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Cognizant

Posted 27 Aug 2026

Adobe Journey Optimizer

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Employment
Full time
Team
Data Science & Analytics
Posted
27 Aug 2026

About the role

Responsibilities:

  • Implement AEP data pipelines: Sources, datasets, XDM schemas, identity namespaces, and profile stitching.
  • Configure AEP RT-CDP: Segments, audiences, destinations (e. g., email/SMS, ad platforms), consent, and governance controls.
  • Build AJO journeys and campaigns: Triggers, eligibility rules, orchestration logic, templates, personalization, and experimentation.
  • Integrate event sources (streaming, batch), edge implementations, and decisioning.
  • Establish monitoring and QA: data quality checks, segment population, journey performance, deliverability, and error handling.
  • Collaborate with QA, Analytics, and Marketing Ops; document solutions and runbooks; provide L3 support.
  • Ensure privacy/compliance: Consent, opt-outs, data retention, PII handling, and regulatory adherence.
  • Optimize performance: throughput, latency, identity match rates, and downstream activation success.


Requirements:

  • Strong hands-on AEP: XDM schema design, identity resolution, profiles, segments, sources/destinations.
  • AJO: Journey design, event triggers, audience eligibility, templates, offers/personalization, throttling, frequency capping.
  • Edge network basics and tag management (Adobe Launch / other TMS).
  • Practical experience with JSON, APIs, webhooks, and data transformation.
  • Understanding of data privacy, consent frameworks, and enterprise governance.


Nice-to-Have:

  • Adobe Target/Offers decisioning, Adobe Campaign integration, and message rendering for email/SMS/push.
  • Experience with Kafka/Kinesis, Snowflake/BigQuery, and ETL/ELT tools.
  • Basic scripting: Python/Node for utilities; CI/CD for configuration as code.
  • Familiarity with customer data platforms (CDPs) and cross-channel activation patterns.

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