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

Apply Now

Senior Digital Lead - Lead to Cash / OTC (SAP S/4Hana)

myGwork
London
1 year ago
Applications closed

Related Jobs

View all jobs

Director Data Science

Senior Data Analyst

Senior Data Scientist

Senior Data Scientist

Data Analyst

Senior Data Engineering Manager

This job is with Mars, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Job Description: 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 Fulfill (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? Live and exemplify the Five Principles of Mars, Inc. within self and team. 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. 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. TBDDT Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.