Data & Category Management Executive

Grove, Greater London
1 week ago
Create job alert

Manpower are currently seeking an interim Data & Category Management Executive, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment.

The position is based in Kingston upon Thames, Surrey. This is a full-time temporary role to run for 12 months, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to £60,000 per annum, pro rata, depending upon experience.

The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements.

Job Purpose
As the Data & Category Management Executive, you will be responsible for helping to drive the data, category management and customer experience strategy across UFS UKI ANZ, partnering in a number of areas, critical to enabling our Customer Development and Marketing teams to succeed in driving business growth. You will work closely with your local with Brand, Trade & Digital Marketing, CSP (Customer Strategy & Planning); teams as well as collaborating with global partners from Data & Analytics to Customer Experience and Business Operations to drive optimal ways of working enable key stakeholders to drive UFS market share & performance. You will also help build and develop our category relationships externally with our most strategic customers in order to identify and capitalise on areas of mutually beneficial growth and improve the level of collaboration and data sharing to help fuel & enable the 2030 Data & CX Strategy.

Your role in owning, developing and delivering in this role is dependent on your ability to communicate well both written and orally, as well as your passion for supporting business and category growth.

Key Accountabilities

Collaborate with global & local counterparts to better leverage data to inform our Digital nurturing, lead management & sales conversion via enhanced & personalised Customer Journeys
Collaborate with global data & tech teams to develop & support a future-proof tech stack (inc. CRM) to fully enable our sales & marketing community to win in the market.
Drive business & category growth. Provide training & on-going Implement a strategy to enhance data-driven decision marking across UFS UKI via 1st party data, secondary sales data & named-sales acquisition & utilisation
Develop a category management toolkit for Sales & marketing support to embed toolkit with sales team.
Develop external category management relationships with strategic customers, providing actionable recommendations to capitalise & drive areas of mutually beneficial growth.
Support integration of AI/machine learning into UFS strategy by identifying right toolkit, upskilling relevant teams & lead change management to bring these to life.Key Requirements

Relevant business experience within data, insights & category management, managing stakeholders across Sales & Marketing to drive efficiencies, optimal ways of working.
Experience in advanced data, analytics, AI & machine learning, insight generation, customer engagement desirable but not essential.
Good communication, influencing skills & ability to manage internal & external stakeholders at all levels.
Good commercial awareness and business acumen; highly numerate and adept at working with data.
Experience of translating continuous data sources & ad-hoc research into actionable insights
Advanced Microsoft skills & an ability to understand and utilise new systems & toolkits.
Experience in applying AI/machine learning to drive efficiencies & value in a business context (preferred)
Ability to work under pressure and to tight deadlines & deliver to high standard.
Strong networking ability and strong cross-functional team working.
Equally able to work independently & form long lasting working relationships with colleagues & customers.
Project management experience - examples of delivering on time, in full to drive tangible value.
Strong organisational skills and an ability to meet timelines in a disciplined manner.
Degree preferred, education to A level or International Equivalent essential.Additional Information
Kingston working environment:

Contractors who are based at Kingston will be eligible to get free parking at a local carpark
There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products.
A canteen
A Gym is available for use on the Ground Floor (with subscription).
Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers

Related Jobs

View all jobs

Data Scientist - Contract - 12 months

Data Scientist

Head of Data Science

DATA ENGINEER (MICROSOFT AZURE & FABRIC)

Data Insights Lead

Data Quality and Governance Manager

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 a Robotics Job Ad That Attracts the Right People

Robotics is moving rapidly from research labs into real-world deployment. Across the UK, robots are now used in manufacturing, logistics, healthcare, defence, agriculture, autonomous vehicles and service industries. As adoption accelerates, demand for skilled robotics professionals continues to grow. Yet many employers struggle to attract the right candidates. Robotics job adverts often receive either very few applications or large numbers of unsuitable ones. Experienced robotics engineers, meanwhile, routinely skip adverts that feel vague, unrealistic or disconnected from how robotics systems actually work in practice. In most cases, the problem is not the talent pool — it is the job advert itself. Robotics professionals are systems thinkers. They care deeply about constraints, integration and real-world performance. A poorly written job ad signals weak technical understanding and unrealistic expectations. A well-written one signals credibility, seriousness and a mature robotics programme. This guide explains how to write a robotics job ad that attracts the right people, improves applicant quality and positions your organisation as a credible employer in the robotics sector.

Maths for Robotics Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for robotics jobs in the UK it is easy to assume you need degree level maths across everything. Most roles do not work like that. What hiring managers usually mean by “strong maths” is much more practical: you can move confidently between coordinate frames you understand rotations without getting lost you can reason about kinematics, control, uncertainty & optimisation you can turn that maths into working code in a robotics stack This guide focuses on the only maths topics that consistently show up across common UK roles like Robotics Software Engineer, Controls Engineer, Autonomous Systems Engineer, Perception Engineer, SLAM Engineer, Robotics Research Engineer, Mechatronics Engineer & Robotics Systems Engineer. You will also get a 6 week learning plan, portfolio projects & a resources section so you can learn fast without drowning in theory.

Neurodiversity in Robotics Careers: Turning Different Thinking into a Superpower

Robotics is where software, hardware & the physical world collide. From warehouse automation & surgical robots to drones, cobots & autonomous vehicles, robots must sense, think & act reliably in messy real environments. To build that kind of technology, you need people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too chaotic” for engineering. In reality, many traits that made school or traditional offices hard are exactly what robotics teams need: intense focus on complex systems, pattern-spotting in sensor data, creative problem-solving when hardware misbehaves. This guide is written for neurodivergent job seekers exploring robotics careers in the UK. We’ll cover: What neurodiversity means in a robotics context How ADHD, autism & dyslexia strengths map to key robotics roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in robotics – & how to turn “different thinking” into a professional superpower.