Product Manager II - eCommerce Analytics & Business Intelligence (Adobe CJA)

DICK'S Sporting Goods

1d • $83,000 - $138,200

About The Position

The Product Manager II is responsible for leading and managing a specific Product for Dick’s Sporting Goods. This role focuses on delivering customer value, driving sales, and business outcomes through continuous improvement and delivery of quality products. Managing your Product requires you to work cross-functionally, communicate up and down the organization, and work closely with your developers, designers, and partners. The Product Manager for Ecommerce Analytics & Business Intelligence owns the analytics and insights product strategy that enables data‑driven decision-making across the ecommerce customer journey. This role partners closely with Ecommerce, Marketing, Merchandising, Growth, and Technology teams to ensure that trusted, actionable insights are available to optimize conversion, engagement, retention, and revenue. The role serves as the product owner for analytics capabilities, with deep hands-on expertise in Adobe Customer Journey Analytics (CJA) and its integration with Adobe Experience Platform (AEP), enabling cross‑channel and person‑based analysis across web, mobile, and offline touchpoints.

Requirements

• Bachelor's Degree
• 5+ years of experience in product management, analytics product ownership, or digital analytics
• Proven experience supporting ecommerce or omnichannel digital products
• Hands‑on experience with Adobe Customer Journey Analytics (CJA) required
• Deep understanding of ecommerce metrics, funnels, and customer journeys
• Working knowledge of data concepts: identity stitching, schemas, event instrumentation
• Comfortable working with SQL‑based datasets and collaborating with data engineering teams
• Familiarity with experimentation, attribution, and advanced analytics techniques
• Ability to write clear, testable analytics requirements and PRDs
• Strong prioritization and stakeholder management skills
• Experience operating in Agile / Scrum environments
• Comfortable translating ambiguous business problems into structured analytics solutions

Nice To Haves

• Experience working with Adobe Experience Platform (AEP) strongly preferred
• Experience in large‑scale retail, omnichannel, or enterprise ecommerce environments
• Prior ownership of analytics platforms or internal BI products
• Experience enabling executive‑level dashboards and decision tools
• Experience driving adoption and analytics maturity across organizations

Responsibilities

• Own the analytics and BI product vision and roadmap for ecommerce measurement, reporting, and insights
• Define clear product outcomes and KPIs tied to ecommerce funnel performance (ex: conversion, AOV, retention, attribution)
• Prioritize analytics initiatives based on business impact, effort, and stakeholder needs
• Act as the single point of accountability for ecommerce analytics capabilities
• Lead the implementation, configuration, and ongoing evolution of Adobe Customer Journey Analytics
• Define and manage CJA Connections, Data Views, Metrics, Dimensions, Segments, and Calculated Metrics
• Enable cross‑channel, person‑based journey analysis spanning web, mobile app, POS, CRM, and marketing data
• Partner with data engineering on AEP ingestion, identity stitching, and schema design
• Support or lead Adobe Analytics → CJA migrations, including validation and reconciliation
• Translate business questions into analytics requirements, dashboards, and decision frameworks
• Ensure dashboards and reports drive action, not just visibility
• Partner with analysts to enable self‑service analytics while maintaining data integrity and governance
• Standardize definitions for ecommerce metrics and KPIs across teams
• Ensure analytics instrumentation is included early in the product development lifecycle
• Validate data quality and completeness before and after launches
• Work closely with Ecommerce Product Managers to shape requirements and success metrics
• Partner with Engineering on analytics implementation, testing, and release validation
• Collaborate with Marketing, Ecomm, and UX on insights that inform optimization decisions
• Educate stakeholders on analytics capabilities and best practices

Benefits

• competitive total rewards package that could include other components such as: incentive, equity and benefits.
• all state paid leave requirements.
• a generous suite of benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level