Adobe Journey Optimizer (AJO) Engineer

A hands-on Senior Adobe Journey Optimizer (AJO) Engineer to drive the day-today configuration, deployment, and ongoing production support of client marketing technology stack.

Handle daily AJO implementation, journey creation, offer authoring, troubleshooting, and operational health, backed by deep practical familiarity with Adobe Real-Time CDP (RTCDP), Adobe Data Distiller, the broader AEP ecosystem, and daily production operations.

Own the implementation from end to end, provide strategic guidance on best practices, and consult with business stakeholders to translate complex requirements into high-impact, data-driven customer journeys., Day-to-Day AJO Implementation & Execution: Lead the hands-on creation, testing, and deployment of complex multi-step journeys, transactional triggers, and batch campaigns within Adobe Journey Optimizer (AJO). Event-Driven Strategy & Implementation: Implement real-time, event-driven journey triggers. Align event tracking schemas to capture high-frequency touchpoints, ensuring seamless data flow from initial trigger to multi-channel execution. Production Support & Troubleshooting: Act as the primary technical point of contact for daily AJO and RTCDP operational issues, diagnosing flow failures, payload errors, delivery discrepancies, and data sync gaps. Data Distiller & SQL Operations: Leverage Adobe Data Distiller and AEP Query Service to query data lakes, build derivative datasets, perform advanced data analysis, and validate data health using Standard SQL and PL/SQL. Real-Time CDP (RTCDP) Operations: Support daily audience segmentation, profile merge policies, identity stitching, and data ingestion validation within RTCDP. Decision Management & Personalization: Build, update, and manage AJO Decision Management rules, fallback offers, and ranking strategies to deliver hyper-personalized crosschannel messaging. Data Validation & Pipeline Tracing: Execute hands-on data validation and quality checks, specifically reconciling data pipelines and movement from Snowflake to AEP. CJA Reporting & Analytics: Map journey event data into Customer Journey Analytics (CJA) to enable comprehensive attribution, behavioral reporting, and performance insights. Suppression & Governance: Configure global suppression logic, frequency capping, and cooldown rules to ensure brand compliance and optimal customer experience. Custom Development & Integration: Configure and maintain custom actions, webhook integrations, and lightweight custom code extensions required for campaign execution. Strategic Business Guidance: Consult with business stakeholders to identify and suggest use cases that maximize the ROI of the AJO toolkit, translating business goals into actionable, datadriven personalized experiences.

Senior-level hands-on practitioner with extensive, daily operational experience implementing and supporting Adobe Experience Platform (AEP) modules., Adobe Journey Optimizer (AJO): Expert-level journey canvas design, message authoring (Email, Push, SMS), event configuration, and troubleshooting. Adobe Real-Time CDP (RTCDP): Profile management, audience segmentation, identity graphs, and data governance. Adobe Data Distiller: Querying data lakes, generating custom datasets, and running SQL queries over massive data stores. Decision Management: Configuring personalized offers, rules, and decision scopes. Database, Query & Data Engineering Skills

Advanced proficiency in Standard SQL, PL/SQL, and AEP Query Service. Hands-on experience with cross-platform data validation and tracing data pipelines from Snowflake into AEP. Solid understanding of relational database concepts, data modeling, and schema structures (XDM Individual Profile and Experience Events). Development & Integration Skills

Proficiency in building custom actions, API integrations, and webhooks for real-time campaign triggers. Familiarity with JSON payloads, REST APIs, and event-driven data flows. Industry Preference

Retail industry experience is a strong plus, particularly familiarity with high-frequency customer data, retail loyalty operations, and high-volume promotional schedules.