Universal Music Group, Inc.

Data Engineer

• Lead and manage a team of data engineers delivering enterprise-grade data products, data marts, and AI-ready data assets
• Lead the strategic design and delivery of scalable data pipelines and architectures supporting commerce analytics, machine learning, and AI workloads
• Partner with Ecommerce, Product, Growth/Marketing, Finance, and Data Science stakeholders to enable AI use cases, feature stores, and model-ready commerce datasets
• Champion data quality, completeness, consistency, lineage, customer identity resolution, and trusted order/product/customer domains
• Lead development and implementation of semantic layers standardizing business definitions
• Structure and document enterprise data to support LLMs, knowledge graphs, personalization, forecasting, and downstream AI applications
• Own platform reliability, including SLAs, monitoring, observability, and incident management for ecommerce analytics and AI data pipelines
• Lead implementation and enforcement of data contracts and schema governance
• Lead adoption of lakehouse, real-time streaming, batch processing, feature stores, data monitoring, and observability patterns
• Guide platform optimization for performance, scalability, freshness, and cost
• Collaborate with governance teams to ensure data is discoverable, explainable, and compliant
• Mentor and develop engineering talent in data engineering and AI data readiness principles

Senior Manager, Data Engineering

Revenue Operations

• Drive revenue planning and analysis across D2C, touring, and retail merchandise channels
• Partner with account managers, channel and commercial teams to build, pressure-test, and refine artist and campaign projections across the roster
• Develop practical forecasting models, planning frameworks, and projection methodologies that can scale across the business
• Work closely with merchandise planning, finance, operations, and label commercial teams to align on assumptions, timelines, reporting, and planning processes
• Lead recurring executive reporting, compiling business reviews, and performance analysis
• Identify risks, opportunities, and trends across artists, product categories, campaigns, and sales channels
• Help shape the roadmap for stronger forecasting tools, reporting infrastructure, and planning workflows
• Build clear analytical frameworks and reporting solutions that improve forecasting accuracy and commercial visibility
• Help establish shared best practices for revenue forecasting, commercial planning, and business reviews across teams

Senior Manager, Revenue Planning and Analysis

Content Marketing Manager

• Reviewing and assessing UMG content using a variety of internal and external technologies
• Assess & review online uses of UMG digital and physical assets (including publishing), to detect infringement of our rights
• Handling inquiries from our internal business units and labels (including Spanish-speaking labels)
• Work with our international trade groups to enforce our rights
• Staying abreast of digital trends related to the recording industry

Content Protection Representative

Data Scientist

• Champion AI-ready data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, observability, documentation, and governance are embedded into every streaming and social data product.
• Ensure data products are designed to support emerging AI capabilities—including semantic retrieval, recommendation systems, intelligent agents, and LLM-powered experiences—through high-quality, well-governed enterprise data.
• Partner with Commercial Strategy, Global Insights, Label Analytics, Marketing, Finance, and Digital Business teams to define trusted business metrics, KPIs, and standardized consumption definitions.
• Manage the lifecycle of external consumption data sources, ensuring licensed datasets are consistently ingested, governed, documented, monitored, and integrated into trusted enterprise data products.
• Define scalable dimensional models and semantic layers supporting streaming activity, audience engagement, artists, releases, tracks, playlists, social engagement, territories, and commercial performance.
• Establish authoritative data products that serve as the source of truth for music consumption performance across labels, artists, releases, and markets.
• Standardize business definitions for metrics, including streams, listeners, followers, saves, playlist reach, engagement, audience growth, chart performance, market share, and consumption trends.
• Partner with engineering teams to implement SLAs, monitoring, observability, incident management, and operational support processes.
• Establish and maintain data contracts with internal and external consumption data providers to improve reliability and predictability.
• Drive adoption of consumption data products through business-friendly documentation, semantic models, stakeholder enablement, and training.
• Evaluate opportunities to improve business outcomes by applying AI to music consumption, audience behavior, and content performance while maintaining strong governance and data quality standards.

Senior Manager, Data Engineering

Senior Manager, Revenue Planning and Analysis

Content Protection Representative

Senior Manager, Data Product – Streaming, Social