Lead Procurement Manager

Aylesbury
11 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Manager Information Technology - Smiths Detection - Hemel Hempstead

Project Manager - Data Analytics (Supply Chain)

Project Manager - Data Analytics (Supply Chain)

Data Analyst Apprenticeship

Senior IT Procurement & Data Analytics Sourcing Lead

Data Compliance Lead

A strategic Lead Procurement Manager is required for our market leading, award winning engineering client based in the Aylesbury region. In return there is a excellent salary of circa £60k-£65k+ dependant on experience with excellent company benefits including annual company bonus and excellent pension scheme in an established reputable company. Apply now!
The ideal Lead Procurement Manager candidate will have the following key skills and experiences;

  • Good proven Procurement management experience - proven experience of procurement lead, procurement management processes within engineering, manufacturing or technical industries or similar
  • CIPS membership, supply chain qualifications or equivalent experience and level
  • Excellent agile working experience and knowledge- you must have applied agile methodology and have a good agile mindset leading, managing and motivating procurement teams
  • Good supplier relationship management experience and negotiation skills and stakeholder experience ( budgets spend control processes)
  • Experience of integrating new AI technologies and innovative solutions to modernise procurement processes (advantageous)
  • Good systems experience, ERP, MRP, SAP or similar
    This Lead Procurement Manager role would suit a forward thinking supply chain professional with good agile methodology knowledge and experience of leading agile multi-disciplinary teams in supply chain delivery and supplier management. This is a great career opportunity for a procurement manager to make this role their own by developing efficient, modern, technologies and innovative procurement process systems to streamline the current procurement process. Now is an excellent time to join and further develop their procurement management career further in this exciting, varied, fast paced role.
    Some key responsibilities of this procurement management role are;
  • Strategic-development of clear procurement strategy and supply-chain road map ensuring procurement regulatory compliance, sustainability standards, company and ethical values
  • Lead, modernise, develop procurement systems, streamline supply chain processes using AI technology, data analytics, supplier portals to minimise disruptions, improve efficiency
  • Motivate, lead, manage and develop procurement team enabling knowledge and skills sharing, professional development and company success
    A full job description will be discussed and submitted to suitable candidates upon application. To apply please email your cv with salary expectations and availability and how you meet our clients Lead Procurement Manager criteria. Don't miss out

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.

Jobs

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.

Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.