Senior SAP S/4HANA Asset Management Consultant

Capgemini
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Security Architect

Senior Pricing Analyst

Senior Reporting Analyst

Senior Data Engineer

Senior Data Engineer - Databricks

Senior Software Engineer (GO/PHP)

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

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 Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.