Head of Procurement & Supply Chain

West Stratton
11 months ago
Applications closed

Related Jobs

View all jobs

Head of BI Business Intelligence and Data

Head of Business Intelligence & Reporting

Head of Business Intelligence & Data Analytics

Business / Data Analyst

Data Engineer

Data Engineer

Procurement Heads’ Industrial practice is delighted to be retained by Stelling Properties to recruit a Head of Procurement and Supply Chain.
  
Full Job Description
  
Procurement Heads’ Industrial practice is delighted to be retained by Stelling Properties to recruit a Head of Procurement and Supply Chain.
  
Stelling are an award-winning family-run construction manufacturing business in the heart of Hampshire and are one of the UK’s leading Modular development and construction companies.
  
They take an innovative, flexible and collaborative approach, working as a trusted partner to contractors, developers and property asset management companies in the design, build and maintenance of modular construction projects.

This is an exciting opportunity to develop strong procurement foundations for manufacturing and construction as the business enters into a rapid growth period and are currently at phase two of their largest ever project. You will be reporting to the Managing Director and will manage eight direct reports.
  
The Head of Procurement will need to:-

Create, and deliver an organisational procurement strategy
Ensure a high degree of ethical and best value for money is achieved across all spend activities and drive value across the business.
Understand a project based working environment
Ensure that Procurement decisions are driven by a full understanding of production requirements and review of the established Bill of Materials in conversation with the Production teams.
Manage the data integrity within the MRP system and drive the creation of a clear Master schedule.
Be responsible for managing the warehousing and logistics functions. Skills and Experience

You will need to have significant experience of procurement and sourcing strategies and managing material in excess of £15m.
Previous leadership experience of managing your own team, and experience of working in a diverse matrix management environment.
MRP systems experience.
A strong background in managing logistics, material storage and warehousing Salary and Benefits

£(phone number removed) per annum
£5,000 car allowance
Eligibility to join the annual discretionary company bonus scheme
4% employer pension contribution
Family healthcare cover
Life Assurance
Company Sick Pay
25 days holiday + bank holidays
Employee discount
Gym membership
On-site parking

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.