Olga Medvedjko
About Olga Medvedjko
Olga Medvedjko is the IT Director in Master Data Services at Procter & Gamble in Warsaw, Poland, with extensive experience in various IT and management roles within the company.
Professional Role at Procter & Gamble
Olga Medvedjko currently holds the title of IT Director in Master Data Services at Procter & Gamble, a position she has occupied since 2020. In this role, she is based in Warsaw, Mazowieckie, Poland. Her responsibilities likely include overseeing IT functions related to the management and governance of master data, ensuring that the organization's data assets are accurate, consistent, and secure.
Previous Positions at Procter & Gamble
Before her current role, Olga Medvedjko has held various positions at Procter & Gamble. She was the Data Acquisition Integration Leader and Global Service Manager, adding to her experience in mastering data solutions on a global scale. Between 2017 and 2018, she served as the IT Process Leader in Master Data Management. Earlier, she held the role of Global Service & Operations IT Manager, and before that, she worked as the Demand Planning Process Transformation Manager / Project Manager.
Early Career in IT and Data Management
Olga Medvedjko began her career at Procter & Gamble as an Eastern Europe Distributors IT System Analyst from 2009 to 2011, based in Moscow, Russian Federation. She worked her way up, taking on roles such as CEEMEA Process Transformation Manager and Global Price Solution Manager. Her early roles focused significantly on regional IT system analysis and process management, contributing to her deep understanding of data and IT services.
Academic Background and Teaching Experience
Olga Medvedjko studied at Voronezh State University, where she specialized in Neural Networks and System Analysis and earned a Master of Mathematics and Computer Sciences. During her time at the university, she also served as a Lecturer in Mathematical Analysis for 9 months, which provided her with a strong foundation in both academic and practical aspects of mathematics and computer science.