Concord is the world’s leading independent music company. The Company supports more than 125,000 artists and songwriters whose works are licensed, marketed, and performed globally. Concord's growing catalog of 1.3 million songs, compositions, sound recordings, films, plays, and musicals is one of the most impactful and culturally relevant collections of creative rights in history. Concord is headquartered in Nashville with additional offices in Los Angeles, New York, London, Berlin, Melbourne, and Miami. The IT Shared Services department is responsible for building and supporting the data platforms used across all business divisions. Our team ensures that the organization has reliable, secure, and scalable data systems that enable analytics, reporting, and informed decision-making. As the AI Data Cataloging Intern, you will help design and develop an Al-driven proof of concept (POC) leveraging Snowflake Cortex to demonstrate how generative Al and large language models can enhance data workflows within the music analytics ecosystem. This may include building intelligent query assistants, metadata enrichment tools, or automated insights for music datasets. The project will expose the intern to real-world music industry challenges and modern cloud-based Al capabilities. The intern will also support the creation and enhancement of a centralized Music data catalog. This includes documenting tables, schemas, data sources, lineage and key music metadata attributes. The project aims to improve data discoverability, consistency, and governance across the music analytics organization. Our paid internship program will give you a unique opportunity to enhance your professional skillset, increase your knowledge of the industry, and expand your network. Our goal is to help you develop your talents as well as receive dedicated mentorship and support. Our Fall Internship Program will run from Tuesday, June 2nd – Friday, August 14th and allows interns to work up to a maximum of 20 hours per week. This internship is a paid in-person opportunity and requires the ability to work in the specified office location.
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Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed