Senior Manager – Advance Analytics, Careers at Unilever, India.

Application deadline date has been passed for this Job.
  • Post Date: November 10, 2021
  • Applications 0
  • Views 219
Job Overview

Senior Manager – Advance Analytics

Benefits and examples of Predictive Analytics - The Data Company

Main Purpose of the Job:

Lead the technical design, build, deployment and run of the Forecast Engine Utility (FEU). FEU uses machine learning to produce one volume forecast for CD and SC demand with the target of 80% of volume being no touch.

This role is the Product Manager for FEU who will partner with the planning teams globally, product teams that utilise FEU forecasts and market teams who deploy FEU to deliver the vision of one no touch forecast.

Key accountabilities:

Engage with the iOPS Design Authority, Tech Deployment teams and planning transformation team to define requirements and capabilities Develop and provide new solutions to enhance the FEU product in the form of data science, data integration and ML OPs Setup up and lead pilots and experiments to improve forecasting performance and scope Industrialise and automate model build and run Design and lead integration builds and testing Set up and run MLOPs Manage planning and deployment of vendor partners Manage design, build and run budgets Manage forecast run performance to achieve forecast accuracy, bias and no touch adoption targets Track and communicate deployment and run performance of FEU

Experience and qualifications required:


  • Strong knowledge of Data Science, Machine Learning and Analytics
  • Strong knowledge of technology platforms to deploy at speed and scale
  • Supply Chain process knowledge
  • Excellent communication and influencing skills to build trust and support with stakeholders
  • Strong Business Partnering capability and experience.
  • Experience of delivering projects and working with multiple business teams and stakeholders
  • Global Project Management, Budgeting and Tracking
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Experience of delivering End to end Data and Analytics global projects 
  • Ability to lead in a complex ambiguous environment




Job Detail
  • Offered SalaryNot Specified
  • Career LevelSenior Manager
  • ExperienceNot Specified
  • GenderBoth
  • INDUSTRYManufacuring/Production
  • QualificationBachelor's Degree
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