Global Director D&A Product Management, E2E Supply Chain F/M/X

ENGINEERINGUK
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Data Scientist

Vice President, Head of Discovery Data Science

Senior Manager, Data Science - eBay Live

Data Science Consulting Off-cycle Internship

Data Scientist - GenAI - Consultant

You will need to login before you can apply for a job.Global Director D&A Product Management, E2E Supply Chain F/M/X

Employer:

Mars

Apply (by clicking the relevant button) after checking through all the related job information below.Location:

London, United KingdomSalary:

CompetitiveClosing date:

10 Dec 2024Job Description:

Global Director Data & Analytics Product Management, E2E Supply Chain

Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. We are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc.

The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Supply Chain.

Building on this momentum, we are recruiting a

Director of D&A Product Management

to join our Royal Canin Global Data & Analytics Team who will

lead the Global End-To-End Supply Chain Data & Analytics agenda .What will be your key responsibilities?The Global Director D&A Product Management will define and manage the Royal Canin Global End-To-End Supply Chain Data & Analytics Strategy, Vision and Roadmap.The Global Director D&A Product Management will interface with Global, Regional, Market Operations Leaders across Supply Chain, Manufacturing & Commercial to identify & shape the Analytics Product Portfolio.The job holder will be instrumental in establishing a best-in-class data driven culture within Royal Canin and fostering a product-led mindset.This role will need to be in lockstep with key transformational programmes such as EOS, OMP/Planning and SAP S4/ERP.Within this team, you will:Develop and nurture relationships across Royal Canin and the PetCare businesses ecosystem.Act as a change agent for shifting from project to product mindset.Partner with the Global & Regional Data & Analytics Leadership teams to ensure alignment in the creation of Global roadmaps.Understand key processes to enable successful data & analytics products embedment and adoption.Act as a thought leader, changing expectations of 'what is possible'.What are we looking for?Qualifications & Competencies:Strategic inquiry to identify the underlying needs of Supply Chain, Manufacturing and Procurement stakeholders.This role must "lead with problems, not tools" to drive scaling as-is versus when to evolve the Product.Partner with Operations leaders and functional experts to define the unique value proposition for each Product.Work closely with end users to ensure positive end user experience.Technical breadth to identify and apply best practices in Data, Analytics and AI.Knowledge / Experience:Strong track record of customer facing success and business acumen.Strength in business-to-science translation.Analytics foundation - knowledgeable in both operations research and the data science domain.Experience in delivery management of analytical products.Practitioner experience in the Supply Chain & Operations domain highly preferred.Experience in technology/source systems (SAP ERP, Azure, SQL, Hive, PowerBI, React).Education & Professional Qualifications:Bachelor's degree in Management, Business Administration, STEM subjects, or related field. Master's level advantageous.Overall, 10-15 years of experience; Minimum 5 years in Data & Analytics.Minimum 2 years of Analytics experience in the CPG industry.What can you expect from Mars?Work with over 140,000 diverse and talented Associates.Join a purpose driven company.Best-in-class learning and development support.An industry competitive salary and benefits package.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.

#J-18808-Ljbffr

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.