Product Manager II - eCommerce Analytics & Business Intelligence
New
USFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLProduct ManagementStakeholder managementData modeling
Requirements
- Bachelor’s degree required.
- 5+ years of experience in product management, digital analytics, or analytics product ownership.
- Hands-on experience with Adobe Customer Journey Analytics (CJA) is required.
- Strong familiarity with Adobe Experience Platform (AEP) is highly preferred.
- Deep understanding of eCommerce metrics, customer funnels, and digital journey analysis.
- Experience working with data concepts such as identity resolution, schemas, and event-based data models.
- Ability to collaborate effectively with data engineering teams and work with SQL-based datasets.
- Strong analytical thinking with experience in experimentation, attribution, and performance analysis.
- Ability to translate ambiguous business needs into structured, testable analytics requirements.
- Strong stakeholder management, prioritization, and communication skills in cross-functional environments.
- Experience working in Agile/Scrum environments within large-scale digital or retail organizations is a plus.
Responsibilities
- Own the product vision and roadmap for eCommerce analytics and business intelligence, ensuring alignment with business outcomes and customer journey performance.
- Define and track key KPIs across the eCommerce funnel, including conversion, AOV, retention, attribution, and engagement metrics.
- Lead the implementation and evolution of Adobe Customer Journey Analytics (CJA), including configuration of data views, metrics, dimensions, segments, and calculated metrics.
- Partner with data engineering teams on Adobe Experience Platform (AEP) integration, identity stitching, schema design, and data ingestion processes.
- Enable cross-channel customer journey analysis across web, mobile, CRM, marketing, and in-store touchpoints.
- Translate business questions into analytics requirements, dashboards, and actionable insights for stakeholders.
- Ensure data quality, governance, and standardization of eCommerce metrics across teams and reporting systems.
- Collaborate with engineering, marketing, UX, and eCommerce teams to embed analytics into product development and optimization cycles.
- Support analytics migrations, validation, and reconciliation efforts across legacy and modern platforms.
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