Director, Global Head of Analytics Products

Job Description

As the Global Head of Advanced Analytics, you will be leading a team of 65+ data scientists that are all on cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste.

What’s on the Menu?
•    Hire and develop the best data scientists in the CPG industry.
•    Lead a team of 65+ data scientists and data science managers that are working in various agile pods.  This will include 3-4 direct reports
•    Work with the data scientists on your team to develop, own, implement and deploy state of the art machine learning algorithms and other predictive models which will serve as a guiding light for change and improvement.
•    Work with your analytics team and own selection, enhancements, and integration of disruptive technologies (AI/ML, Automation, Optimization) focused on fundamentally transforming the way in which we operate.
•    Collaborate with senior business partners and leadership to share learnings and align on how Analytics roadmap will deliver against key business objectives.
•    engineer end to end solutions and bring creativity and expertise to business challenges.
•    Coach other Data Scientists and Associate Data Scientists and drive technical best practices.
•    Establish best practices, team norms, vision, and roadmaps for the global Advanced Analytics chapter.
•    Evangelize the value of data-driven decision-making.
•    Continue your growth and serve as a leading expert in the Data Science and AI spaces.
•    Global Chapter lead for all Data Science and AI, responsible for leading this community for all products globally.
•    Responsible for incorporating scalable AI use cases throughout the KHC technology portfolio. 
•    Manage $13.5M in CAPEX spend, enabling $1.5B in KHC efficiencies by 2027.  

Recipe for Success: Apply now if this sounds like you!
•    I have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 4 or more years of experience. Advanced degree in Data Science or related field ideal.
•    I have at least 7-10 years of people management experience
•    I am a master in Python and other languages.
•    I possess expertise in machine learning applications such as clustering, time series, classification, regression, anomaly detection, simulation, and optimization.
•    I have experience owning full cycle end to end model deployment.
•    I have proven expertise in cloud platforms like Azure and Snowflake
•    I have a proven track record of developing top data science talent.
 

Location(s)

Amsterdam

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.