UK

United Kingdom · Research and development · Principal/Manager (12-16 years)

Advanced Research Director

As an Advanced Research Director Manager, you orchestrate the future of our scientific exploration, ensuring every breakthrough aligns with our strategic vision.

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.

Start my Advanced Research Director plan, free

Free to start: a plan built for this role, and a Future Fluency module to try first. No card.

Keep this job description

Where should we send it?

One email: what AI is changing in this job, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

Upskilling a team in this role? Talk to us

  • Experience bandPrincipal/Manager (12-16 years)
  • Direct reports10-25 reports
  • Reports toDirector of Advanced Research
  • UK framework levelUsually someone running a function, or a director

Also advertised as Research Programme Lead · Head of Research Portfolio · Senior Research Group Manager

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

SFJ Awards Level 6 Diploma in Conducting Serious and Complex Investigations SFJ Awards · Level 6 · covers 1 of 9 standards
OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 1 of 9 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 9 standards
ATHE Level 7 Extended Diploma in Events Management ATHE Ltd · Level 7 · covers 1 of 9 standards
Level 6 Certificate in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 9 standards
Level 6 Diploma in Professional Sales Institute of Sales Professionals · Level 6 · covers 1 of 9 standards

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

The units you would start with

Conduct serious and complex investigations SFJ Awards Level 6 Diploma in Conducting Serious and Complex Investigations
Data Science Foundations OTHM Level 7 Diploma in Data Science
Data-led Decision Making Level 6 Award in Data-led Decision Making
Research for Strategic Development ATHE Level 7 Extended Diploma in Events Management

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
Change Fluency taking people through change
Start my Advanced Research Director plan, free
Your Plan Illustration

Built for Advanced Research Director

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

  1. Conduct serious and complex investigations SFJ Awards · covers 1 of 9 standards Level 6
  2. Data Science Foundations OTHM Qualifications · covers 1 of 9 standards Level 7
  3. Data-led Decision Making Institute of Sales Professionals · covers 1 of 9 standards Level 6
  4. Research for Strategic Development ATHE Ltd · covers 1 of 9 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 an Advanced Research Director?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

How the AI economy is changing work like this

A broad read on this kind of work, not an analysis of this job on its own. Roles that share a pattern get the same answer here.

Fading: AI does more of this

AI is taking over the routine data analysis and literature reviews, freeing you to focus on strategic decision-making.

→
Rising: worth more because of AI

Your ability to interpret complex data and guide your team through ethical AI integration becomes more valuable than ever.

The new skills this role is being asked for

  • AI-Driven Research Strategy & Oversight
  • Open Science & Collaborative Ecosystem Leadership
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 Advanced Research Director 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.

Start my Advanced Research Director plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

We see you

You sometimes wonder if AI will make your role obsolete, yet you know it's your human insight that truly drives innovation. Balancing the promise of AI with the reality of research keeps you up at night.

An Advanced Research Director sets direction for a research team, aligning scientific work with long-term business goals.

4A day in the life

Not a job advert. A real day, built from what this role actually holds.

08:45
You start your day reviewing the latest data from your team's most promising project, making notes for the upcoming strategy meeting.
11:00
You lead a virtual team meeting, discussing the progress of current research initiatives and addressing any roadblocks your scientists face.
14:30
You meet with the Director of Advanced Research to present updates on your portfolio, highlighting key successes and areas needing attention.
16:00
You spend the late afternoon drafting a proposal for a new research methodology, aiming to incorporate AI tools to enhance experimental design.

5What you'd actually use

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

Python (NumPy, Pandas, SciPy, scikit-learn) Strategic

Dictating standards for data analysis and modelling across your teams, making build-vs-buy decisions for analytical platforms, and reviewing complex model architectures. You won't be writing daily code, but you'll understand it deeply.

MATLAB/Simulink or COMSOL Multiphysics Architect

Identifying and championing the adoption of new simulation technologies that provide a competitive advantage, setting the strategic direction for computational research, and reviewing complex simulation results with your teams.

Benchling or Labguru (ELN) Strategic

Leading the selection and enterprise implementation of new ELN platforms to improve data integrity, cross-team collaboration, and knowledge management across the R&D function. You'll ensure the systems support efficient research.

JMP or Minitab (Statistical Software) Strategic

Establishing the statistical rigour and experimental design standards for the entire R&D organisation, ensuring all experiments are designed and analysed appropriately, and reviewing complex statistical findings.

Confluence & Git/GitHub Strategic

Architecting the knowledge management framework for the entire R&D function to prevent knowledge silos, ensuring clear documentation standards, and overseeing collaborative code development practices.

Planisware or Oracle Primavera (R&D Portfolio Management) Expert

Managing the entire R&D project portfolio, balancing risk, resource allocation, and strategic alignment. You'll use these tools to make informed decisions about project funding and progression, presenting portfolio health to leadership.

Anaqua (IP Management) Expert

Working closely with the legal team to manage our strategic IP portfolio, identifying patenting opportunities, tracking applications, and ensuring our innovations are adequately protected globally. This is about building our competitive moat.

Tableau Server or Power BI Premium Expert

Building and presenting R&D performance dashboards to the C-suite, providing clear, data-driven insights into project progress, portfolio health, and key metrics. You'll need to tell a story with the data.

6What 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
Project Investment & Kill Decisions N/A N/A Recommends to Lead/Principal Scientist, who then recommends to Manager. No direct authority.
Hiring & Performance Management N/A N/A Provides input on candidate suitability and performance reviews for junior staff.
Technology & Methodology Adoption N/A N/A Suggests new tools or methods to Lead/Principal Scientist.

7How 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.

R&D Portfolio Value Growth
Increase in the risk-adjusted Net Present Value (NPV) of your managed R&D project portfolio.
Target · Increase NPV by 15% year-on-year (YoY)

If your portfolio's NPV was £10M last year, we'd expect it to hit £11.5M this year, accounting for project successes and failures.

Technology Transfer Rate
Number of major technologies successfully transitioned from R&D (TRL 6) to Engineering or Commercialisation.
Target · Successfully transition ≥1 major technology per year

Moving a lab-proven prototype (TRL 6) for a new battery material to the manufacturing pilot line, with all data and processes documented for scale-up.

Strategic IP Generation
Number of patents secured in new, strategic technology areas that create a competitive barrier.
Target · Secure 3+ patents annually in identified strategic areas

Filing and securing three new patents around a novel AI algorithm for drug discovery, protecting a new market segment for us.

Talent Retention & Development
Maintaining low voluntary attrition among high-potential staff and ensuring career growth for your team.
Target · Maintain <5% voluntary attrition for staff graded as 'high potential' (Principal Scientist and above) within your group. Ensure 80% of direct reports have clear development plans.

If you have 15 high-potential scientists, no more than one should leave voluntarily in a year. You'll also need to show that most of your team has a clear path forward and is actively working towards it.

Stage-Gate Progression Efficiency
The average time it takes for projects under your management to pass through key Stage-Gate reviews.
Target · Reduce average time to pass Stage-Gates by 10% compared to previous year, without compromising rigour.

If a typical project took 6 months to get from Gate 2 to Gate 3, you'd aim to get that down to 5.4 months by optimising experimental design and decision-making.

Strategic Influence & Thought Leadership
Your ability to influence the broader R&D strategy and represent our scientific vision internally and externally.
  • You're regularly invited to contribute to executive strategy sessions. Your opinions are sought on major R&D investment decisions. You present at industry conferences, positioning us as leaders. You're seen as the go-to person for insights in your domain.
Team Culture & Morale
Fostering a high-performing, collaborative, and resilient research environment.
  • Your team consistently scores highly on internal engagement surveys. People actively seek to join your group. There's a clear sense of psychological safety, where failures are learned from, not punished. Junior scientists feel supported and actively mentored.
Cross-Functional Collaboration
Effectively working with other departments (Product, Manufacturing, Commercial) to ensure research relevance and smooth transitions.
  • Product teams proactively involve your group in early concept discussions. Manufacturing trusts your data and processes for scale-up. There are fewer 'us vs. them' complaints. You're seen as a bridge-builder, not a silo-creator.
Risk Management & Mitigation
Proactively identifying and addressing technical, commercial, and IP risks within your research portfolio.
  • You present clear risk assessments for all major projects. You've got contingency plans in place for critical experiments. There are no major 'surprises' from your team that catch leadership off guard. You're always thinking two steps ahead.

8Would you like it

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

What people enjoy
Building and Nurturing High-Performing Teams

You'll spend a good chunk of your week coaching your managers and scientists, helping them solve problems, navigate career paths, and celebrate successes. You get a real buzz from seeing your team members develop new skills or lead a complex project to completion.

One of your junior managers successfully leads their first major Stage-Gate review, and you feel immense pride in their growth, knowing you helped them prepare.

Shaping the Future through Scientific Discovery

You're driven by the big picture – the idea that your team's research could genuinely change an industry or solve a significant problem. You'll spend time thinking about long-term trends, identifying new research areas, and championing bold, albeit risky, scientific ventures.

You're excited by a new, speculative research proposal from your team, seeing its potential to open up an entirely new product category five years down the line, despite the high failure rate.

Strategic Problem Solving at Scale

You thrive on taking complex, multi-faceted scientific and organisational challenges and breaking them down into manageable strategies. This means everything from optimising the R&D portfolio to figuring out how to integrate a newly acquired technology.

You successfully restructure a research programme that was stuck, re-allocating resources and redefining objectives, leading to a clear path forward and renewed team morale.

What frustrates people
  • The 'Commercialisation Chasm': Watching your scientifically elegant, lab-proven technology die in the 'valley of death' because the manufacturing team deems it 'too complex to scale' or the market isn't ready.
  • Budget Whiplash: Having your long-term, 'blue-sky' research budget slashed mid-year to fund a short-term, incremental improvement for an existing product line, making strategic planning a nightmare.
  • Explaining Uncertainty to Certainty-Seekers: Trying to justify a 5-year project with a 90% chance of failure to a finance department that lives and dies by quarterly earnings, and constantly asking for 'guarantees'.
  • The Knowledge Drain: A key principal scientist with 20 years of tacit knowledge resigns, and you realise their brain was your company's most valuable, undocumented asset, leaving a huge gap.
  • 'Not Invented Here' Syndrome: The engineering or product team resisting a technology you're transferring from R&D, subtly trying to re-engineer it their own way, wasting valuable time and resources.
What this role does not give you
  • Daily, hands-on experimental work or coding – you'll be directing, not doing, most of the time.
  • Guaranteed success for every project you champion – many will fail, and you'll need to be okay with that.
  • A quiet, predictable routine – expect constant shifts in priorities, unexpected challenges, and plenty of ambiguity.
  • Complete autonomy over your budget without scrutiny – you'll own a significant P&L, but you'll be accountable for every penny to senior leadership.

9Who you work with

You'll directly shape our R&D strategy and capability, influencing multi-year investment decisions and the overall direction of our scientific exploration. This role is critical for building the next generation of our products and securing our competitive edge. Get it right, and you'll be a key driver of our company's future value.

Inside the business
  • Director of Advanced Research (your boss)
  • Heads of Product Development
  • Head of Manufacturing & Operations
  • Chief Financial Officer (CFO) and Finance leadership
  • Legal & Intellectual Property (IP) team
  • Other Research Managers and Principal Scientists
Outside the business
  • Academic research partners
  • Key technology vendors
  • Industry bodies and consortia
  • Potential acquisition targets (startups, smaller research firms)

10What you need before you start

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

  • Proven track record of leading complex research projects or workstreams from conception to successful delivery (equivalent to a Principal Scientist or Senior Research Scientist with significant project leadership).
  • Demonstrable experience managing and mentoring a team of scientists or technical professionals, including performance reviews and career development.
  • Extensive experience in experimental design, data analysis, and scientific methodology within a relevant R&D field.
  • A strong publication record or patent portfolio, showcasing significant scientific contributions.
  • Experience managing budgets and resources for research programmes, making data-driven investment decisions.
  • Ability to communicate complex scientific concepts to non-technical audiences, including senior leadership.

11What to practise next

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

Advanced Data Governance & FAIR Principles

As research generates ever-larger and more complex datasets, robust data governance becomes paramount. Ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR) isn't just good practice; it's essential for reproducible science, AI integration, and long-term data value. You'll need to drive this.

Implementing metadata standards and ontologies for · Developing strategies for secure data storage, sha · Ensuring data quality, integrity, and provenance a · Understanding the legal and ethical implications o · Designing data pipelines that support automated an

  • This quarter: Review our current data governance policies and identify key gaps within your managed programmes.
  • Next 3 months: Lead an initiative to implement FAIR principles for a critical dataset within your team.
  • Next 6 months: Explore new data management platforms or tools that could enhance our data governance capabilities.
  • Next 12 months: Establish clear data sharing protocols for external collaborations, ensuring compliance and IP protection.

Quick win: Standardise naming conventions for all new experimental data files. Ensure all data generated by your team is immediately logged in the ELN with relevant metadata.

12Staying current once you are in

What people here do to keep up
  • Regularly attending and presenting at international scientific conferences to stay abreast of cutting-edge research and build your professional network.
  • Participating in leadership development programmes, particularly those focused on managing technical teams and strategic influence.
  • Engaging with industry consortia and academic advisory boards to contribute to and learn from the broader scientific community.
  • Undertaking continuous learning in emerging technologies like AI, advanced analytics, and new experimental techniques relevant to our field.

13The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

AI-Driven Research Strategy & Oversight

AI isn't just a tool for individual scientists anymore; it's fundamentally changing how entire research programmes are conceived, executed, and analysed. Leaders who understand how to strategically apply AI across their portfolio will unlock unprecedented efficiencies and discovery potential. If you don't get this, your teams will be left behind.

  • Integrating AI for automated literature review and
  • Using generative AI for hypothesis generation and
  • Overseeing the ethical implications and bias detec
  • Evaluating and selecting AI platforms for R&D port
  • Understanding the limitations and 'hallucinations'

Open Science & Collaborative Ecosystem Leadership

The days of purely insular corporate research are fading. Open science principles, pre-prints, and collaborative ecosystems (academic, industry consortia) are becoming vital for accelerating discovery and sharing costs. Leaders who can navigate and lead within these open frameworks will expand our research reach and influence significantly.

  • Understanding the benefits and risks of pre-print
  • Developing strategies for external research collab
  • Managing IP in open science environments and conso
  • Building and maintaining relationships with key ac
  • Leveraging citizen science or crowdsourcing for sp

14What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Design of Experiments (DoE)
  • Technology Readiness Levels (TRL) Assessment
  • Stage-Gate (Phase-Gate) Process Management
  • Intellectual Property (IP) Strategy & Management
  • Root Cause Analysis (RCA)
  • Technology Transfer & Scale-Up

15The 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

    Principal Scientist (L4)

    3-5 years as a Principal Scientist

    Skills to master

    • Deep technical expertise, solving the hardest scientific problems, informal mentorship, influencing project direction through technical authority, initiating IP filings.

    You're ready to move on when

    • Consistently delivers on complex, high-risk technical challenges.
    • Is the 'go-to' expert for a critical scientific domain.
    • Has successfully led significant technical workstreams within larger programmes.
    • Demonstrates strong informal leadership and mentorship of junior colleagues.
  2. 2

    Senior Research Scientist (L3) with Management Aspirations

    5-8 years as a Senior Research Scientist, followed by 2-3 years in a team lead role or equivalent.

    Skills to master

    • Leading small projects, formal mentorship, contributing to IP, making technical decisions, managing project timelines and resources.

    You're ready to move on when

    • Successfully led multiple small to medium-sized research projects end-to-end.
    • Has formally mentored 1-2 junior scientists to successful outcomes.
    • Consistently makes sound technical decisions and recommendations.
    • Actively seeks opportunities to take on more leadership and management responsibilities.
  3. 3

    External Research Manager/Lead

    Direct entry with 12-16 years of relevant experience, including 5-7 years in a comparable management role.

    Skills to master

    • Strategic portfolio management, team leadership, cross-functional collaboration, budget management, technology transfer, IP strategy.

    You're ready to move on when

    • Managed a research team of similar size and complexity in a related industry.
    • Successfully brought multiple research projects through commercialisation stages.
    • Has a strong external network and reputation in the scientific community.
    • Demonstrates a clear understanding of our industry's specific challenges and opportunities.

16How people get here · where they go next

Came from
Principal Scientist (L4)
3-5 years
You mastered solving high-risk technical challenges and became the go-to expert in your scientific domain.
You are here
Advanced Research Director
Principal/Manager (12-16 years)
An Advanced Research Director sets direction for a research team, aligning scientific work with long-term business goals.
Goes to
Director of Advanced Research (L6)
3-5 years
This role involves shaping the entire department's multi-year strategy and having a significant strategic influence across the organisation.

The long view: This role can lead to positions such as Chief Scientific Officer or Chief Technology Officer, shaping strategy across an organisation.

The ten Future Fluencies

Zavmo analysis

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

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Advanced Research Director is actually changing.

Where it leads

Roles this leads to

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

  • Head of Innovation or New Ventures

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 Conduct serious and complex investigations, worked against Advanced Research Director.

Conduct serious and complex investigations Level 6

Applied to your work in Advanced Research Director

This unit aims to enable learners to apply the investigation process to serious and complex offending, including gathering and managing intelligence. Learners will conduct investigations adhering to legislation and procedures, liaising with specialists and applying learning from investigations to improve future practice.

The Navigator Last time, we discussed integrating AI into your hypothesis generation process. How has that been progressing?

You It's been interesting, but I'm still unsure about its impact on our strategic goals.

The Navigator Let's explore a specific research programme where AI could accelerate progress and align it with your long-term objectives. We can map out the next steps together.

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.

Start my Advanced Research Director plan, free
A year from now

A year from now, you are a visionary leader in R&D, seamlessly blending AI with human insight to push the boundaries of scientific innovation.

See Your Progress Grow Illustration
Advanced Research Director
  • Design of Experiments (DoE)
  • Technology Readiness Levels (TRL) Assessment
  • Stage-Gate (Phase-Gate) Process Management
  • Intellectual Property (IP) Strategy & Management
  • Root Cause Analysis (RCA)
  • Technology Transfer & Scale-Up
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.

17The 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

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

  1. Director of Advanced Research (L6)

    3-5 years in this Manager role

    Significant increase in scope, responsibility, and strategic influence, moving from managing a portfolio to shaping an entire department's multi-year strategy.

    • Managing P&L for £2M-£10M+ business units.
    • Leading multi-year R&D portfolio optimisation across diverse domains.
    • Shaping go-to-market strategies from a research perspective.
    • Representing the company's R&D capabilities to investors and major partners.

  2. Head of Innovation or New Ventures

    4-6 years in this Manager role

    Shift towards identifying and incubating entirely new business opportunities and technologies, often with a strong external focus.

    • Evaluating external technologies for acquisition or licensing.
    • Developing new revenue streams from research outputs.
    • Managing a portfolio of early-stage, high-risk ventures.
    • Building and leading internal innovation labs or accelerators.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, leading a research team means a lot of strategic thinking, team development, and stakeholder management. But it also means wading through mountains of literature, optimising complex experiments, and drafting critical reports. What if you could offload some of that heavy lifting to AI, freeing you up to focus on the truly impactful stuff?

We're not talking about replacing your scientific expertise; we're talking about augmenting it. Our internal AI Hub is packed with tools and best practices specifically designed for R&D leaders like you. Imagine cutting down on literature reviews, streamlining experimental design, and even getting a head start on patent applications. This isn't just about efficiency; it's about giving you more time to think, mentor, and innovate.

Literature Synthesis Automation

Use AI tools (like Scite.ai or Elicit.org) to rapidly scan, summarise, and synthesise thousands of research papers. You'll identify key trends, conflicting studies, and methodological gaps in minutes, not weeks, giving you a comprehensive overview for strategic planning.

Non-Obvious Hypothesis Generation

Feed AI models with your internal experimental data and vast public datasets. The AI can then suggest novel, non-obvious hypotheses for testing, helping your teams break through cognitive biases and creative blocks to explore genuinely new scientific avenues.

Experimental Design Optimisation

Leverage AI platforms to suggest optimal parameters for complex Design of Experiments (DoE). This means maximising statistical power and insight while drastically minimising the number of expensive and time-consuming lab runs your teams need to perform, accelerating discovery.

Patent & Grant Writing Accelerator

Utilise generative AI to draft initial sections of patent applications or grant proposals. It can efficiently summarise prior art and ensure correct legal formatting, freeing up your scientists to focus on the core claims and novelty, and you to focus on strategic review.

Common questions

Common questions

How do you become an Advanced Research Director?

Common routes in include Principal Scientist (3-5 years as a Principal Scientist), Senior Research Scientist with Management Aspirations (5-8 years as a Senior Research Scientist, followed by 2-3 years in a team lead role or equivalent.) and External Research Manager/Lead (Direct entry with 12-16 years of relevant experience, including 5-7 years in a comparable management role.). Times vary with prior experience.

Where can an Advanced Research Director progress to?

This role can lead on to Director of Advanced Research (3-5 years in this Manager role) and Head of Innovation or New Ventures (4-6 years in this Manager role), depending on the skills you build.

What new skills matter most for an Advanced Research Director?

Increasingly, AI-Driven Research Strategy & Oversight and Open Science & Collaborative Ecosystem Leadership. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

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

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

18Where to go from here

Other roles at Level 6

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

 More jobs in research and development

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

The skills built in this role transfer to other industries, including pharmaceuticals, energy and advanced materials. Some move into venture capital, consulting or government research funding bodies, where scientific judgement and strategic thinking are valued.

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 Advanced Research Director 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.