Supply Chain Manager

Alcedo Selection Limited

Lancaster, Lancashire, United Kingdom

Last month

£60,000 – £85,000 pa

Applications closed

Related Jobs

View all jobs

Supply Chain Project Manager

Safran Burnley, Lancashire, United Kingdom

On-site

SAP S/4HANA Procurement Project Manager

MBDA Stevenage, Hertfordshire, United Kingdom

£70,000 pa

Director of Supply Chain Data Solutions- London

REM Associates Ltd Hertford, Hertfordshire, United Kingdom

£150,000 – £175,000 pa On-site

Smartsheet SME

Fit Out UK Middlesex, London, UB8 3QX, United Kingdom

Hybrid

Snowflake Data Architect

Adecco Wembley, London, HA9 7BP, United Kingdom

£90,000 – £95,000 pa On-site

Logistics Services Analyst

Morson Edge Stevenage, Hertfordshire, United Kingdom

£40 ph On-site

Salary

£60,000 – £85,000 pa

Posted: 1 Apr 2026 (Last month)

Save job

Create job alert

Applications closed

ROLE: Supply Chain Manager

LOCATION: Lancaster (ideally based within 1.5 hours)

SALARY: Very Competitive Salary package, Car Package, Bonus Structure, 25 Days Holiday, Pension.

Alcedo Selection is proud to be partnered with a global market leader in the manufacture and distribution of graphic materials. They are well known for exceptional products, which outperform competitor offerings in real-world applications as well as supporting valued customers with unequalled customer service. The company’s global reach has shown significant growth over the last 10 years: they are now specified daily by sign and digital professionals around the world. Class-leading manufacturing, selection and conversion processes guarantee the highest standards of quality, technical compatibility, and consistency in the industry. Due to continued expansion the company have identified the need for a Supply Chain Manager to lead the end-to-end supply chain planning and execution activities

Job Summary:

Reporting to the Graphics Operations Director and being a key figure in the operations senior leadership team, you will lead demand planning, supply planning, stock management, logistics, capacity planning, customer delivery and the full S&OP process. The role ensures that all planning and service actions support one graphics business made up of three brands that work closely together to meet customer demand. The Supply Chain Manager ensures strong alignment between market demand, operational capability, customer service and cost to serve.

Key Responsibilities:

Demand Planning and Forecasting

Create accurate forecasts using historical data, customer insights and commercial input. Monitor forecast accuracy and drive improvement actions.

Supply Planning and Inventory Management

Build mid-term and long-term supply plans that support demand and reflect network capability. Ensure appropriate stock levels across coating, converting and warehouse locations. Monitor service, supply and stock measures and act when performance moves away from expected levels.

Capacity and Network Management

Maintain capacity models for both sites and ensure coating and converting teams understand expected load. Identify constraints and work with Operations to improve throughput, utilisation and overall network effectiveness.

Logistics Management

Manage inbound and outbound logistics to ensure reliable and efficient delivery performance. Coordinate transport partners, warehouse teams and finishing teams across both countries.

S&OP Leadership

Lead the full S&OP process including demand review, supply review and regional S&OPs. Ensure clear cadence, documented actions and strong cross functional alignment. Consolidate input from Sales, Marketing, Operations, Customer Service, Procurement and Finance to build one shared plan.

Integration Across the Three Brands

Ensure all planning work reflects that the brands operate as one graphics business. Consolidate data, stock information, capacity information and logistics information from all locations.

Management of Different Planning Systems

Work with planning teams that use different tools and ensure all plans remain accurate and consistent. Identify risks created by system differences and build short term solutions while moving toward one system. Maintain a reliable view of demand, supply, stock, logistics and capacity across the entire business.

Who are you:

* Analytical Skills: Strong ability to interpret data, identify trends, and apply statistical models for forecasting.

* Communication & Influencing: Excellent interpersonal skills to manage consensus across multiple stakeholders and regions.

* Technical Proficiency: Familiarity with demand planning tools, ERP & APS systems, and advanced Excel and reporting platform like Power BI

* Business Acumen: Understanding of supply chain dynamics, market behaviour, and cost-to-serve principles.

* Leadership & Collaboration: Strong facilitator able to lead discussions across functions, challenge constructively, and drive alignment

* Problem-Solving & Adaptability: Ability to address capacity & network challenges and adapt plans quickly in changing environments.

* Language: Fluent English

* Education and experience: 10+ years in supply planning or supply chain roles, with exposure to S&OP processes in global & matrix environment. Bachelor’s degree or equivalent in Data Science, Statistics & Predictive Analytics, CPIM or similar supply chain certifications will be an advantage

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.