Product Manager

City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Product Manager (Artificial Intelligence) - Ipswich, Norwich, Cambridge, Chelmsford

AI Product Manager - Data Science (Energy) - London

AI Product Manager - Data Science (Energy) - London

Sr Product Manager, Data Science

AI Product Manager - Data Science

Product Owner - Network Automation, AIOps (OSS)

Product Manager
3-6 Month Contract
£Negotiable (Inside IR35)
Hybrid - 1 day per week in London

My client, a consultancy is looking for a Product Manager to join a pharmaceutical based client of theirs on an initial 3-6 month contract.

On the job details-

Delivery within an ART Train framework using SAFe Kanban and SAFe Scrum to deliver value
Manage quarterly delivery of features for Programme Incrementation (PI) Delivery for multiple Biopharm workstreams
Manage NGS Data storage and Tertiary analysis enablement via Object Store, RDIP and Azure platforms that allow cataloging of data both in-cloud and on-prem.
Act as a conduit between SMEs (including Biopharm,Vx Immune Informatics, Vx TRD, PRD, Vx Data Science, Rx Genomic Sciences, Tech Research and Development) to ensure that any high priority issues or requirements are handled appropriately.
Work with cross-functional teams, third party technical providers Bioinformaticians, Genomic Data Scientists, GS and Genomic Scientists and data Scientists Design and deliver the optimal set of products and services which meets the business strategy and requirements.
Manage the development lifecycle, supporting technology teams through PI Planning and agile ceremonies, such as: Daily Stand Ups, Sprint Reviews, Demos and Retrospectives.
Manage Suppliers and Compliance stakeholders to ensure the capture and use of user experience data complies with obligations as specified in GDPR and FAIR guidance.
Manage the delivery of a Clinical, Restricted, and GxP data storage in centrally controlled object store repositories, with access limited as required where appropriate users are enabled to use qualified tools to access for further analysis as needed.
Support NGS File API interface to IRMS and Sample Sheet creation from IRMS JSON file.
Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.