United Kingdom · Marketing · Lead (8-12 years)

Lead Marketing Research Manager

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 reports3-8 reports
Reports toMarketing Research Manager
UK framework levelUsually a manager, or the deepest specialist in a team

Also advertised as Research Strategist · Principal Marketing Analyst · Senior Insights Consultant

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

AIM Qualifications Level 2 Certificate in Employability and Development Skills AIM Qualifications · Level 2 · covers 3 of 10 standards

AIM Qualifications Level 2 Award in Employability and Development Skills AIM Qualifications · Level 2 · covers 2 of 10 standards

Qualifi Level 5 Extended Diploma in Strategic Business Management Qualifi Ltd · Level 5 · covers 2 of 10 standards

Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 1 of 10 standards

Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 1 of 10 standards

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 1 of 10 standards

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

The units you would start with

Marketing Research AIM Qualifications Level 2 Certificate in Employability and Development Skills

Data Analytics Pearson BTEC Level 5 Higher National Diploma 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

Start my Lead Marketing Research Manager plan, free

Your Plan Illustration

Built for Lead Marketing Research Manager

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

Marketing Research AIM Qualifications · covers 3 of 10 standards Level 2
Data Analytics Pearson Education Ltd · covers 1 of 10 standards Level 5
Data Analysis and Visualisation OTHM Qualifications · covers 1 of 10 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 Lead Marketing Research Manager?

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
Advanced Causal Inference & Experimentation Design

Why each one is rising

The future skills this job leans on

AI Fluencyworking with AI as a thinking partner
Data Fluencyturning numbers into a decision
Systems Fluencyseeing the whole picture

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 Marketing Research Manager 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 Lead Marketing Research Manager shapes the research agenda for a part of a business. The work involves guiding a small team, deciding what questions need answers, and linking strategic goals with detailed consumer research.

4What you'd actually use

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

Qualtrics (or similar enterprise survey platform) Expert

Designing and deploying complex, multi-language surveys with advanced logic, managing panel integrations, setting up sophisticated quotas, and troubleshooting intricate survey flows for strategic programmes.

R / Python (with pandas, NumPy, scikit-learn, ggplot2/matplotlib) Advanced

Writing original scripts for advanced statistical analyses (e.g., regression, cluster analysis, conjoint), building predictive models, automating data cleaning and transformation, and creating custom data visualisations. You're teaching others how to do this.

Tableau / Power BI (or similar data visualisation tool) Expert

Building complex, interactive dashboards that tell a clear, strategic story for executive audiences. This includes using advanced features like calculated fields, parameters, and data blending to enable self-service insights and monitor key programme metrics.

NVivo / Dovetail (or similar qualitative analysis software) Advanced

Developing robust coding frameworks from scratch, performing in-depth thematic analysis on large volumes of qualitative data (verbatims, interview transcripts), identifying emergent themes, and synthesising findings for strategic reports.

SQL (e.g., Google BigQuery, Snowflake) Advanced

Writing complex SQL queries with multiple joins, subqueries, and window functions to blend survey data with behavioural data from our data warehouse, creating custom datasets for advanced analysis and modelling. You're defining data requirements.

Asana / Jira (or similar project management tool) Expert

Owning and managing entire research programme timelines, including cross-functional dependencies, resource allocation for your team, and tracking progress against strategic milestones. You're implementing best practices for project delivery.

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 choice	Coming in	Where you are now	The step above
Research Programme Design	Proposes minor adjustments to existing survey questions under supervision.	Designs standard survey questionnaires and analysis plans for routine projects, with manager review.	Designs complex, multi-stage research projects (e.g., segmentation, conjoint studies), consulting with Director on strategic fit.
Budget Allocation & Vendor Selection	Assists with gathering quotes from pre-approved vendors for small tasks.	Recommends specific vendors for individual projects based on scope, with manager approval for spend over £5K.	Manages project budgets up to £50K, selects vendors from approved list, negotiates small contracts with Director input.
Team Management & Development	No direct reports. Focuses on personal learning and task execution.	Informally mentors new joiners, shares knowledge.	Mentors 0-2 junior analysts, provides technical guidance and code reviews.
Strategic Recommendations	Summarises data findings for inclusion in reports.	Proposes insights and tactical recommendations for specific projects, reviewed by manager.	Develops comprehensive insights and strategic recommendations for workstreams, presenting to cross-functional leads with Director input.

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.

Research Programme Adoption Rate

Percentage of key strategic research recommendations formally adopted or acted upon by stakeholders.

Target · >75% of strategic recommendations adopted within 6 months

Your segmentation study recommended targeting a new demographic; Marketing launched a pilot campaign for that segment, leading to a 15% increase in engagement. That counts as adoption.

Strategic Project On-Time & On-Budget Delivery

Completion rate of complex, multi-stage research programmes (e.g., segmentation, brand health trackers) within agreed timelines and budget.

Target · 90% of strategic projects delivered on time and within ±5% of budget

You managed a £150K product concept test programme that involved 3 stages, 2 agencies, and 4 weeks of fieldwork. Delivering it in 10 weeks instead of 12, and £5K under budget, would be a win.

Team Development & Mentorship Impact

Growth and skill development of your direct reports, measured by their ability to take on more complex tasks and lead smaller projects independently.

Target · At least 2 direct reports 'ready for promotion' or taking on significant independent work within 18 months

One of your junior analysts, after 12 months under your guidance, can now independently design and execute a basic brand perception study without needing constant oversight.

Research Quality & Rigour Score

Internal audit score reflecting methodological soundness, data integrity, and statistical validity of key research outputs.

Target · Average score of >4.0 out of 5.0 on internal quality audits

A peer review of your latest market entry study confirms the sampling methodology was robust, the questionnaire unbiased, and the analysis statistically appropriate, earning a 4.5/5.0 score.

Strategic Influence & Proactive Contribution

Your ability to proactively identify key business questions, propose relevant research, and influence the overall marketing strategy with insights.

Evidence: Invited to early-stage strategic planning meetings
frequently consulted by Marketing Director or Product Leads for input before decisions are made
regular proactive proposals for new research initiatives
your insights are referenced in leadership presentations.

Clarity & Impact of Storytelling

The effectiveness of your presentations and reports in translating complex data into clear, compelling, and actionable narratives for diverse audiences, especially senior leadership.

Evidence: Stakeholders consistently comment on the clarity and conciseness of your 'decks'
senior leaders can easily summarise your key findings and recommendations
your presentations lead to clear next steps or changes in strategy
you use analogies that resonate with non-technical audiences.

Supplier & Budget Management Effectiveness

Your skill in selecting, managing, and getting the best value from external research agencies, ensuring they deliver high-quality work within agreed parameters.

Evidence: Positive feedback from agencies on clarity of briefs
consistent delivery of agency work on time and within budget
successful negotiation of favourable terms
proactive identification of cost-saving opportunities without compromising quality
agencies see you as a fair but firm partner.

Mentorship & Team Leadership Quality

How effectively you guide, develop, and empower your direct reports, fostering a positive and high-performing team environment.

Evidence: Positive feedback from direct reports (e.g., in engagement surveys or 1:1s)
demonstrable growth in your team members' skills and confidence
successful delegation of increasingly complex tasks
your team feels supported and challenged
you're seen as a fair and knowledgeable leader.

7Would you like it

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

What people enjoy

Influencing Strategic Decisions

You'll feel most energised when your research findings are directly referenced in a leadership meeting, leading to a tangible change in marketing strategy or product direction. Seeing your insights move the needle on a big business problem is what gets you up in the morning.

Example: The Marketing Director decides to pivot the entire Q3 campaign message based on your latest brand perception study, and you know it's because of the clear story you told.

Solving Complex Puzzles

You love tackling ambiguous business questions that don't have easy answers. The messier the data, the more challenging the problem, the more engaged you are. You enjoy the process of dissecting a problem, designing the perfect research approach, and piecing together the solution.

Example: Being asked to figure out why a new product launch underperformed, requiring you to combine sales data, survey feedback, and competitive intelligence to find the root cause.

Developing Others

You get a real kick out of seeing your direct reports grow and succeed. Mentoring junior analysts, helping them unstick a tricky analysis, or watching them deliver a confident presentation—these moments are genuinely rewarding for you.

Example: A junior analyst you've been coaching delivers their first independent presentation to a stakeholder, and you see how far they've come under your guidance.

What frustrates people

The 'CRAP' Request: Dealing with the 'Confirmational Research to Approve a Project' request, where stakeholders have already made a decision and just want data to justify it, making your rigorous work feel like a rubber stamp.
Sample Quality Nightmare: Constantly battling professional survey-takers, bots, and inattentive respondents from panel providers, which threatens data integrity and requires constant vigilance.
The 'So What?' Question: Presenting a statistically robust and fascinating finding to a senior leader, only to have them blankly ask, 'So what do we do with this?', highlighting a gap in your narrative or their understanding.
Scope Creep & Moving Targets: The product team changes key features halfway through a concept test, or the marketing team pivots their strategy mid-campaign, invalidating the first half of the data collected and forcing costly re-work.
Anecdote vs. Data: The endless war with the sales team, whose experience with three customers is given equal or greater weight than your nationally representative sample of 1,000, making it hard to get your point across.
The Budget Squeeze: Fighting for a £50K foundational segmentation study when performance marketing can show a direct ROI on the same ad spend, making it tough to justify strategic, long-term research.
Being the Bearer of Bad News: Having to tell the VP of Product or the Marketing Director that their 'brilliant' new feature idea or campaign concept tested poorly with actual customers, and then dealing with the fallout.

What this role does not give you

A predictable, unchanging routine: Expect frequent shifts in priorities and project scope.
Guaranteed immediate implementation of every insight: Some insights, however brilliant, won't be acted upon for various reasons.
Total autonomy on strategic direction: You'll influence, but ultimate strategic decisions rest with senior leadership.
A purely individual contributor role: You'll be leading a team and managing external relationships, which means a lot of collaboration and people management.

8Who you work with

This role directly impacts the quality and strategic relevance of our consumer insights. Your work will shape our understanding of customer needs, market trends, and competitive landscapes, driving decisions on product roadmaps, campaign messaging, and overall brand positioning. You'll be the go-to expert for deep customer understanding within your assigned business unit or product area, influencing investment decisions and helping us stay ahead of the curve.

Inside the business

Marketing Director
Product Leads (specific product lines)
Brand Managers
Sales Leadership
Data & Analytics Team

Outside the business

External Research Agencies
Online Panel Providers
Data Vendors (e.g., syndicated data providers)

9What you need before you start

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

A minimum of 8 years of hands-on experience in marketing research, with at least 3-4 years in a senior or lead capacity, managing complex projects or programmes.
Demonstrable experience leading and mentoring junior analysts, including providing technical guidance and performance feedback.
Proven track record of designing, executing, and delivering strategic research programmes that have directly influenced business decisions (e.g., segmentation, brand strategy).
Expert-level proficiency in at least one major statistical software package (R or Python) and an enterprise survey platform (e.g., Qualtrics).
Strong portfolio of presentations and reports demonstrating exceptional storytelling with data for senior audiences.
Experience managing external research agencies and budgets (ideally £50K+ per project).

10What to practise next

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

Advanced Data Architecture & Integration (SQL/Python)

Strategic research increasingly requires blending survey data with vast amounts of behavioural, transactional, and external data. This means you need to understand data warehousing, ETL processes, and how to architect data for efficient analysis.

Data Lake/Warehouse Concepts · ETL/ELT Pipelines · API Integration for Data Collection · Data Governance & Quality

This month: Schedule a deep dive with our Data Engineering team to understand our data architecture.
Month 2: Propose and build one automated data pipeline (using Python) to combine a new data source with existing research data.
Month 3: Lead a project to standardise data definitions and quality checks for key marketing metrics.
Month 4: Explore cloud data platforms (e.g., GCP, AWS) and their capabilities for advanced analytics.

Quick win: Identify one manual data pull you currently do and automate it using a simple Python script. Start documenting data sources and their limitations for your team.

Ethical AI & Bias Detection in Research

As we use more AI in research, particularly for qualitative analysis or predictive modelling, the risk of embedding and amplifying biases increases. Understanding these risks and how to mitigate them is paramount for maintaining ethical standards and trust.

Algorithmic Bias in LLMs · Fairness Metrics in Machine Learning · Privacy-Preserving AI Techniques · Transparency & Explainability (XAI)

This month: Read up on recent cases of AI bias in marketing or research contexts.
Month 2: Evaluate one of our existing AI tools (or an LLM you're using) for potential biases in its output.
Month 3: Develop a set of ethical guidelines for your team's use of AI in research, including validation steps.
Month 4: Present your findings and recommendations on ethical AI to the wider Marketing team.

Quick win: For any AI-generated summary or insight, always ask: 'Who might this be biased against? What assumptions is the AI making?' Encourage your team to do the same.

11Staying current once you are in

What people here do to keep up

Regularly attend industry conferences (e.g., MRS Impact, ESOMAR Congress) to stay abreast of emerging trends and network with peers.
Actively participate in online communities or forums dedicated to advanced analytics, data science, or market research methodologies.
Undertake continuous learning through online courses (e.g., Coursera, edX) in areas like causal inference, machine learning, or behavioural economics.
Contribute to internal knowledge sharing sessions, presenting new methodologies or tools you've explored to your team and the wider Marketing department.
Seek out opportunities to mentor junior colleagues, as teaching is often the best way to solidify your own understanding.

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

Essential for future readiness in this role.

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

Advanced Causal Inference & Experimentation Design

Essential for future readiness in this role.

Randomised Control Trials (RCTs) and A/B Testing b
Quasi-experimental designs (e.g., Difference-in-Di
Propensity Score Matching (PSM) for observational
Instrumental Variables and Two-Stage Least Squares
Bayesian inference for smaller sample sizes and pr

13What you’ll use

What you’ll use

Skills this role draws on

Technical

Survey Design & Methodology
Conjoint & MaxDiff Analysis
Advanced Quantitative Analysis
Qualitative Research Methods
Storytelling with Data
Supplier & Budget Management

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
Senior Marketing Research Analyst (L3)
3-5 years
Skills to master
- Mastering complex project management, leading multi-stage research, mentoring junior analysts, and consistently delivering high-quality, actionable insights for specific workstreams.
You're ready to move on when
- Consistently delivers complex projects on time and budget with minimal oversight.
- Proactively identifies and solves methodological challenges.
- Receives positive feedback on mentorship and guidance provided to junior colleagues.
- Begins to present findings and recommendations directly to cross-functional leads.
2
Research Consultant (from agency side)
5-8 years
Skills to master
- Adapting agency-side client management and project delivery skills to an in-house context, understanding internal stakeholder dynamics, and building strong cross-functional relationships. You'll need to learn our specific business context quickly.
You're ready to move on when
- Demonstrates strong commercial acumen and understanding of diverse business challenges.
- Has a track record of managing multiple client projects simultaneously.
- Can quickly translate external client needs into robust research designs.
- Shows a keen interest in moving to an in-house role to drive deeper impact.
3
Product Marketing Analyst / Data Analyst (with research focus)
4-7 years
Skills to master
- Deepening understanding of core marketing research methodologies, moving beyond purely behavioural data to understanding 'why' through surveys and qualitative methods. Developing strong storytelling skills for strategic insights.
You're ready to move on when
- Consistently delivers high-quality analytical insights from product or marketing data.
- Shows a clear interest in understanding customer motivations and perceptions beyond behaviour.
- Has some exposure to survey design or qualitative data analysis.
- Seeks out opportunities to combine quantitative and qualitative data for richer insights.

15Where this role leads

The long view: This work can lead to directing consumer insights for a whole business unit, or into wider marketing leadership roles such as Chief Marketing 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 Lead Marketing Research Manager is actually changing.

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 Marketing Research, worked against Lead Marketing Research Manager.

Marketing Research Level 2

Applied to your work in Lead Marketing Research Manager

The objective of this unit is to provide learners with an understanding of the role and methodologies of marketing research within organisations. Learners will know how to gather relevant data using primary research methods, analyse marketing research information to identify trends and insights, and present findings clearly and effectively. Upon completion, learners will understand the importance of marketing research for decision-making.

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.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my Lead Marketing Research Manager plan, free

See Your Progress Grow Illustration

Lead Marketing Research Manager

Survey Design & Methodology
Conjoint & MaxDiff Analysis
Advanced Quantitative Analysis
Qualitative Research Methods
Storytelling with Data
Supplier & Budget Management

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 Marketing Research Manager is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Marketing Research Manager (L5)
3-5 years

This is a significant step up, moving from leading programmes to leading people and an entire function. You'll be accountable for the overall strategic direction and impact of the entire Marketing Research team.
- Research Strategy Definition Setting the overarching vision and strategic priorities for the entire Marketing Research function.
- Vendor Ecosystem Management Strategic partnerships with multiple agencies, defining preferred supplier lists, and driving innovation through external partners.
- Cross-Departmental Integration Ensuring research insights are seamlessly integrated across Marketing, Product, Sales, and other key business units.
- Innovation & Future-Proofing Identifying and implementing cutting-edge research technologies and methodologies to maintain a competitive edge.
Principal Research Strategist (Individual Contributor Path)
3-5 years

This is a deep specialisation path, focusing on becoming the absolute expert in complex methodologies or a specific domain, without the direct people management responsibilities.
- Cutting-Edge Methodologies Mastery of highly specialised techniques (e.g., neuroscience in marketing, advanced econometrics, complex simulation models).
- Deep Domain Expertise Becoming the ultimate expert in a specific market, customer segment, or product category, driving all insights in that area.
- Research Automation & AI Development Leading the integration of advanced AI/ML models into research processes, potentially building custom tools.
- Academic/Industry Partnerships Collaborating with universities or industry bodies on research initiatives, bringing external innovation in-house.

Working with AI on the job

Working with AI

Where AI is starting to help

Imagine having a personal research assistant that handles the grunt work, freeing you up to focus on the 'big picture' strategic thinking. That's what AI can do for a Lead Marketing Research Manager. We're not talking about replacing your brain; we're talking about augmenting it, letting you move faster and dig deeper than ever before.

As a Lead Marketing Research Manager, you're juggling complex programmes, managing a team, and trying to find the needle-in-a-haystack insights that truly matter. AI tools are here to take the heavy lifting out of data processing, report drafting, and even initial analysis, giving you back precious hours. This means more time for strategic planning, mentoring your team, and having those high-impact conversations with senior leadership.

Verbatim Summariser & Theme Extractor

Use AI to instantly analyse thousands of open-ended survey responses ('verbatims'), identifying key themes, sentiment, and illustrative quotes at lightning speed. This automates one of the most tedious and time-consuming manual parts of qualitative analysis, letting you get to the 'so what' much faster. Imagine feeding in 5,000 comments and getting a structured summary in minutes.

Insight Pattern-Finder & Hypothesis Generator

Feed large, complex datasets (e.g., survey results joined with CRM data or web analytics) into an AI model to uncover non-obvious correlations, predictive segments, and emerging trends that would be missed by manual cross-tab analysis. AI can help you generate new hypotheses to test, pushing your strategic thinking beyond conventional wisdom.

Strategic Survey Draft Generator

Provide AI with a high-level research brief (objectives, target audience, key business questions), and have it generate a first draft of a comprehensive survey questionnaire. This includes properly formatted question types, scales, and even initial logic flows, all based on best practices. You'll then refine and add your strategic nuance, saving hours on initial construction.

Executive 'Deck' First-Drafter

After your analysis is complete, feed key data tables, charts, and your top-line findings into an AI tool that generates a first draft of your strategic PowerPoint presentation. This includes suggested headlines for each slide, bullet points for the executive summary, and initial recommendations, giving you a strong foundation to build your compelling narrative for senior leadership.

Common questions

How do you become a Lead Marketing Research Manager?

Common routes in include Senior Marketing Research Analyst (3-5 years), Research Consultant (from agency side) (5-8 years) and Product Marketing Analyst / Data Analyst (with research focus) (4-7 years). Times vary with prior experience.

Where can a Lead Marketing Research Manager progress to?

This role can lead on to Marketing Research Manager (3-5 years) and Principal Research Strategist (Individual Contributor Path) (3-5 years), depending on the skills you build.

What new skills matter most for a Lead Marketing Research Manager?

Increasingly, Prompt Engineering & LLM Integration for Research and Advanced Causal Inference & Experimentation Design. These are the skills our record of this role lists as growing.

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 Lead Marketing Research Manager 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.

Lead Marketing Research Manager

Where should we send it?

Two short quizzes about you

Will AI change your work as a Lead Marketing Research Manager?

What's rising in its place

Prompt Engineering & LLM Integration for Research

Advanced Causal Inference & Experimentation Design

Skills this role draws on

Technical

How you actually get there, here

Senior Marketing Research Analyst (L3)

Research Consultant (from agency side)

Product Marketing Analyst / Data Analyst (with research focus)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

One to one, on the work you already do

Everything else the record holds

The career path, and where it branches

Marketing Research Manager (L5)

Principal Research Strategist (Individual Contributor Path)

Where AI is starting to help

Verbatim Summariser & Theme Extractor

Insight Pattern-Finder & Hypothesis Generator

Strategic Survey Draft Generator

Executive 'Deck' First-Drafter

Common questions

Want a read on where you stand?