The Customer Journey Analytics (CJA) Pod Lead / Technical Architect is responsible for leading the migration and implementation of analytics solutions from Adobe Analytics (AA) to Customer Journey Analytics (CJA). This role combines deep platform expertise with technical leadership, guiding pod delivery while ensuring accurate recreation of analytics logic, reporting structures, and governance standards within the CJA environment.
Because migration utilities do not fully translate AA Workspace components into CJA, this role requires hands-on expertise rebuilding projects, segments, and calculated metrics directly within the CJA interface. The position demands strong working knowledge of AA administrative configurations — including marketing channels, processing rules, and classifications — to ensure continuity of measurement and reporting integrity.
You will collaborate closely with analytics teams, data engineers, platform architects, and business stakeholders to deliver reliable, scalable analytics environments and ensure successful adoption of CJA.
Key ResponsibilitiesMigration Leadership & DeliveryLead pod execution for Adobe Analytics to Customer Journey Analytics migration initiatives
Define migration strategies and component recreation plans
Oversee validation of migrated data, logic parity, and reporting accuracy
Coordinate pod workload, technical reviews, and delivery timelines
Rebuild AA Workspace projects manually within the CJA interface
Recreate segments, calculated metrics, and derived components
Validate functional parity and business logic alignment
Optimize projects for usability, scalability, and performance
Interpret AA administrative configurations including:
Marketing channel processing rules
Classifications
Processing rules
Variable configurations and attribution logic
Translate legacy configuration logic into CJA-compatible structures
Identify gaps or redesign opportunities during migration
Provide architectural oversight for dataset design and reporting frameworks
Ensure alignment with enterprise data models and XDM structures
Establish standards for naming conventions, component reuse, and governance
Guide long-term scalability and maintainability of analytics environments
Partner with analytics teams to align reporting expectations
Work with data engineering teams on dataset readiness and validation
Advise architects on analytics architecture implications
Mentor pod members and provide technical guidance
Validate migrated components for accuracy and completeness
Perform QA across projects, segments, and metrics
Identify discrepancies between AA and CJA outputs
Produce documentation outlining migration decisions and logic mappings
Deep experience with Adobe Analytics Workspace
Strong hands-on experience with Customer Journey Analytics Workspace
Proven experience executing AA → CJA migrations
Understanding of dataset-driven analytics and event-based reporting models
Marketing channel configuration
Processing rules
Classifications
Segment and calculated metric construction
Workspace project design and optimization
Experience leading delivery pods or technical workstreams
Ability to guide migration planning and technical decision-making
Strong stakeholder communication and technical documentation skills
Ability to mentor junior consultants/engineers
Familiarity with Adobe Experience Platform datasets and schema structures
Experience aligning analytics implementations with enterprise data strategies
Exposure to RTCDP, AEP, or Web SDK integrations
Experience working within enterprise MarTech ecosystems
Accurate recreation of AA components within CJA
Seamless reporting continuity post-migration
Governed, scalable CJA project structures
High pod productivity and delivery confidence
Strong stakeholder trust in analytics accuracy and usability
Top Skills
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


