Defence Artificial Intelligence Centre - Lead Product Manager

UK Ministry of Defence
Corsham
1 month ago
Applications closed

Related Jobs

View all jobs

2026 Apprentice - Digital (Data Science) - Belfast

2026 Apprentice - Digital (Data Science) - Belfast

2026 Apprentice - Digital (Data Science) - Belfast

Data Scientist: Graph Database & Ontology Specialist

Senior Data Scientist & Machine Learning Researcher

Senior Data Scientist & Machine Learning Researcher

Join to apply for the Defence Artificial Intelligence Centre - Lead Product Manager role at UK Ministry of Defence


UK Ministry of Defence provided pay range

This range is provided by UK Ministry of Defence. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from UK Ministry of Defence


MOD Corsham, Westwells Road, Corsham, SN13 9NR, MOD Abbey Wood, Bristol, BS34 8JH, MOD Main Building, Whitehall, London, SW1A 2HB


Please note that there will be regular travel required to other sites.


Job Summary

The MOD's digital teams ensure we remain among the most technologically advanced Armed Forces in the world. We develop and lead in cutting‑edge data science, automation, and cybersecurity solutions to protect the UK and its interests, at home and abroad.


At the Defence AI Centre (DAIC), our mission is to advance the power of Artificial Intelligence (AI) to give the MOD a decisive edge. We drive the ambitious, safe, and responsible adoption of AI across Defence, to make the difference where it matters most. Joining the DAIC means becoming part of a world‑leading, multi‑disciplinary team at the forefront of AI innovation. You’ll be working closely with partners across the MOD, international allies, government agencies, industry leaders, and academic experts to shape the future of UK Defence AI.


Responsibilities

  • Lead and manage a small, evolving portfolio of AI Pathfinder projects, covering both battlespace and business‑space applications of AI.
  • Apply product thinking to this portfolio, driving quality, value, and strategic direction.
  • Shape product strategy, manage roadmaps, and support programme delivery across teams.
  • Provide wider leadership and help build capability by recruiting, mentoring, and coaching junior Product Managers.
  • Maintain stakeholder alignment and deliver innovative, mission‑critical outcomes that harness AI to strengthen the UK’s Defence.
  • Balance resources between teams, ensuring overall outcomes align to product vision and resources are optimised for best value.
  • Work with service management teams, ensuring they have timely access to products and information for support.
  • Develop and execute product strategy to keep key stakeholders informed and customer value prioritised.
  • Provide engagement and information needed to enable users to make the most of the product across its life cycle.
  • Work with problem owners to ensure problems are fully understood and product solutions meet their needs.
  • Encourage and facilitate continuous improvement of delivery teams.

Person Specification

We are seeking an enthusiastic and motivated individual to lead on AI products in the absence of established patterns or precedents. The ideal candidate will be adaptable, perceptive, and comfortable working in a fast‑paced and complex environment.


You will have experience working in hybrid delivery environments where Agile interfaces with other methodologies such as Waterfall, demonstrating the ability to collaborate effectively and reach pragmatic compromises. You will have a track record of applying Digital Service principles to meet user needs, maximise value delivery and operational efficiency. A clear understanding of the distinction between product development and bespoke customisation is essential, along with proven experience in strategic planning, product ownership, and maintaining a strong user‑focused approach.


Experience with AI, machine learning, or data science products or programmes would add value, but don’t worry if you don’t have this, we’d still love to hear from you.


When submitting your CV, please highlight your career history and experience relevant to this role. Additionally, refer to the “Things You Need to Know” section of the advert and provide a statement of suitability (max. 1250 words) demonstrating the essential criteria listed below:



  • Explain your experience of incubating digital products from the start of their life cycle and into scaling and/or live service.
  • Explain your experience of managing competing deadlines while keeping your team engaged, motivated, and aligned with key priorities.
  • Describe your ability to build partnerships with customer and delivery teams, achieve consensus and drive strategic decision‑making across diverse stakeholder groups.

Next Steps

Do you want to hear more about this role? We would love for you to join us, and learn more from members of the team, at our upcoming candidate brief, being held on 16/12/25 @ 5pm. To confirm your attendance, please e‑mail us using your personal email at with your name and the CSJ reference number. We will then forward you a Microsoft Teams invite to join on the day.


Things You Need to Know

This vacancy is using Success Profiles and will assess your Behaviours, Experience and Technical skills.


To apply, please upload your CV in the relevant section on the Civil Service Jobs dashboard, ensuring it clearly demonstrates how you meet the essential criteria outlined in the person specification. You must also submit a personal statement (maximum 1,250 words) providing evidence of how you meet these criteria.


Here is a link to our video which gives you helpful tips and guidance on the CS Jobs application process: Watch


The interviews will be held via Microsoft Teams, and we’ll assess you against the following Behaviours and Technical Skills:


Behaviours



  • Making Effective Decisions
  • Seeing the Bigger Picture
  • Delivering at Pace
  • Leadership

Technical Skills



  • Lifecycle Management

If invited to interview you will be expected to deliver a short presentation on a related topic. The subject of this will be advised nearer the interview time. We anticipate that applications will close 12 Jan 26, with interviews currently planned for week commencing 26 Jan 26 to provide those called forward for interview with time to prepare.


Feedback will only be provided if you attend an interview or assessment.


Security

Successful candidates must undergo a criminal record check.


Successful candidates must meet the security requirements before they can be appointed. The level of security needed is developed vetting.


See our vetting charter.


People working with government assets must complete baseline personnel security standard checks.


Nationality requirements

  • UK nationals
  • Nationals of the Republic of Ireland
  • Nationals of Commonwealth countries who have the right to work in the UK
  • Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre‑settled status under the European Union Settlement Scheme (EUSS)
  • Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre‑settled status under the European Union Settlement Scheme (EUSS)
  • Individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Seniority level

  • Mid‑Senior level

Employment type

  • Full‑time

Job function

  • Information Technology and Product Management

Industries

  • Defense and Space Manufacturing

Referrals increase your chances of interviewing at UK Ministry of Defence by 2x


Sign in to set job alerts for “Artificial Intelligence Specialist” roles.

Bath, England, United Kingdom


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.