At a Glance
- Tasks: Lead the data strategy for a transformative $400M digital core programme at Mars.
- Company: Join Mars, an inclusive employer committed to pet health and well-being.
- Benefits: Competitive salary, bonuses, and access to Mars University for continuous learning.
- Other info: Collaborate with diverse teams and enjoy a strong focus on personal development.
- Why this job: Make a real impact on pet nutrition and health through innovative data solutions.
- Qualifications: 10+ years in data leadership with experience in transformation programmes and SAP.
The predicted salary is between 51750 - 63250 £ per year.
This job is with Mars, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
ROYAL CANIN's MISSION IS TO TRANSFORM EACH CAT AND DOG'S HEALTH AND WELL-BEING BY PUSHING THE LIMITS OF NUTRITION AND KNOWLEDGE IN PARTNERSHIP WITH PET PROFESSIONALS. The strategic ambition is to serve 35m pets and generate $10b NSV by 2030. These ambitions call for capabilities enabling sustainable omni channel growth, inventory turnover ratio improvement, real time analytics and visibility driven by data, channel expansion seamlessly integrated and confirmed customer satisfaction in line with the quality and passion we put in our products. The current application systems architecture supporting order to cash, produce to deliver and record to record business capabilities is not adapted to the business growth and evolution beyond 2026.
The EOS Digital Core program is a $400M USD program to design, build, deploy and service the reusable clean SAP S4Hana core and the edge systems specific to Royal Canin including Salesforce and OMP. The EOS DC program is an ERP transformation as well as a business process transformation across Finance, S2P, O2C, P2F, Q&FS and sustainability. The roadmap to transform the process and implement the new ERP and other tech stack is through 2030.
This role is responsible for the overall Data strategy in the program and reports directly to the SVP of the EOS Digital Core program.
What are we looking for?
- 10 years' experience leading data and data teams
- Experience leading in transformation programs
- Strong cross functional/technical business knowledge
- Experience on a business leadership team
- Experience with SAP, SalesForce, B2B, planning and pricing are preferred
- SAP S4Hana experience preferred
What will be your key responsibilities?
- Deliver the end-to-end EOS-Digital Core data strategy to enable the EOS transformation roadmap across Digital Core and Growth from process and data.
- Design the data strategy and methodology for migration, deployment and adoption and the transition into business as usual for Royal Canin and Mars Global Services.
- Lead and integrate the four EOS data pillars as one coherent delivery organization, with clear priorities, decision rights and performance expectations noting all dependencies.
- Act as the single data counterpart to the EOS Digital Core Global Leadership team ensuring an integrated view of progress, investment requirements, decisions and risks.
- Ensure data strategy is aligned with the Petcare Data strategy and ecosystem and generates value for the business.
- Partner closely with the Royal Canin MDM Director and Business Data Owners to ensure the EOS Digital Core program operates within the Royal Canin master data governance framework, standards, forums and decision rights without creating parallel program governance.
- Establish ways of working and governance for escalations across Global Process Owners and teams; Deployment teams and Royal Canin BAU, MDM, D&A, DT and Mars Global Services as well as external delivery partners.
- Develop the resource strategy according to the EOS-Digital Core program principles and drive to reduce duplication in resources across program Associates, 3rd party staff augmentation and IBM/SAP.
- Build and lead the required capability in the team with Mars Associates developing talent and ensuring succession.
- Manage the 3rd party staff augmentation according to the EOS-DC Principles ensuring roles requiring staff augmentation are not capabilities required long term in Mars and/or are required for capacity during a particular phase.
- Accountable for measuring data outcomes rather than coordination alone across Design, Adoption, Migration accuracy, Data Quality performance, market readiness and successful cutovers and sustainable BAU ownership.
- Manage complex stakeholder network across EOS-Digital Core program, Royal Canin, Global Petcare, Mars Global Services and Corporate.
What can you expect from Mars?
- Work with 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.
- A strong focus on 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.
Senior Global Director Data and Analytics, EOS-Digital Core employer: Mars
Mars in Melton Mowbray is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With competitive salaries, private healthcare, and ample opportunities for career advancement, employees are encouraged to grow and thrive in their roles while working with state-of-the-art technology in the FMCG sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Global Director Data and Analytics, EOS-Digital Core
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We think you need these skills to ace Senior Global Director Data and Analytics, EOS-Digital Core
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mars, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mars. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mars
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mars!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
