Manuel Wiegand

Background

About Manuel Wiegand

I am a data and AI strategist with ground-up experience in data science, data engineering, and BI, who is eager to drive commercial excellence with data and machine learning. My data quest started at university >15 years ago with statistics, econometrics, causal inference, and time series modelling. Almost 10 years ago, I started developing machine learning models spanning customer segmentation, forecasting, and recommender engines. I set up data platforms and interactive dashboards, and coached business users in data-driven ways of working. For 7+ years, I have led teams of data scientists, data engineers, and business experts in projects to deliver digital products and services to increase revenue, profitability, and customer satisfaction with data and machine learning. Building on technical proficiency and commercial experience, I designed data and AI strategies for companies to spark digital transformations, addressing questions such as: How to deliver data and AI with positive top-line and bottom-line impact How to design and set up a data architecture to enable data flow from source to use case How to manage data ensuring its quality and integrity How to initialise a scaled agile organisation to monetise data and AI