Category Team Leader

Marlow
1 month ago
Applications closed

Related Jobs

View all jobs

Lead / Senior Applied Data Scientist - Causal AI for Demand Forecasting

Head of Data Science and Architecture

Senior Data Science Director, London

Principal Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug disc[...]

Head of AI Technology - AI Innovation Team - Head of Data Science & Data Software Engineering

Research Data Scientist

Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said, as a culture-driven organisation, we believe that the genuine essence of each person is what truly matters, so we highly encourage you to be as authentically you as possible when submitting your application to showcase your true and whole self.

 

We also acknowledge that the confidence gap and imposter syndrome are a real thing and can get in the way of us meeting fantastic talent, so please don't hesitate to apply – we would love to hear from you!

 

Would you like to kick start your career in a supportive, collaborative and innovative company? 

Do you enjoy working as part of an enthusiastic, passionate, and collaborative team? 

 

Please note this role is a 12 month Fixed Term Contract

 

Join our Category Management Team 

Category Management are the strategic procurement layer working alongside Order Fulfilment & Strategic Sourcing in the wider Procurement Department. The team support with processing and checking all exceptional deals, monitoring the exchange rate & negotiating with suppliers to support with additional GP generation, analysing the amount of risk associated with orders & mitigating that risk where possible, examining vendor terms & ensuring we flow these through to our customers and investigating new routes to market and how we can scale these for the business.

 

Success. The Softcat Way. 

There's a uniqueness to Softcat – what we do, how we do it and why we do it. That's because we help customers to use technology to succeed, by putting our employees first. We give everyone the chance to step up and show how much they can achieve. We succeed when all our people succee 

 

 

Be part of a team that enables business growth

You will be a leading member of the Category Management Team within the Procurement Department focussed on the ‘Solutions & Hardware' side of the business. You will be responsible for managing a team of individuals at various levels in their careers to ensure objectives and team deadlines are met. You will have specific responsibility for the category you manage ensuring vendor programme updates are incorporated into the procurement function successfully. You will be a senior contact internally for other teams and will be required to adhere to best practices and provide excellent customer service throughout

 

As a Hardware and Solutions Category Team Leader, you'll be responsible for: 

Daily management of the team; regular one-to-one's; managing resource & dealing with escalations whilst providing updates to the Category Team Manager.

Final layer of resource for the team to process all order types if required to meet customer demand

Vendor focus on Cisco, HPE, NetApp & Dell

Supporting the team with their training and development requirements whilst remaining accountable for vendor knowledge to be in place to support all procurement processes.

Able to document and justify process changes within procurement ensuring resiliency & sustainability for growth.

Able to easily articulate trends for vendor procurement and discuss market impacts to the wider Procurement function.

 

We'd love you to have 

Good understanding of key vendor procurement models including Hardware-as-a-Service, Cisco Subscriptions & cloud consumption models

Ability to manage performance of others and deliver feedback through consistent, honest and motivational conversations

Recognising the need to adapt your management approach to work with different team personalities to best enhance their motivation and work output

Ability to problem solve queries and issues brought to you by others in the team

Project management of processes, people and resources to achieve company goals for team direction and the ability to utilise skills of others to support.

 

 

Work in a way that works for you  

We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:  

Hybrid working –  3 days in the office and 2 days working from home  

Working flexible hours - flexing the times you start and finish during the day  

Flexibility around school pick up and drop offs 

 

Working with us  

Wherever you work, we want you to experience the freedom and autonomy to realise your potential. You will feel supported by a team that celebrates individuality, encourages different perspectives, and embraces every background.  

 

Join us  

To become part of the success story, please apply now.

If you have a disability or neurodiversity, we can provide support or adjustments that you may need throughout our recruitment process or any mitigating circumstance you wish for us to consider. Any information you share on your application will be treated in confidence.  

You can find out more about life at Softcat and our commitments to diversity and inclusion at (url removed)/jobs/our-culture

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.