Senior Manager, Data Product-Ecommerce

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.

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).
• 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.
• Prominent 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

• 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)

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.