contradictions: Trying to build a coherent market view when primary data, secondary reports (Gartner vs. Forrester), and internal sales data all tell different stories.
  • The 'So What?' Deflator: Spending weeks on deep-dive analysis only to present it to a leadership team that listens politely and then asks, 'Great, but so what does this mean for us this quarter?'
  • The Sales Team Stare-Down: Presenting carefully researched competitive intelligence, only to be told by a top salesperson, 'That's not what I'm seeing on the street.'
  • Budgetary Whiplash: Your essential (and expensive) data terminal subscriptions are often seen as a luxury and are first on the chopping block during budget cuts.
What this role does not give you
  • A predictable, routine work schedule with minimal urgent requests.
  • A role where every piece of analysis you produce directly leads to an immediate, tangible business change.
  • An environment free from internal politics or conflicting stakeholder agendas.
  • A job where you're always the 'expert' and never challenged on your findings.

8Who you work with

This role is absolutely critical for our strategic planning cycle. Your work directly informs our annual business strategy, product roadmaps, go-to-market plans, and even potential M&A targets. Basically, you're giving the leadership team the intel they need to win. Get it right, and we grow faster; get it wrong, and we could be making decisions in the dark.

Inside the business
  • Global Market Intelligence Manager
  • Head of Corporate Strategy
  • Product Leadership
  • Sales Leadership
  • Finance Leadership
  • Regional Business Unit Heads
Outside the business
  • Market Research Vendors
  • Expert Network Firms (e.g., GLG, AlphaSights)
  • Industry Analysts (e.g., Gartner, Forrester)
  • Technology Partners

9What you need before you start

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

  • Proven experience (8+ years) in a dedicated market intelligence, competitive intelligence, or strategic consulting role, ideally within the technology or financial services sector.
  • Demonstrable experience in designing and leading complex research projects from end-to-end, including primary and secondary research.
  • A strong portfolio or examples of market analysis, competitive battlecards, or strategic recommendations that have influenced business decisions.
  • Advanced proficiency in at least one financial data terminal (Bloomberg, Refinitiv Eikon, S&P Capital IQ) and strong skills in Excel, SQL, and a data visualisation tool (Tableau/Power BI).
  • Experience in mentoring junior analysts or leading project teams without direct reporting lines.
  • A degree in Business, Economics, Finance, Data Science, or a related quantitative field (or equivalent practical experience).

10What to practise next

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

Advanced Data Engineering for MI

Important within 12-18 months. As our data sources multiply and the need for real-time insights grows, you'll need to understand how to build more robust and automated data pipelines. This means less manual data wrangling and more focus on strategic analysis.

API integration for external data sources · Cloud data warehousing (e.g., Snowflake, Databricks) · ETL/ELT pipeline design · Data governance and quality assurance

  • This quarter: Take an online course on data warehousing fundamentals (e.g., a Snowflake certification prep course).
  • Next quarter: Identify one manual data collection process in our current workflow and propose an API-driven automation solution.
  • Month 6: Collaborate with our data engineering team to understand their architecture and how MI data can be better integrated.
  • Month 9: Start prototyping a small, automated data pipeline for a specific market intelligence feed using Python.

Quick win: Document our current manual data processes in detail. Identify the top 3 most time-consuming data collection tasks and start researching potential automation tools or APIs.

Basic Machine Learning for Predictive Analytics

Important within 18-24 months. Moving beyond descriptive and diagnostic analysis, we'll increasingly want to predict future market shifts, competitor moves, or customer behaviour. Even a basic understanding of ML will help you interpret models and identify opportunities.

Regression and classification models · Time series forecasting · Feature engineering · Model evaluation metrics

  • This quarter: Complete an introductory online course on machine learning fundamentals (e.g., Coursera's Machine Learning by Andrew Ng).
  • Next quarter: Experiment with building a simple time series forecast for a market trend using Python's `statsmodels` or `Prophet` library.
  • Month 6: Collaborate with our data science team to understand how they build and deploy predictive models, and how MI data can feed into them.
  • Month 9: Propose one area where a basic predictive model could add value to our market intelligence (e.g., predicting competitor pricing changes).

Quick win: Read articles on how other companies are using ML for market intelligence. Identify a simple, publicly available dataset and try to build a basic predictive model using Excel's forecasting functions or a simple Python script.

11Staying current once you are in

What people here do to keep up
  • Regularly attend industry conferences (e.g., SCIP International Conference, Gartner Symposium) to stay abreast of market trends and intelligence best practices.
  • Participate in online courses or workshops on advanced data analysis, machine learning fundamentals, or strategic planning.
  • Network with peers in other companies' market intelligence functions to share insights and learn from their approaches.
  • Read widely across business strategy, economics, and technology publications (e.g., Harvard Business Review, The Economist, TechCrunch).

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

Critical within 6 months—this is already happening, not future. Competitors are using tools like Claude and ChatGPT to draft reports in 10 minutes that used to take 2 hours. Analysts who figure this out will outproduce peers 3:1, allowing us to generate more insights, faster.

  • Context windows and token limits
  • Temperature settings for different tasks
  • RAG (Retrieval Augmented Generation) architectures
  • Output validation and hallucination detection
  • Prompt chaining for complex analysis

Ethical AI & Data Governance for Intelligence

Important within 12 months. As we use more AI to collect and analyse data, the ethical and legal implications become more complex. We need to ensure our intelligence gathering is always compliant and responsible, protecting both our company and our customers.

  • Bias detection in AI-generated insights
  • Data privacy in automated scraping
  • Transparency and explainability of AI outputs
  • IP and copyright implications of generative AI
  • Responsible use policies for AI tools

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • TAM/SAM/SOM Analysis (Advanced)
  • Competitive Benchmarking & War Gaming (Expert)
  • Win/Loss Analysis Programme Design (Advanced)
  • Scenario & Sensitivity Analysis (Advanced)
  • Primary Research Design & Execution (Expert)
  • Strategic Framework Application (Expert)

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

    Senior Market Intelligence Analyst (L3) Internal Promotion

    2-4 years as an L3

    Skills to master

    • Mastering end-to-end project management for complex research, mentoring junior colleagues, and consistently delivering high-quality, actionable insights to project leads. You'll need to show you can take full ownership of a workstream and influence without direct authority.

    You're ready to move on when

    • You've successfully led at least 3-4 major, cross-functional intelligence projects.
    • You're the 'go-to' person for a specific market segment or competitor.
    • You've consistently mentored 1-2 junior analysts, helping them grow their skills.
    • Senior leaders (Director level) are starting to seek your direct input on specific topics.
  2. 2

    Strategic Consultant (from external firm)

    5-8 years in a top-tier consulting firm (e.g., McKinsey, Bain, BCG)

    Skills to master

    • Translating consulting frameworks into practical, in-house intelligence programmes. Adapting to a single-company focus rather than project-based work. Building deep internal relationships and influencing without the 'consultant' title.

    You're ready to move on when

    • You've led strategic projects for multiple clients, with a focus on market entry, competitive strategy, or commercial due diligence.
    • You're comfortable with ambiguity and can quickly get up to speed on new industries.
    • You're looking to build something long-term within one organisation.
  3. 3

    Senior Product Marketing Manager / Product Strategist

    7-10 years in product marketing or product strategy roles, with a strong analytical bent

    Skills to master

    • Deepening your analytical rigour and moving from product-specific insights to broader market and competitive strategy. Learning to design and run formal intelligence programmes rather than ad-hoc research for a product launch.

    You're ready to move on when

    • You've consistently conducted market and competitive analysis to inform product roadmaps.
    • You have a strong understanding of go-to-market strategies and customer segmentation.
    • You're looking to specialise in the 'intelligence' aspect of strategy rather than product execution.

15Where this role leads

The long view: This work can lead to director or VP roles in strategy and intelligence, or into leading product strategy across a wider portfolio.

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 Lead Global Market Intelligence Strategist is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

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

A lesson from Introduction to Data Science and Big Data, worked against Lead Global Market Intelligence Strategist.

Introduction to Data Science and Big Data Level 5

Applied to your work in Lead Global Market Intelligence Strategist

The objective of this unit is to provide learners with a systematic understanding of Data Science and Big Data concepts, including their characteristics and applications. Learners will develop proficiency in data collection, design, and modelling techniques, and will be able to select appropriate tools for data pre-processing and apply analytical techniques to generate insights from data.

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
Lead Global Market Intelligence Strategist
  • TAM/SAM/SOM Analysis (Advanced)
  • Competitive Benchmarking & War Gaming (Expert)
  • Win/Loss Analysis Programme Design (Advanced)
  • Scenario & Sensitivity Analysis (Advanced)
  • Primary Research Design & Execution (Expert)
  • Strategic Framework Application (Expert)
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

Lead Global Market Intelligence Strategist is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Global Market Intelligence Manager (L5)

    3-5 years as a Lead Strategist

    This is a significant step into formal people management and functional leadership. You'll move from architecting programmes to directing an entire team and owning the overall intelligence agenda.

    • Strategic Planning Integration Ensuring market intelligence is deeply embedded into the company's annual strategic planning cycle.
    • Vendor Strategy & Negotiation Managing relationships and contracts with all external research vendors and expert networks.
    • Cross-Functional Strategy Leadership Leading strategic initiatives that span multiple departments, using intelligence to drive alignment.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, market intelligence can be a grind. Sifting through mountains of data, summarising lengthy reports, and trying to spot the signal from the noise takes ages. But what if you could offload the tedious bits to AI and focus on the really strategic stuff? That's exactly what we're doing here.

We're not just talking about using ChatGPT for a quick email. We're integrating AI tools directly into our workflow to automate the mundane, accelerate our analysis, and give you back valuable time. Imagine spending less time on data collection and more time on actual strategic thinking.

Automated Competitor Monitoring

Use AI agents to constantly scrape, summarise, and categorise competitor news, press releases, earnings call transcripts, and regulatory filings. The AI flags significant events and provides you with a daily summary brief, so you don't miss a thing. Think of it as having a tireless research assistant.

Accelerated Thematic Analysis

Got thousands of customer reviews, survey responses, or social media comments? Feed them into an NLP model to instantly identify key themes, sentiment drivers, and emerging product complaints or requests. This cuts down weeks of manual tagging into minutes, letting you get to the 'so what?' much faster.

First-Draft Generation

Use a generative AI assistant (like Claude or ChatGPT) with specific prompts and source documents to create the initial draft of a competitor profile, market overview, or trend report. You'll then refine and validate it, but the heavy lifting of getting words on a page is already done. It's like having a ghostwriter for your reports.

Executive Summary Synthesizer

After you've done all the detailed analysis, use AI to generate multiple versions of an executive summary tailored to different audiences. Need a short, punchy version for the CEO? Or a more detailed one for the Head of Product? AI can whip them up in minutes, saving you that last-minute scramble.

Common questions

Common questions

How do you become a Lead Global Market Intelligence Strategist?

Common routes in include Senior Market Intelligence Analyst Internal Promotion (2-4 years as an L3), Strategic Consultant (from external firm) (5-8 years in a top-tier consulting firm (e.g., McKinsey, Bain, BCG)) and Senior Product Marketing Manager / Product Strategist (7-10 years in product marketing or product strategy roles, with a strong analytical bent). Times vary with prior experience.

Where can a Lead Global Market Intelligence Strategist progress to?

This role can lead on to Global Market Intelligence Manager (3-5 years as a Lead Strategist), depending on the skills you build.

What new skills matter most for a Lead Global Market Intelligence Strategist?

Increasingly, Prompt Engineering & LLM Integration and Ethical AI & Data Governance for Intelligence. These are the skills our record of this role lists as growing.

Free tools

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17Where to go from here

Other roles at Level 5

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 in this role carry across sectors. They can apply to strategic roles in other technology companies, fintech firms, management consulting, or venture capital and private equity, anywhere that market understanding shapes decisions.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.