T&T_Customer_M&C - Senior Consultant | Adobe Platform | Bengaluru

T&T_Customer_M&C - Senior Consultant | Adobe Platform | Bengaluru
• Job requisition ID : 109335 
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP 

The team

Customer has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about: Customer

Key Responsibilities:

We are looking for an experienced Adobe Journey Optimizer Decisioning (AJO-D) & Offer Decisioning (OD) Senior Consultant with 7+ years of experience in Adobe Experience Cloud implementations and personalization solutions. The ideal candidate should possess strong expertise in Adobe Journey Optimizer Decisioning, Offer Decisioning, Adobe Experience Platform (AEP), Adobe Web SDK, and real-time personalization.

The consultant will work closely with business stakeholders, solution architects, developers, and data engineering teams to design, implement, troubleshoot, and optimize enterprise-scale decisioning and personalization solutions, enabling organizations to deliver contextual and real-time customer experiences across digital channels.

1. Offer Decisioning Implementation:

• Lead end-to-end implementation of Adobe Journey Optimizer Decisioning (AJO-D) / Offer Decisioning across websites, mobile applications, and digital channels.
• Configure Offer Collections, Offers, Placements, Decision Scopes, Decision Policies, Eligibility Rules, Ranking Strategies, Constraints, and Fallback Offers.
• Design reusable decisioning strategies aligned with business objectives and personalization use cases.
• Validate offer delivery, decision execution, and personalization across supported channels.

2. Personalization Implementation:

• Implement personalized experiences using Adobe Journey Optimizer Decisioning, Adobe Web SDK, and Adobe Data Collection.
• Configure contextual, behavioral, and profile-based personalization using Real-Time Customer Profile.
• Configure decision logic using audiences, customer attributes, contextual signals, and business rules.
• Validate offer rendering using Adobe Experience Platform Debugger and browser developer tools.

3. Adobe Experience Platform (AEP):

• Configure datasets, schemas, identities, namespaces, datastreams, and sandboxes.
• Design XDM schemas and customer profile data models supporting decisioning use cases.
• Support Real-Time Customer Profile enablement, identity stitching, and merge policies.
• Support data ingestion through Web SDK, batch ingestion, streaming ingestion, and source connectors.

4. Data Integration & Validation:

• Work with data engineering teams to integrate customer data from CRM systems, Adobe Real-Time CDP, websites, mobile applications, and other enterprise platforms.
• Validate customer profiles, audience qualification, identity stitching, and decision inputs.
• Troubleshoot discrepancies across Adobe Experience Platform and Offer Decisioning implementations.

5. Stakeholder Collaboration:

• Gather personalization and decisioning requirements from business stakeholders.
• Translate business requirements into scalable technical solutions.
• Conduct solution workshops, client demonstrations, and knowledge transfer sessions.
• Recommend personalization strategies aligned with customer experience objectives.

6. Documentation & Best Practices:

• Solution Design Document
• Technical Specifications Document
• Business Requirements Document
• Test Cases
• Establish implementation standards and governance for Offer Decisioning solutions.

7. Optimization & Continuous Improvement:

• Recommend improvements to personalization strategies and decision effectiveness.
• Optimize offer eligibility, ranking strategies, business rules, and decision performance.
• Support migration from Adobe Target or legacy personalization platforms to Adobe Journey Optimizer Decisioning.
• Identify opportunities to leverage additional Adobe Experience Cloud capabilities.

8. Solution Design & Architecture:

• Lead solution design discussions for Adobe Journey Optimizer Decisioning (AJO-D), Offer Decisioning (OD), and Adobe Experience Platform (AEP) implementations.
• Define scalable personalization architectures, offer governance models, and reusable decisioning frameworks aligned with business objectives.
• Recommend best practices for offer management, identity resolution, data governance, and real-time personalization across Adobe Experience Cloud solutions.

9. Technical Solutioning & Consulting:

• Translate complex personalization and decisioning requirements into scalable technical solutions using Adobe Experience Cloud.
• Conduct solution workshops and provide functional and technical guidance to clients.
• Evaluate implementation approaches, identify trade-offs, and recommend optimal decisioning strategies based on business and technical considerations.
• Support estimation, solution planning, architecture reviews, and technical proposal development for new engagements.

10. Debugging & Troubleshooting:

• Lead troubleshooting of complex implementation issues across Adobe Journey Optimizer Decisioning, Adobe Experience Platform, Adobe Web SDK, and Adobe Data Collection.
• Perform end-to-end debugging using Adobe Experience Platform Debugger, browser developer tools, network request analysis, Web SDK logs, and Edge Network traces.
• Identify and resolve issues related to offer eligibility, ranking strategies, decision scopes, XDM mapping, profile qualification, identity stitching, audience qualification, and offer delivery.
• Collaborate with development and data engineering teams to perform root cause analysis and implement corrective actions.

11. Technical Leadership:

• Mentor consultants and analysts on Adobe Journey Optimizer Decisioning, Offer Decisioning, and Adobe Experience Platform implementation best practices.
• Review solution designs, decisioning strategies, implementation artifacts, and technical documentation.
• Drive adherence to implementation standards, governance, and personalization best practices.
• Support knowledge-sharing initiatives and contribute to capability development within the Adobe Experience Cloud practice.

Core Experience:

• 7+ years of experience in Adobe Experience Cloud implementations, personalization platforms, or digital experience solutions.
• Hands-on experience implementing Adobe Journey Optimizer Decisioning (AJO-D) / Offer Decisioning.
• Experience working in enterprise digital transformation projects.
• Hands-on experience with Adobe Journey Optimizer Decisioning, including Offer Collections, Offers, Placements, Decision Scopes, Decision Policies, Eligibility Rules, Ranking Strategies, Constraints, Fallback Offers, Offer Simulation, and Offer Delivery.
• Strong experience with Adobe Data Collection (Adobe Launch), including Adobe Web SDK, Tags, Rule Configuration, Data Elements, Extensions, Environment Management, Library Publishing, ACDL Implementation, XDM Mapping, Consent Configuration, Identity Service Integration, and AEP Debugger.
• Exposure to Adobe Experience Platform (AEP), including XDM schema design, identities, datasets, datastreams, Real-Time Customer Profile, data ingestion, source connectors, sandboxes, governance, and Query Service.
• Experience leading end-to-end Adobe Experience Cloud implementation projects across multiple workstreams.
• Strong experience in client consulting, solution architecture, technical solutioning, and implementation governance.
• Proven experience troubleshooting complex personalization implementations and resolving production issues.
• Experience mentoring junior team members and leading technical design discussions.

Technical Skills:

• JavaScript
• HTML
• CSS
• JSON
• SQL
• REST APIs
• Browser Developer Tools
• Adobe Experience Platform Debugger
• Network request validation
• Cookie management
• Adobe Experience Cloud Identity Service

Experience with:

• Offer strategy
• Offer governance
• Eligibility rules
• Ranking strategies
• Decision policies
• Decision scopes
• Real-time personalization
• Contextual targeting
• Profile-based targeting
• Audience qualification
• Identity resolution
• Customer segmentation
• Business rules
• Data modelling

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and client-facing abilities
• Experience working in Agile delivery environments
• Ability to work with cross-functional global teams
• Strong documentation and presentation skills
• Technical leadership and mentoring
• Solution architecture and design thinking
• Stakeholder and executive communication
• Estimation and effort planning
• Risk identification and mitigation

Preferred Qualifications:

• Adobe Certified Professional or Expert certifications in:
• Adobe Journey Optimizer
• Adobe Experience Platform
• Adobe Target (preferred)
• Scrum or Agile certification (preferred)

Good to Have:

• Adobe Real-Time CDP
• Adobe Customer Journey Analytics
• Adobe Analytics
• Adobe Target

Success Metrics:

• Successful implementation of Adobe Journey Optimizer Decisioning and Offer Decisioning solutions.
• Accurate and timely delivery of personalized customer experiences across digital channels.
• High-quality decisioning configurations with minimal production defects.
• Successful integration of customer data into Adobe Experience Platform.
• Improved personalization effectiveness through optimized offer strategies and decision policies.
• High stakeholder satisfaction and adoption of personalization capabilities.
• Successful delivery of complex Adobe Experience Cloud implementations.
• Reduced implementation defects and production issues through effective debugging and solutioning.
• High client satisfaction through technical leadership and advisory support.
• Successful mentoring and capability development of project teams.
• Delivery of scalable and reusable decisioning architectures aligned with enterprise standards.

Location and way of working:

• Base location: Bengaluru / Hyderabad / Mumbai
• Education: Professional Qualification - B.E./B.Tech/MCA/MBA/MS
• This profile involves occasional travelling to client locations.
• Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.