Posted Sep 10, 2026

Adobe Customer Journey Analytics Consultant

Apply Now
Product Modernization Engineer – Adobe Customer Journey Analytics Consultant Engagement type: Contract Start: ASAP or within two weeks Initial duration: Through December 31, 2026 Future opportunity: Possible extensions and/or conversion Location: 100% Remote within the United States   Job Description: We are seeking a senior, hands-on CJA Product Modernization Consultant or Engineer to deliver a defined workstream within an enterprise Adobe Analytics-to-Customer Journey Analytics transformation. Working with a Level 1 architect, this person converts modernization strategy into schemas, datasets, identity configurations, CJA connections, data views, metrics, reports, integrations, validation processes, and implementation deliverables. Direct, hands-on CJA implementation experience is required. Adobe Analytics experience without CJA delivery experience is not sufficient. The initial engagement runs through the end of 2026. Strong performance may lead to extensions, conversion opportunities, and substantial follow-on work as the Adobe partnership expands. Required Qualifications 5+ years of digital analytics, analytics implementation, data engineering, Adobe consulting, MarTech, or related experience. Direct, hands-on CJA implementation experience plus strong Adobe Analytics and Adobe Experience Platform experience. Experience supporting or delivering an Adobe Analytics-to-CJA migration. At least one official Adobe certification is required; the exact certification name must appear on the resume. Key Responsibilities Lead detailed analytics requirements and process-discovery sessions. Assess Adobe Analytics report suites, data collection, variables, classifications, segments, metrics, dashboards, integrations, and governance. Translate measurement requirements into detailed CJA and AEP designs. Design or build XDM schemas and Experience Platform datasets; configure or support ingestion, identity, CJA connections, and data views. Build dimensions, metrics, filters, calculated metrics, attribution settings, sessionization rules, and Analysis Workspace projects. Execute reconciliation and validation across Adobe Analytics, AEP, source systems, and CJA. Support parallel reporting, testing, defect resolution, cutover, documentation, and production readiness. Identify and escalate data-quality, identity, integration, performance, privacy, and governance concerns. Independently own assigned deliverables while collaborating with architects, engineers, analysts, and client teams. Required Qualifications 5+ years of digital analytics, analytics implementation, data engineering, Adobe consulting, MarTech, or related experience. Direct, hands-on CJA implementation experience plus strong Adobe Analytics and Adobe Experience Platform experience. Experience supporting or delivering an Adobe Analytics-to-CJA migration. At least one official Adobe certification is required; the exact certification name must appear on the resume. Hands-on or architectural knowledge of XDM schemas, datasets, ingestion, identity, CJA connections, data views, metrics, calculated metrics, attribution, sessionization, Analysis Workspace, and validation. Experience translating business measurement requirements into functional and technical solutions. Enterprise client-facing experience and the ability to independently lead a defined workstream. Clear written and verbal English communication. Preferred Qualifications Adobe certification specifically related to CJA, Adobe Analytics, or Adobe Experience Platform; multiple certifications are strongly preferred. Experience with Adobe Web SDK, Experience Platform Data Collection, tags, APIs, or Edge Network. Experience with Real-Time CDP, Journey Optimizer, Target, or other Experience Cloud integrations. Consulting, systems integration, or digital agency experience. What Success Looks Like Assigned schemas, datasets, connections, data views, reports, and validation deliverables are correct and production-ready. Legacy analytics is rationalized and improved rather than recreated without purpose. Data is reconciled and trusted across Adobe Analytics, AEP, source systems, and CJA. The work is ready for cutover and adopted by business users.