Job description

We are UMG, the Universal Music Group. We are the world’s leading music company. In 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 seek an experienced and driven Sr. Data Product Manager – eCommerce within the Global Data & Analytics Products team. As AI transforms how businesses operate, trusted data products become even more critical. In this role, you will ensure UMG s eCommerce data products are AI-ready by design—governed, semantically consistent, well-documented, observable, and trusted—enabling analytics, predictive models, intelligent agents, and generative AI applications to reliably consume enterprise data at scale. You ll also embrace AI as part of your own product management practice, using modern AI tools to accelerate discovery, prototyping, documentation, and collaboration while maintaining a relentless focus on delivering measurable business outcomes. You are passionate about treating data as a product and building trusted, scalable data foundations that enable decision-making across UMG. You understand that great data products require more than pipelines—they require clear ownership, reliability, governance, usability, and stakeholder trust. In this role, you will lead the strategy and execution of enterprise eCommerce data products and data marts that serve as authoritative sources of truth for digital commerce performance. These products will power reporting, analytics, predictive modeling, AI applications, intelligent automation, and data-driven decision-making across UMG’s direct-to-consumer ecosystem. You will partner closely with eCommerce business leaders, Product, Marketing, Data Engineering, Analytics, and Governance teams to define, build, and continuously improve trusted data products that are reliable, discoverable, and broadly adopted across the organization. You will champion product management principles within the data ecosystem, ensuring eCommerce data products have clear roadmaps, service levels, semantic definitions, documentation, quality standards, and measurable business outcomes. This role will report to the Sr. Director of Product Management (Data Platform). How you’ll CREATE: Champion AI-ready data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, documentation, observability, and governance are embedded into every data product. Ensure enterprise data products are designed to support emerging AI capabilities, including semantic retrieval, intelligent agents, recommendation systems, and LLM-powered applications. Partner with eCommerce, Marketing, Finance, and Analytics stakeholders to define trusted business metrics, KPIs, and data definitions. Define scalable dimensional models and semantic layers that support entities such as sales, orders, customers, products, subscriptions, marketing attribution, fulfillment, and customer lifecycle reporting. Establish authoritative data products that serve as the source of truth for digital commerce performance across brands, labels, and regions. Partner with enterprise tech & business teams to standardize the global data layer for digital ecommerce Partner with Commercial Strategy, Global Insights, and AI teams to identify opportunities where trusted consumption data products can enable artist forecasting, audience segmentation, fan engagement, trend detection, catalog optimization, and intelligent decision-support. Drive standardization of business definitions for metrics such as revenue, orders, conversion, customer acquisition, repeat purchase, AOV, LTV, refunds, subscriptions, and marketing performance. Partner with engineering teams to implement SLAs, monitoring, observability, incident management, and operational support processes. Establish and maintain data contracts with upstream commerce platforms and source systems to improve reliability and predictability. Drive adoption of eCommerce data products through business-friendly documentation, semantic models, stakeholder enablement, and training. Evaluate opportunities to improve data product usability and business outcomes through AI-enabled capabilities while maintaining strong governance, privacy, and data quality standards. Bring your VIBE: 5 years of Product Management experience supporting enterprise eCommerce, direct-to-consumer (D2C), retail, or digital commerce organizations. Experience delivering data products that support AI, machine learning, predictive analytics, or generative AI initiatives Strong understanding of common eCommerce business processes, including product catalog, pricing, promotions, customer lifecycle, order management, fulfillment, subscriptions, and returns. Familiarity with Shopify or other modern commerce platforms such as Salesforce Commerce Cloud, Magento, BigCommerce, or custom commerce ecosystems. Shopify experience Preferred Experience working with customer, order, product, marketing, and transactional datasets. Understanding of digital marketing and attribution concepts, including paid media, email, CRM, customer acquisition, retention, and lifetime value. Demonstrated experience owning data products throughout their lifecycle, from strategy and requirements through adoption and operational support. Demonstrated ability to leverage modern AI tools to accelerate product discovery, documentation, analysis, and collaboration. Strong understanding of the data foundations required for enterprise AI, including dimensional modeling, data warehousing concepts, data marts, semantic layers, and modern analytics architectures. Experience in defining and managing data quality frameworks, governance standards, and operational reliability practices. Experience in establishing and managing data contracts and cross-functional data ownership models. Strong SQL proficiency preferred, with the ability to independently validate requirements and investigate data issues. Proven ability to translate complex technical concepts into clear business outcomes and stakeholder value. Exceptional stakeholder management, communication, and influence skills. Strong systems thinker with a customer-centric product mindset. Knowledge of the music and label business is a plus. Perks Playlist: Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren’t just values—they’re 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: English | Spanish Job Category: Data, Analytics & Business Intelligence Salary Range: $ 121,500 -$175,000 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.

Requirements

Must-haves

We seek an experienced and driven Sr. Data Product Manager – eCommerce within the Global Data & Analytics Products team.
This role will report to the Sr. Director of Product Management (Data Platform).
Champion AI-ready data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, documentation, observability, and governance are embedded into every data product.
Ensure enterprise data products are designed to support emerging AI capabilities, including semantic retrieval, intelligent agents, recommendation systems, and LLM-powered applications.
Partner with eCommerce, Marketing, Finance, and Analytics stakeholders to define trusted business metrics, KPIs, and data definitions.
Define scalable dimensional models and semantic layers that support entities such as sales, orders, customers, products, subscriptions, marketing attribution, fulfillment, and customer lifecycle reporting.
Establish authoritative data products that serve as the source of truth for digital commerce performance across brands, labels, and regions.
Partner with enterprise tech & business teams to standardize the global data layer for digital ecommerce
Drive standardization of business definitions for metrics such as revenue, orders, conversion, customer acquisition, repeat purchase, AOV, LTV, refunds, subscriptions, and marketing performance.
Partner with engineering teams to implement SLAs, monitoring, observability, incident management, and operational support processes.
Establish and maintain data contracts with upstream commerce platforms and source systems to improve reliability and predictability.
Drive adoption of eCommerce data products through business-friendly documentation, semantic models, stakeholder enablement, and training.
Evaluate opportunities to improve data product usability and business outcomes through AI-enabled capabilities while maintaining strong governance, privacy, and data quality standards.
5 years of Product Management experience supporting enterprise eCommerce, direct-to-consumer (D2C), retail, or digital commerce organizations.
Experience delivering data products that support AI, machine learning, predictive analytics, or generative AI initiatives
Strong understanding of common eCommerce business processes, including product catalog, pricing, promotions, customer lifecycle, order management, fulfillment, subscriptions, and returns.
Familiarity with Shopify or other modern commerce platforms such as Salesforce Commerce Cloud, Magento, BigCommerce, or custom commerce ecosystems.
Experience working with customer, order, product, marketing, and transactional datasets.
Understanding of digital marketing and attribution concepts, including paid media, email, CRM, customer acquisition, retention, and lifetime value.
Demonstrated experience owning data products throughout their lifecycle, from strategy and requirements through adoption and operational support.
Demonstrated ability to leverage modern AI tools to accelerate product discovery, documentation, analysis, and collaboration.

Nice-to-haves

Shopify experience Preferred
Strong SQL proficiency preferred, with the ability to independently validate requirements and investigate data issues.
Knowledge of the music and label business is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmachine learningsql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave