Global Head of Data, AI & Innovation

Global Head of Data, AI & Innovation

Full-Time 81000 - 99000 Β£ / year (est.) No working from home possible
Universal Music Group UK

At a Glance

  • Tasks: Lead the strategy and development of data and AI capabilities at Universal Music Group.
  • Company: Join a global leader in music and innovation, shaping the future of the industry.
  • Benefits: Competitive salary, creative environment, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in the music industry.
  • Why this job: Make a real impact by transforming cultural intelligence into commercial success.
  • Qualifications: Experience in data strategy, product leadership, and team management required.

The predicted salary is between 81000 - 99000 Β£ per year.

Universal Music Group UK is seeking a Senior Director, Data & Innovation to shape the future of UMGB's data, insight and AI capabilities. You will lead strategy, development and adoption of proprietary platforms transforming cultural intelligence into commercial advantage, blending product leadership, analytics and engineering across global teams.

You will build scalable enterprise products, establish governance, drive AI-enabled solutions, and mentor a high-performing, multidisciplinary group.

Global Head of Data, AI & Innovation employer: Universal Music Group UK

Universal Music Group UK is an exceptional employer, offering a dynamic work environment that fosters creativity and collaboration. With a strong focus on employee growth, the company provides ample opportunities for professional development and advancement within the vibrant music industry. Located in a culturally rich area, employees benefit from a diverse work culture and the chance to engage with global markets, making it a truly rewarding place to build a career.

Universal Music Group UK

Contact Details:

Universal Music Group UK Recruitment Team

We think you need these skills to ace Global Head of Data, AI & Innovation

Data Strategy
AI Capabilities
Product Leadership
Analytics
Engineering
Scalable Enterprise Products
Governance