Data & Category Management Executive

Manpower UK Ltd; Greater London; On-site; GBP 45,000 - 60,000; Full time

Job summary

A key player in data and category management in the UK is seeking a Data & Category Management Executive to drive the strategy across various teams. The successful candidate will leverage data to support marketing and sales, enhance customer experiences, and collaborate across functions. Ideal candidates will have relevant experience in data management and insights, strong communication skills, and be able to manage stakeholder relationships effectively. This role offers excellent opportunities for career growth and development.

Benefits

Free parking at local carpark

Discounted products from Staff Shop

On-site gym facilities

Qualifications

• Relevant business experience in data and category management.
• Strong communication and influencing skills.
• Ability to manage internal and external stakeholders.

Responsibilities

• Collaborate with global and local counterparts.
• Support integration of AI and machine learning.
• Drive business and category growth strategy.

Skills

Data management

Stakeholder management

Communication skills

Analytical skills

Project management

Education

Degree preferred

A level or International Equivalent

Tools

Microsoft Excel

AI / machine learning tools

Job description

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

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