About the role

Adobe Experience Platform (AEP) Subject Matter Expert

Role: Adobe Experience Platform (AEP) SME

Experience: 4 – 7 Years

Location: Hybrid

Shift Time: 5:00 PM to 2 :00 AM IST

Role Summary

We are looking for an experienced Adobe Experience Platform (AEP) SME to own the design, build, and ongoing operations of customer data pipelines and audiences within AEP and Real-Time CDP (RTCDP). You will be the go-to expert for data ingestion, XDM modeling, identity resolution, and audience management, and you will troubleshoot data and audience issues so that downstream marketing activation stays accurate and reliable .

Key Responsibilities

Data Ingestion and Modeling

· Design and implement data ingestion from batch and streaming sources (cloud storage, SFTP, databases, CRM, Web/Mobile SDK, Edge Network) into AEP.

· Build and maintain XDM schemas (classes, field groups, data types), including schema governance and evolution.

· Create and manage datasets with correct profile and identity enablement.

· Configure and monitor source and destination dataflows, including mappings, transformations, and scheduling.

Identity and Profile Management

· Configure identity namespaces, identity graph linking rules, and identity resolution strategies.

· Ensure a unified, accurate Real-Time Customer Profile and manage merge policies.

· Audience Management (RTCDP)

· Build, test, and publish audiences (rule-based, streaming, batch, and edge) using Segment Builder and Segmentation Service.

· Manage audience activation to downstream destinations (ad platforms, email/marketing tools, personalization engines).

Validation and Troubleshooting

· Perform data validation at each pipeline stage (source to dataset to profile) for completeness, accuracy, and schema conformance.

· Troubleshoot data ingestion and dataflow failures (mapping errors, schema mismatches, batch failures, identity or profile ingestion issues).

· Troubleshoot audience qualification issues (audience size discrepancies, evaluation lag, merge policy or identity impacts).

· Perform audience validation against expected business logic and source-of-truth data.

· Use AEP UI, Query Service, Profile Viewer, Monitoring dashboards, and APIs to carry out root-cause analysis.

Operations and Collaboration

· Document fixes and create runbooks, SOPs, and knowledge base articles.

· Work with client stakeholders, marketing, data engineering, and QA teams to gather requirements and resolve issues within SLAs.

· Mentor junior team members and contribute to best practices and process improvements.

· Required Skills and Qualifications

Must-Have

· 4-7 years of experience in the customer data platform / martech space, with strong hands-on AEP and RTCDP experience.

· Strong expertise in data ingestion (batch and streaming), datasets, XDM schema building, dataflows, identity resolution, and audience building in RTCDP.

· Proven ability in data validation, data failure troubleshooting, audience qualification troubleshooting, and audience validation.

· Proficiency in SQL (Adobe Query Service / PostgreSQL syntax).

· Working knowledge of AEP APIs (Postman or similar) and JSON.

· Strong analytical, problem-solving, and root-cause analysis skills.

· Excellent written and verbal communication, with the ability to work with global stakeholders.

Good to Have

· Experience with Adobe Journey Optimizer, Adobe Campaign v8, Workfront,etc

· Adobe certifications (e.g., AEP Developer / Business Practitioner, RTCDP Expert).

· Shift and Work Expectations

· Working hours: 5:00 PM to 2:00 AM IST, aligned to client time zones.

· Willingness to support production incidents and handoffs with onshore teams.

Education

Bachelor's degree in Computer Science, Engineering, IT, or a related field (or equivalent experience).

About EXL

EXL company is from our beginnings in business process services to becoming a global leader in data and AI, EXL brings 25+ years of proven expertise helping enterprises transform and redefining what's possible for our clients.

We partner with leading companies in insurance, healthcare, banking and capital markets, retail, media and communications, and energy and infrastructure to reimagine business models, deliver measurable outcomes, and accelerate innovation.

While nearly 70% of enterprise AI initiatives fail, EXL consistently delivers a 90% success rate by integrating deep industry knowledge, robust data and analytics capabilities, and cutng-edge AI implementation in client workflows, turning complexity into value at scale.