Answer why this job is in the organization; Why this job exists (2 or 3 sentences maximum)
The Food & Nutrition Data Leader will be a key driving force in transforming the Food & Nutrition (F&N) business segment. You will have overall accountability for developing the One Global Food Data Platform strategy, including Analytics, Visualization, Dashboards, and Ops. You will be responsible for defining and executing the enterprise data strategy for our digital initiatives, ensuring alignment with business goals, and maximizing the value of data products. As a trusted advisor, you will collaborate with segment cross-functional teams to design and implement cutting-edge data solutions that enhance customer experiences, drive revenue growth, and maintain a competitive edge in the digital marketplace.
Moving to One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition ambition. We aim to harness the power of data and insights, to solve some of the critical business-wide problems we face. And most importantly, we intend to simplify the global end user experience for data and analytics, unlocking quality growth and operational excellence.
Design, develop, optimize, and maintain the data architecture, strategy and pipelines that adhere to F&N principles and business goals.
Defining an operating model for developing and scaling data and analytics products, how the product supports the business strategy and goals, and bring to life through product roadmaps
Partner with Senior business stakeholders to influence and transform seamless user experience & design for complex data and analytics
Ensure all data products are developed with a clear KPI and value opportunity sizing
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Attract, develop, and coach a balanced, skilled, and motivated global data product management team
Define and execute the F&N data strategy roadmap, working in synergy with central Mars Inc COE Analytics teams - to enhance the data lake and a real-time reporting environment for operations
Lead complex data improvement and project management engagements, spanning cross divisions and markets in F&N
Lead the evaluation, implementation, and deployment of emerging tools and best in class end-to-end data platforms – covering Demand, Supply, R&D, and Commercial
Develop and deliver communication and education plans on analytics data engineering capabilities, standards, and processes
Partner with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Context and Scope
Mars Food & Nutrition is a leading CPG business that leverages digital technologies to deliver innovative products and services to our customers. As we continue to expand our digital offerings and optimize our operations, we are seeking a highly skilled and visionary Digital Data Leader to join our dynamic team.
The role sits within the Global Food & Nutrition Digital Technology Team and provides Insight, Thought Leadership, and Technology guidance when it comes to forming the data foundations for the Segment. This role partners with the central Mars Inc. Digital Technology team to understand capabilities that currently exist as well as what new capabilities are being explored.
Minimum 10 years working in a rapid development environment, preferably within analytics environments
Proficiency in SQL (CTE, window functions, temporal data), experience in SAP ECC/S4 is a big plus
Proficiency in a scripting language (Python preferred)
Proficiency of API Consumption
Proficiency in ETL tooling (such as Informatica)
2 to 4 years' experience in applied data science role or equivalent; ideally in a CPG, Retail
Knowledge and experience in modelling techniques and advanced applied skills (e.g. significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka
Experience querying databases (SQL, Hive)
Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (S4 and Apache Spark)
Working knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, to deliver output to the broader business community to improve decision making and productivity
Excellent analytical and problem-solving skills, with the ability to think strategically and translate business requirements into actionable architectural designs.
Strong collaboration skills, working with external technology vendors
Strong Story Telling skills - excellent communication, with senior management exposure
Deep understanding of business drivers / processes and ability to relate segment priorities to associated technology
Learning agility and desire to learn new technology
Strong problem analysis, negotiating and influencing skills.
Proven track record to get things done in a matrixed organization and influencing without authority
What can you expect from Mars?
Work with over 130,000 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.
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.
The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility
First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.
We ask the hard questions so you don’t have to.
Working at Mars UK
4,000 In the UK
Gender diversity (male:female)
London, Slough, Waltham, Castle Cary, Birstall, Plymouth