Define the data structure and quality for processing of structured data
Align requirements of data pipelines for structured data with Munich RE IT
Develop data cubes for insight generation
Ensure compatibility between structured data and (Gen)AI model requirements
Develop and maintain high-quality documentation of data sources, data flows, and data assets to facilitate knowledge sharing and collaboration across the organization
Work closely with business stakeholders, data scientists, engineers, and other teams to understand data requirements, provide data support, and identify opportunities for data-driven innovation
Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities