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

Apply Now

Category Manager On Trade

Molson Coors
Burton upon Trent
11 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Experimentation: Innovation & Research

Data Science Manager – Experimentation: Innovation & Research

Data Science Manager – Experimentation: Innovation & Research United Kingdom, London

Engineering Lead - Data Engineering

Senior Category Data Analyst

Senior Category Data Analyst

Requisition ID:32829 

We are now looking for a Category Manager - On Trade based in Burton on Trent on a hybrid basis.


Why You Should Join Us

For over two centuries, Molson Coors has been bringing people together over a cold beer, but today, our modern portfolio of award-winning brands extends beyond beer to meet the evolving tastes and preferences of our consumers.

With a presence in over 100 countries and a team of 16,000 talented employees globally, we take pride in our traditions, brands and the role we play in uniting people to celebrate all life’s moments.

As one of the world’s leading beverage companies, we are passionate about promoting responsible drinking and creating a sustainable future.

In addition to popular favourites like Coors, Carling and Doom Bar, our beverage portfolio includes Aspall, Rekorderlig, Staropramen, Madrí Excepcional and Blue Moon. We also have an expanding and evolving premium spirits range that include Black Cow Vodka, Bandero Tequila and Tarquins Gin.

As a People First organisation, we’re happy to discuss flexible working options.

 

Your Purpose

As a category manager you are looking to turn the purchase intent of MCBC Brands that has been built by the brands teams into actual purchase at the right value, by developing a detailed understanding of Customers, the role of the category to customer and developing the optional range & space recommendations to maximise category value & MCBC brand presence. Leading the thinking out to the customer. Category management support balance - 80% external.

 

Key Responsibilities

  • Produce channel reporting to ensure MFST are informed on category dynamics
  • Drive customer engagement for category built through strong customer networking and clear action plans
  • Identify customer specific category opportunities and vulnerabilities based on a data and insight
  • Deliver category based selling tools to support the sales team
  • Use category insights to support marketing teams and the commercial planning process.
  • Deliver key category projects in customer aligned to MCBC strategic intent
     

About You

  • Experience in customer facing roles
  • Excellent presentation and storytelling skills
  • Develop effective working relationships with key stakeholders and decision makers
  • Able to identify key insights from big data sets
  • Able to advance category arguments


About Us

  • We’re one of the UK’s Most Attractive Employers winning the Top Employer award for the last 11 years.
  • Equal Parent Leave - as much or as little as you wish of 52 weeks parent leave, with 26 weeks at full pay irrespective of gender or path to parenthood.
  • Flexible work programmes to ensure a work life balance is maintained such as our market leading Moments That Matter for significant moments in your life.
  • Commitment to the physical and mental wellbeing of all our people reflective of our People First value.
  • We’re committed to raising industry standards and leaving a positive imprint on our employees, consumers, communities and the environment which is reflected in Our Beer Print and our 2025 sustainability targets.

 

Molson Coors Beverage Company: Building Careers

Molson Coors Beverage Company is an Equal Opportunity Employer, and we seek diversity. We want to continue to create an environment where our people are truly able to be themselves at work, regardless of their gender, ethnicity, sexual orientation or religion. We want people to be able to bring their own creativity and style to work, so that we get diversity in our thinking across our organisation, as we believe that we are a better business for it.

This makes our talent strategy simple – we want the best talent in all our roles, regardless of their background. We take pride in celebrating our unique brew and our people are our greatest asset.

We are Disability Confident Committed. If you require any additional assistance or adjustments in advance of, or during the application and/or hiring process, please contact us at .

We want you to succeed and will be happy to support you.

.

 

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.