National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior SAP S/4HANA MM and WM Consultant

Capgemini
Woking
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst- FTC

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

As an SAP S/4HANA MM & WM Consultant, you will work as part of a great team shaping and delivering the latest processes and solutions to a wide and varied set of clients, across different industry sectors.

Working alongside Capgemini’s team of specialists in our Supply Chain Management Capability in delivering innovative projects to our existing and new clients, you will also have opportunities to develop our pipeline for future projects.

This role is a unique chance to work with the latest technologies, for example: S/4HANA, IoT, UI5, Digital, Cloud and Mobile, helping Clients renew their enterprise as they move through their transformation journeys.

You will be working on single or multiple project lifecycles, at any or all stages, from shaping the transformation roadmap, through agile delivery to post go live support.

Your knowledge of the SAP Demand to Supply area, with a strong focus on Inventory and Warehouse Management functionality and its integration with Production Planning, Quality Management, and Logistics solutions will allow you to shape, build and deliver solutions in your functional area as well as contribute to the growth of the SAP DTS Capability.

As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications.

Your role

  • Analyse and assess client business processes and requirements to design SAP MM /WM and LE / IM solutions that align with best practices and industry standards.
  • Configure SAP systems to enhance logistics, inventory, and warehouse management processes, ensuring they meet client needs while supporting seamless integration with other modules.
  • Establish and maintain strong relationships with client stakeholders as a trusted advisor, guiding them through the transformation journey and offering tailored solutions to meet their needs.
  • Support end-to-end delivery of SAP S/4HANA MM and WM implementations, including new deployments, upgrades, and system enhancements.
  • Collaborate with cross-functional teams to deliver quality solutions across various stages of the project lifecycle, from transformation planning to post go live support.
  • Translate business requirements into practical, scalable SAP solutions, working within agile and distributed project teams to deliver on client objectives.

Your skills and experience

  • SAP Consulting Experience: Proven experience in SAP S/4HANA or ECC, with expertise in MM, WM, LE and IM modules with exposure to full-cycle design and implementation projects.
  • Solution Design Skills: Strong capability in configuring and optimising logistics, inventory and warehouse processes, ensuring alignment with best practices and seamless integration across SAP modules, such as Order to Cash, Procure to Pay, and Quality Management.
  • Hands-On Configuration Skills: Competent in configuring SAP solutions across key functional areas, including: Goods receipt, Goods Issue, Demand Planning, JIT and Warehouse Processes.
  • Advisory Focus and Best Practice Advocate: Passionate about advising clients on how to get the most from their SAP technologies, advocating for best practice design principles, and ensuring solutions align with the strategic direction and roadmap of SAP.
  • Analytical and Problem-Solving Skills: Strong analytical skills to quickly identify issues, propose effective solutions, and drive continuous improvement across client engagements.
  • Fiori and SAP Roadmap Awareness: Experience with SAP Fiori applications in both MM and WM areas, as well as awareness of the latest SAP capabilities and roadmap.
  • AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance.

Your security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

What does ‘Get The Future You Want’ mean for you?

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

J-18808-Ljbffr

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.