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Warner Music Group is building a next-generation Data Platform to enable accurate, comprehensive data across artists, songwriters, and their works. You will work on ingestion, processing, and serving data for analytics and discovery, collaborating with cross-functional teams.
The role emphasizes ownership, fast delivery, and a passion for leveraging data to power music insights and experiences. You will operate in a dynamic environment within Bengaluru, contributing to innovative data products
At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses:
Technology is one of the most important parts of our business. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success. The engineering team at Warner Music Group makes all of it a reality. Check out first‑hand accounts from the WMG engineering, product, design, infrastructure and data teams in our blog! WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences. Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.
Our Data Platform is the foundation of all we do at Warner Music Group, feeding core business processes like marketing optimization, performance tracking, and rights acquisition and distribution; next‑generation capabilities like artist‑fan connection, trend analysis and other machine learning powered applications; and even advanced capabilities like generative AI applications in music.
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