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

myGwork
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Digital Data Analyst, Engagement & Personalisation

Senior Data Scientist – Home Insurance Pricing & ML (Hybrid)

Senior Data Scientist – Hybrid ML for Insurance Pricing

Senior Data Science Consultant: Bayesian Pricing & Marketing Optimization

Senior Data Scientist - Hybrid AI & Data Solutions Lead

Senior Data Scientist - Water Sector Digital Innovation

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.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.