Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Marketing Excellence Manager

Hyper Recruitment Solutions
Surrey
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Strategic Analytics and Data Science Manager

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Senior Strategic Analytics and Data Science Manager

Senior Backend Engineer (MLOps)

On Senior Machine Learning Engineer

AI & Data Scientist

Role Overview

We are currently looking for a Marketing Excellence Manager to join a leading Global Pharmaceutical company based in the Surrey area. As the Marketing Excellence Manager you will be responsible for optimising brand strategy and performance across the portfolio

Key Duties and Responsibilities

Your duties as the Marketing Excellence Manager will be varied however the key duties and responsibilities are as follows:

1. You will be working in partnership with the marketing team responsible for providing clear recommendations, data and insights to support priority brand customer journeys and strategy.

2. As the Marketing Excellence Manager you will be working in partnership with the brand teams to identify and quantify clear patient funnels and customer segments to maximise growth for the portfolio.

3. You will be working in partnership with the IS&E team to ensure the UK qualitative and quantitative primary market research needs for priority brands are developed to inform brand planning.

4. As the Marketing Excellence Manager you will be responsible for investigating and answering key business questions and working with IS&E to deliver the analytics and insights to support the adaptation of brand strategies and tactics.

Role Requirements

To be successful in your application to this exciting opportunity as the Marketing Excellence Manager we are looking to identify the following on your profile and past history:

1. Experience with data visualisation solutions (ex. Tableau) and other advanced analytic/data science solutions (ex. DSS) will be a plus.

2. Extensive experience in management of secondary data and familiarity with pharma applicable data is highly desired (ex. Midas)

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.