Senior Manager, Data Engineering

We are UMG the Universal Music Group. We are the worlds leading music everything we do we are committed to artistry innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music music publishing merchandising and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters and we produce distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

How we LEAD:

We are seeking an experienced and driven Senior Data Engineering Manager - Enterprise Data Products within the Global Data & Analytics team.

You are passionate about leading teams that deliver scalable reliable and AI-ready data platforms that power enterprise decision-making advanced analytics and ecommerce growth. You understand that modern data platforms must not only support reporting but also enable machine learning generative AI and intelligent applications through high-quality well-governed semantically consistent enterprise data.

In this role you will lead teams of data engineers responsible for delivering domain-specific data products semantic layers and data marts that serve as trusted AI-ready sources of truth across the organization while shaping how data is structured governed and exposed to support AI/ML use cases feature engineering and semantic consistency across tools and applications.

How youll CREATE:

• 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 development and implementation of semantic layers that standardize business definitions.

• Ensure enterprise data is structured and documented 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 the implementation and enforcement of data contracts and schema governance to improve stability and usability for AI and analytics consumers.

• Lead 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.

Bring your VIBE:

• 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 MarTech 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 is preferred.

• 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 tradeoffs roadmap decisions and measurable business outcomes.

Perks Playlist:

Join an entrepreneurial global organization where authenticity boldness creativity connection drive and insight arent just valuestheyre how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):

• Comprehensive medical dental and vision coverage

• Including 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 so much more (up to $720/year)

• Student Loan Repayment Assistance and Tuition Reimbursement

• 401(k) with 100% immediate vesting on the first 5% of your contributions plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:

• 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

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.

Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama Arizona Georgia Mississippi North Carolina South Carolina Tennessee and Utah.

Please note UMG is not enrolled in E-Verify in California and New York and cannot support employment of candidates whose employer must enroll in E-Verify for example candidates on STEM-OPT.

For more information please click on the following links.

E-Verify Participation Poster:English / Spanish

E-Verify Right to Work Poster:EnglishSpanish

Salary Range:

The actual base salary offered depends on a variety of factors which may include as applicable the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.