Senior Manager, Data Engineering

Job Overview

We are UMG, the Universal Music Group – the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship, operating a broad array of businesses across recorded music, publishing, merchandising and audiovisual content in more than 60 countries. We are seeking an experienced Senior Data Engineering Manager – Enterprise Data Products to join our Global Data & Analytics team.

• 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 that support 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 engineering best practices for AI‑ready data foundations, including data quality, completeness, consistency, lineage, customer identity resolution and trusted order/product/customer domains.
• Lead the development and implementation of semantic layers that standardize business definitions.
• Ensure enterprise data is structured and documented to support large language models, 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 the implementation and enforcement of data contracts and schema governance to improve stability and usability for AI and analytics consumers.
• Lead the adoption of modern data architecture patterns (lakehouse, real‑time streaming, batch processing, feature stores, data monitoring and observability).
• Guide platform optimization for performance, scalability, freshness and cost while supporting high‑volume ecommerce data and compute‑intensive AI workloads.
• Collaborate with governance teams to ensure data is discoverable, explainable and compliant, especially for AI use cases.
• Mentor and develop engineering talent, fostering expertise in data engineering and AI data readiness principles.

• 10+ years of data engineering experience, with 3+ years in a leadership role and direct ownership of ecommerce, digital commerce, DTC, retail or marketplace data domains.
• Deep knowledge of modern data architectures (lakehouse, real‑time streaming, batch processing).
• Strong understanding of data modeling, including dimensional modeling, feature engineering and semantic layer design.
• Proven leadership experience delivering AI‑ready data platforms and ML/AI workflows, including feature stores, training datasets, model‑data pipelines, personalization, demand forecasting, churn/retention, attribution and other generative AI initiatives.
• Experience driving data quality, governance and observability frameworks critical for AI trust and explainability.
• Demonstrated ability to translate business, ecommerce, analytics and AI requirements into scalable data engineering solutions.
• Strategic exposure to AdTech and Mar Tech, with experience in the music/entertainment industry preferred and the ability to connect audience engagement, marketing technology and data‑driven growth initiatives.
• Experience with cloud ecosystems (AWS, Azure or GCP) and big data technologies (Spark, Snowflake, Databricks, etc.). GCP is a strong plus.
• Strong leadership, stakeholder management and cross‑functional collaboration skills.
• Awareness of data governance and privacy principles, including customer data privacy.
• Ability to lead effectively in a fast‑paced environment, balancing priorities while maintaining quality, stakeholder alignment and delivery discipline.
• Ability to lead the creation of impactful executive presentations that communicate strategy, trade‑offs, roadmap decisions and measurable business outcomes.

• Comprehensive medical, dental and vision coverage.
• 100% coverage for outpatient in‑network mental health services.
• Fertility coverage for eligible medical plan participants.
• Wellbeing reimbursements for fitness classes, spa treatments, meal services,…