Dawn Kelso
Global Data Service Lead @Version 1
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WORK HISTORY
Global Data Service Lead @Version 1
GB
EDUCATION
University of Northampton
BA Business and Management, Business and Management
SKILLS
ABOUT DAWN KELSO
Data nerd. Helping organisations move to Intelligent Data Platforms - ensuring fit-for-purpose, fit-for-future solutions are designed and delivered.As Data Service Lead at Version 1, I lead the data service, driving enablement, implementation, and adoption of Data, Analytics, and AI solutions, alongside decentralised, democratised, data. Focused on Data and AI technologies spanning Microsoft Fabric and Azure Synapse, Databricks, AWS, Oracle, and Snowflake,(plus Synapse Analytics, Azure Data Lake, Azure Data Factory/Pipelines, Cognitive Services, AutoML, Azure Open AI, and Power BI).Working closely with our technology partners to ensure that we remain at the forefront, driving client advantages.An experienced strategic Data, AI, Business Intelligence (BI), and Analytics leader who enjoys enabling new implementations of data platforms along with BI and Analytics solutions.Enthusiastic about developing people and teams, and building strong stakeholder relationships. With a broad range of experience across multi-national data, reporting, insight, and analytics, spanning a variety of reporting tools, systems, data types, industries, and subject areas.Leading teams of architects, engineers, developers, and analysts to drive business value through data.Focused on full end-to-end solutions, encompassing not only leading-edge technologies, but also TOM, people, and governance strategies.Excited about democratising data access and usage through appropriate functional data models. GDPR (EU General Data Protection Regulation) qualified.Streamlining new implementations of insight and analytics solutions, reporting and analysis with governed data sets, combined with supporting unstructured data exploration, Machine Learning (ML) and Artificial Intelligence (AI) application.Specialities:Data, AI, decision intelligence, analytics, insight, reporting, Business Intelligence (BI), insight, ML, reporting systems and toolsets.
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