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

Apply Now

Marketing Excellence Manager

Russell Tobin
Walton on the Hill
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

On Senior Machine Learning Engineer

AI & Data Scientist

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Responsibilities:

Customer journey and brand strategy:

  • Working in partnership with the marketing team responsible for providing clear recommendations, data and insights to support priority brand customer journeys and strategy
  • Working in partnership with the brand teams identify and quantify clear patient funnels and customer segments to maximise growth for the portfolio
  • Working in partnership with the IS&E team ensure the UK qualitative and quantitative primary market research needs for priority brands are developed to inform brand planning
  • Responsible to investigate and answer key business questions and work with IS&E to deliver the analytics and insights to support the adaptation of brand strategies and tactics.
  • Responsible for supporting capital allocation and ROI across the portfolio, marketing and sales mix

Performance Management:

  • Working with the CO and IS&E teams help co-ordinate the brand tracker requirements ensuring they accurately reflect the target audience and priority brand needs
  • Ensure effective performance measurement and deliver regular assessments of portfolio performance to leadership. Ensure accuracy of the reports and clear articulation of the data and its meaning for the business.
  • Work closely with Brand Managers to identify, at an early stage, any potential opportunities and risks with products and develop a mitigation strategy. Provide early communication of risks and opportunities to the Marketing director.
  • Working in partnership with the brand team responsible for opportunity sizing, headroom analysis and identifying growth opportunities across the 3 year operating period.

Stakeholder engagement:

  • Responsible for providing clear direction to the IS&E team of the data priorities and requirements of the portfolio
  • Responsible as the key point of contact between brand and IS&E teams to coordinate key projects to support the customer journey and growth opportunities
  • Collaborate closely with marketing and IS&E teams in this context and lead forums to analyze and discuss results with leadership.
  • As a key member of the XFT you will be the key point of contact to lead teams and strategic growth projects as required
  • Actively seek to share knowledge and expertise with other colleagues making use of knowledge sharing platform.

 Skills & Experience required:

  • Fluent in English (written and spoken)
  • Strong MS Excel and PowerPoint skills
  • Understands quantitative and qualitative research methodologies.
  • Extensive experience in management of secondary data and familiarity with pharma applicable data is highly desired (ex. Midas).
  • Proven ability to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations and enable commercial decision making. Capable of describing relevant caveats in data or in a model and how they relate to business question. Experience with data visualization solutions (ex. Tableau) and other advanced analytic/data science solutions (ex. DSS) will be a plus.
  • Expertise in the field of customer/omni-channel analytics
  • Previous demonstrated experience of forecasting revenues

Experience:

Experience in commercial, strategy, consulting and/or research/analytics experience, experience with budget and resource allocation management, Healthcare and Pharmaceuticals experience highly preferred.

Education:

  • Bachelor’s degree required or equivalent

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.