Senior SAP S/4HANA Asset Management Consultant

Capgemini
London
2 weeks ago
Create job alert

As an SAP S/4HANA EAM Senior 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 many different industry sectors.

All potential applicants are encouraged to scroll through and read the complete job description before applying.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 core Plant Maintenance solutions will allow you to shape, build and deliver solutions in your functional area as well as contribute to the growth of the SAP SCM 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

Using your experience to provide Functional Consulting within SAP S/4HANA EAM to drive value and benefits to our customers.Build and maintain trusted relationships with the client stakeholders and are seen as a Trusted Advisor.Experience of being accountable for translating a business use case into a detailed solution design.Be part of a team that solves problems and provides solutions for large, corporate clients in multiple sectors, working in cross-discipline, agile and distributed teams, across multiple areas of Supply Chain Management, depending on project scope and at various stages of the project lifecycle.Lead your functional area within the engagement as an SAP S/4HANA EAM Consultant to deliver full project life cycle delivery.Identifying new S/4 user interfaces and capabilities – aligning SAP solutions with customer requirements.Hands-on opportunity to work with experienced SAP consultants and supporting leading/global clients (leaders in their fields).Develop skills to provide thought leadership to our clients and internal customers with your knowledge of available solutions both within the SAP portfolio, and the supporting products recognised within the industries.Alongside project delivery you will manage and develop your career through training, networking and contributing to the practice and wider group growth and objectives particularly focusing on EAM initiatives.Your skills and experience

Consulting experience in SAP S/4HANA and ECC working mainly in the core EAM area.Expanding this to wider EAM functionalities, such as PLM, WCM and the new phase-model process is an advantage.Advocate of best practice design principles along with an advisory focus and be able to provide solutions for the business’s requirements.You have a passion to work with our clients, advising them on how to get the most out of their SAP technologies.Have experience in multiple end-to-end design and implementation programmes within S/4HANA or ECC.Awareness of various project lifecycle tools such as JIRA, Solution Manager and Signavio.Have experience in taking the business requirements and creating a functional design with supporting functional specifications.Strong understanding of core plant maintenance business operations and processes.Experience in leading Functional SAP workstreams and managing remote team members.Understand the key capabilities of Plant Maintenance and how they integrate with other SAP modules and applications.Be proficient and have hands-on config experience in Advanced and Basic Plant Maintenance capabilities.Have experience of the Fiori applications within the EAM area.An understanding of the suite of Mobile functionality that can be leveraged to support EAM processing, including Cloud based products such as SAP Asset Manager.Have experience in designing and defining the Plant maintenance org structure to offer a fit for purpose design.AI and Machine Learning Interest: Keeping abreast with AI and ML advancements within SAP to drive automation and intelligent analytics in business processes.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.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

Related Jobs

View all jobs

Senior IT Architect - Platinion - SAP Functional/ Tech

Senior IT Architect - Platinion - SAP Functional/Tech

Senior SAP S/4HANA MM and WM Consultant

Senior SAP S/4HANA MM and WM Consultant

Senior SAP IBP Consultant

Senior SAP IBP Consultant

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.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

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.