Overview
Experienced AJO (Adobe Journey Optimizer) consultant to lead end-to-end AJO/AEP implementations for enterprise customers, from discovery through go-live and post-launch support.
What you'll do
- Engage customers to understand business goals, technical requirements, and current-state architecture.
- Design solution architecture, implementation approach, data flows, segmentation logic, and integration touchpoints.
- Implement and configure AJO journeys including orchestration, triggers, conditions, wait logic, automations, custom actions, messages, and offers.
- Configure AJO decisioning (decision items, offers, eligibility rules, ranking logic, placements, and decision policies) across channels.
- Design and implement personalized web, in-app, and code-based experiences using AJO/AEP data and SDKs.
- Support experiments, testing, and optimization for content personalization and engagement improvements.
- Provide production support, enhancements, maintenance, upgrades, and defect resolution after launch.
What you'll need
- Hands-on Adobe Journey Optimizer implementation experience (journey orchestration, event triggers, conditions, wait logic, automations, custom actions, messages, offer decisioning, channel configurations).
- Deep Adobe Experience Platform knowledge including Real-Time Customer Profile, Identity Service, XDM schema design, source connectors, datasets, audience segmentation, and destination configuration.
- Ability to design and implement XDM schemas and map source-system fields to XDM, including identity namespaces and profile/experience event data modeling.
- Strong SQL proficiency for querying datasets and transforming data using join/aggregate/filter operations.
- Hands-on integration experience using AEP/AJO REST APIs, including OAuth/IMS authentication and validation with Postman or similar tools.
- Proficiency in JavaScript for personalization logic, API calls, and custom scripting, plus comfort with HTML/CSS for rendering.
- Ability to independently lead AJO/AEP workstreams end-to-end with limited supervision.
Details
- Hybrid work approach with teams in the office an average of four days a week.
Read the full description and apply on the company’s own careers page.
