Senior Manager, Data Engineering
Core
Leading teams to build scalable, AI-ready enterprise data platforms, semantic layers, and data marts that power commerce analytics, machine learning, and generative AI workloads for UMG's global business.
Role type
Senior Manager, Data Engineering (Enterprise Data Products)
Builds
Enterprise-grade data products, semantic layers, data marts, and AI-ready data assets for ecommerce and analytics.
Domain
Music/Entertainment industry, Ecommerce, Data Engineering, Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Data engineering leadership, modern data architecture (lakehouse, streaming, batch), data modeling (dimensional, feature engineering), semantic layer design, AI/ML workflow delivery, data quality & governance, cloud ecosystems (AWS/Azure/GCP), big data technologies (Spark, Snowflake, Databricks), stakeholder management, strategic roadmap planning.
Preferred skills
Music/entertainment industry experience, AdTech/MarTech exposure, data privacy principles, executive presentation skills.
Technologies
AWS, Azure, GCP, Spark, Snowflake, Databricks
Responsibilities
Lead and manage a team of data engineers delivering enterprise-grade data products and AI-ready assets. Lead strategic design and delivery of scalable data pipelines supporting commerce analytics and AI workloads. Partner with stakeholders to enable AI use cases and feature stores. Champion engineering best practices for data quality, lineage, and customer identity resolution. Lead development of semantic layers to standardize business definitions. Ensure enterprise data is structured for LLMs and knowledge graphs. Own platform reliability, monitoring, and incident management. Lead implementation of data contracts and schema governance. Guide platform optimization for performance, scalability, and cost. Mentor engineering talent in data engineering and AI readiness.
Seniority
Senior, hands-on IC with leadership responsibilities
