Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior SAP S/4Hana Technical Lead – Order To Cash (OTC)

Mars
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior AI/ML and Data Science Developer

Senior AI/ML and Data Science Developer

Senior Pharmacoepidemiologist – RWE & Data Science

Senior Pharmacoepidemiologist – RWE & Data Science

Head of Data Science

Group FSR Analyst

Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program named Shepherd, has been mobilized by the Mars Pet Nutrition leadership team. Shepherd is focused on the implementation of SAP S/4Hana for Pet Nutrition. Much more than a simple “Lift and Shift,” this program will undertake a major process simplification and harmonization scope as we digitally transform our business.


Shepherd is focused primarily on eight mega process areas: Finance, Source to Pay (procurement and vendor mgmt.), Plan to Fulfil (manufacturing and distribution), Lead to Cash (order processing and payment), Governance, Engage to Consume (marketing), Idea to Market (R&D), and Recruit to Retire (HR). This transformation requires thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while applying a holistic and multi-disciplinary approach to each of these mega processes. As part of Shepherd, a new role has been created to manage core Design, Build, Test and deployment solution for Lead to Cash / Order to Cash.


What are we looking for?

  • Experience working in sizeable and complex digital transformations in large global organizations resulting in high adoption of new tools
  • Experience with S/4 HANA transformation
  • Extensive experience working in Lead to Cash / Order to Cash ideally in CGP industry.
  • Proven strategy, planning, delivery, governance and people and org management skills, capability, and experience
  • Customer focused with demonstrated ability to form productive relationships with business leaders, DT personnel and project leaders Passion for working creatively with interesting, innovative data
  • Degree level OR equivalent demonstrated through work experience. Nice to have – Masters / Degree with some computing, scientific, statistical or mathematical component


What will be your key responsibilities?

  • Take ownership of Lead to Cash for Pet Nutrition as part of the ERP Digital Transformation
  • Provide valuable strategic input, contributing insights for in-scope modules, processes, solutions, clients, and organizations during the PN ERP Transformation
  • Collaborate extensively to determine PN ERP priority use cases, targets, and key performance indicators (KPIs) for comprehensive planning
  • Collaborate with Enterprise-level DT Leads and architects to ensure overall coherence of the technical solution
  • Collaborate with Process GPOs and Digital Leads to understand impact of design choices across the complete target architecture
  • Guide SI partner architects to design a solution in line with business needs and architecture principles Problem-Solving: Identify business problems or challenges and formulate data-driven solutions. Collaborate with cross-functional teams to understand requirements and provide analytical support.
  • Continuous Learning and Development: Stay updated with industry trends, emerging technologies, and new analytical techniques. Enhance skills in data analysis, programming, statistics, and machine learning.
  • Live and exemplify the Five Principles of Mars, Inc. within self and team.


What can you expect from Mars?

  • Work with over 140,000 diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.