Senior Manager, Data Engineering

Universal Music Group, Inc.

Senior data engineering leader building AI-ready commerce data platforms for Universal Music Group. Leading pipelines, semantic layers, governance, and ML/AI data products.

Posted 9/10/2026full-timeSanta Monica • California • 🇺🇸 United StatesSenior💰 $121,500 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering teams to deliver scalable data architectures and AI-ready data platforms, with a strong focus on data quality, governance, and compliance. Proficient in translating complex business and AI requirements into effective data engineering solutions.

Highest-signal resume keywords

Data Engineering LeadershipAI-Ready Data PlatformsData Quality GovernanceModern Data ArchitecturesEcommerce Data Domains

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Hard Skills

Data ModelingFeature EngineeringSemantic Layer DesignDimensional ModelingReal-Time StreamingBatch ProcessingLakehouse ArchitectureMachine Learning WorkflowsData Pipeline DevelopmentData Governance

Soft Skills

Stakeholder ManagementCross-Functional CollaborationLeadershipStrategic CommunicationMentoring

Tools & Technologies

AWSAzureGCPSparkSnowflakeDatabricks

Industry Keywords

EcommerceDigital CommerceDTCRetailMarketplaceAdTechMarTechData PrivacyCustomer Identity ResolutionGenerative AI

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformSpark

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

10+ years of data engineering experience
3+ years in a leadership role
Direct ownership of ecommerce, digital commerce, DTC, retail, or marketplace data domains
Deep knowledge of modern data architectures, including lakehouse, real-time streaming, and 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 generative AI initiatives
Experience driving data quality, governance, and observability frameworks critical for AI trust and explainability
Ability to translate business, ecommerce, analytics, and AI requirements into scalable data engineering solutions
Strategic exposure to AdTech and MarTech
Experience in the music/entertainment industry preferred
Experience with AWS, Azure, or GCP and big data technologies such as Spark, Snowflake, and Databricks; GCP is a strong plus
Awareness of data governance and privacy principles, including customer data privacy, preferred
Strong leadership, stakeholder management, and cross-functional collaboration skills
Ability to lead effectively in a fast-paced environment while balancing priorities, quality, stakeholder alignment, and delivery discipline
Ability to create impactful executive presentations communicating strategy, tradeoffs, roadmap decisions, and measurable business outcomes

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
100% coverage for out-patient in-network mental health services
Fertility coverage for eligible medical plan participants
Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and more (up to $720/year)
Student Loan Repayment Assistance and Tuition Reimbursement
401(k) with 100% immediate vesting on the first 5% of contributions, plus an additional UMG contribution
Flexible Paid Time Off (PTO) for exempt employees
3-weeks PTO for non-exempt employees
2-weeks paid Winter Break
10 Company Holidays, including Juneteenth and Wellbeing Day
Summer Fridays between Memorial Day and Labor Day
Generous paid parental leave for every type of parent