Senior SAP S/4HANA MM and WM Consultant

Capgemini
Woking
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior IT Architect - Platinion - SAP Functional/ Tech

Partner Account Director,/Senior Director MuleSoft Partner Program

Senior Electronic Design Engineer

Data Architect / Data Workstream Lead

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Go Developer

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.

To be considered for an interview, please make sure your application is full in line with the job specs as found below.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

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.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.