Finance Director, AIML

GlaxoSmithKline
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Director, Data Science and Analytics

Associate Director, Data Science - Market Access

AI Data Scientist — Finance, Modelling & NLP (Hybrid UK)

Model Risk Data Scientist: AI/ML Validation & Automation

Data Scientist — AI/ML for Finance (Hybrid, Bonus & Shares)

Hybrid Research Data Scientist: AI & ML for Finance

Site Name:

USA - Pennsylvania - Upper Providence, GSK HQ, Philadelphia Walnut Street

Please make sure you read the following details carefully before making any applications.Posted Date:

Nov 19 2024This role is an embedded Finance Partner role, providing all aspects of finance partnering and leadership for SVP R&D Artificial Intelligence & Machine Learning (“AIML”) and their Leadership Team. This is a team that operates like a startup organisation within GSK R&D and requires agile thinking and flexibility including regular realignment to emerging R&D priorities. The role will report into VP Finance R&D Research Tech and will be a key member of that leadership team. It should be noted that SVP AIML reports directly into President R&D and does not report into R&D Research Tech.This role will work closely with AIML LT and project leads, supporting Strategy and Objective prioritisation as well as understanding the projects they are delivering, and strengthening collaboration with partnering business leads, Operations and Finance teams, to ensure aligned expectations and seamless hand-offs. This will include working with business, Operations and Finance partners across R&D Research Tech, Research Units (RIRU, Oncology & Vaccines), MDS and One Development and CMO teams, as well as with the related R&D Digital and Tech functions (Onyx, CMC & Dev Tech) to optimise value delivered into the R&D organisation.This role will drive alignment between the AIML, R&D and R&D Digital & Tech teams to leverage GSK’s data and platform technologies and AIML modelling to progress and enhance pipeline assets and R&D capabilities.The role will also lead the financial planning and reporting for AIML, an organisation made up of approximately 180 FTEs, with ~£50m Opex,

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.