Adobe Customer Journey Analytics Consultant

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

• 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.