Senior Data Product Manager- eCommerce

600 UMG Recordings Inc

Philadelphia (Philadelphia County)

Presencial

USD 120.000 - 150.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Medical benefits
Well-being reimbursement
Student loan repayment

Descripción de la vacante

Universal Music Group (UMG) is seeking a product manager to lead enterprise eCommerce data products. You will shape strategy, own data products, and partner with Commerce, Marketing, Finance, and Analytics to define trusted metrics and data definitions.

Experience with AI-enabled analytics and familiarity with major commerce platforms are valued. You will build scalable data models, establish data contracts, and drive adoption through documentation and training while upholding governance and

Formación

  • 5+ years of product management experience supporting enterprise eCommerce, D2C, retail, or digital commerce organizations.
  • Experience delivering data products that support AI, machine learning, predictive analytics, or generative AI initiatives.
  • Strong understanding of ecommerce processes including catalog, pricing, promotions, customer lifecycle, orders, fulfillment, subscriptions, and returns.
  • Familiarity with Shopify or other major commerce platforms (Salesforce Commerce Cloud, Magento, BigCommerce, etc.).

Responsabilidades

  • Champion AI-ready eCommerce data products by embedding governance, metadata, and observability into data products.
  • Lead the strategy and execution of enterprise eCommerce data products and data marts as authoritative sources of truth for digital commerce performance.
  • Partner with eCommerce, Marketing, Finance, and Analytics stakeholders to define trusted business metrics, KPIs, and data definitions.
  • Define scalable dimensional models and semantic layers supporting sales, orders, customers, products, subscriptions, and lifecycle reporting.
  • Establish data contracts with upstream platforms and source systems to improve reliability and predictability.
  • Drive adoption of data products through documentation, semantic models, enablement, and training.
  • Evaluate opportunities to improve data product usability and business outcomes with AI-enabled capabilities while maintaining governance, privacy, and data quality.

Conocimientos

Product management
Data products
SQL
Stakeholder management
Analytics
AI / ML
eCommerce knowledge

Descripción del empleo

UMG (Universal Music Group) is the world’s leading music company.

Responsibilities
  • Champion AI‑ready eCommerce data products by ensuring trusted business definitions, semantic consistency, metadata, lineage, documentation, observability, and governance are embedded into every data product.
  • Lead the strategy and execution of enterprise eCommerce data products and data marts that serve as authoritative sources of truth for digital commerce performance.
  • Partner with eCommerce, Marketing, Finance, and Analytics stakeholders to define trusted business metrics, KPIs, and data definitions.
  • Define scalable dimensional models and semantic layers supporting entities such as sales, orders, customers, products, subscriptions, marketing attribution, fulfillment, and customer lifecycle reporting.
  • 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.
Qualifications
  • 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.
  • Strong AI tool proficiency to accelerate product discovery, documentation, analysis, and collaboration.
  • Excellent communication, stakeholder management, and influence skills.
  • SQL proficiency preferred; ability to independently validate requirements and investigate data issues.
  • Systems thinker with a customer‑centric product mindset. Knowledge of the music and label business is a plus.
Benefits
  • Comprehensive medical, dental, and vision coverage, including 100% coverage for out‑patient in‑network mental health services.
  • Well‑being 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‑week PTO for non‑exempt employees; 2‑week paid winter break; 10 company holidays; summer Fridays.
  • Generous paid parental leave for all types of parents.

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. UMG is not enrolled in E‑Verify in California and NewYork, and cannot support employment of candidates whose employer must enroll in E‑Verify, such as candidates on STEM‑OPT.

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