Lead Enterprise Architect

dentsuaegis; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

CDS is seeking a Lead Enterprise Architect to lead the technical strategy for Adobe Experience Cloud implementations across data, content, and customer journey domains. This role serves as the authoritative voice on architectural decisions, platform integration, and scalability for enterprise performance and growth.

You'll drive AI and generative capabilities integration, translate business requirements into target-state architectures, and mentor solution architects.

Qualifications

• Translate business requirements into target-state architectures for Adobe Experience Cloud.
• Design scalable, resilient solutions balancing functionality, performance, and cost.
• Establish data governance, identity resolution, and personalization frameworks for clients.

Responsibilities

• Owns technical vision and strategy for assigned accounts.
• Lead discovery workshops and define target-state architectures incorporating generative AI.
• Mentor architects and stay current on Adobe ecosystem and AI capabilities.

Skills

AI strategy

Architecture design

Platform integration

Data governance

Identity resolution

Personalization engines

Mentoring

Tools

GenStudio

Firefly

Adobe Experience Cloud

Snowflake

Databricks

Job description

Job Description:

The Lead Enterprise Architect is CDS's technical strategy leader for Adobe Experience Cloud implementations across the data, content, and customer journey domains. This role is the authoritative voice on architectural decisions, platform integration, technical feasibility, and scalability-ensuring that solutions are designed for enterprise performance, reliability, and growth. In an increasingly AI-driven landscape, Enterprise Architects lead the integration of generative AI and predictive capabilities across the Adobe ecosystem, advising clients on how AI accelerates content creation, personalization, decisioning, and operational efficiency.

Lead Enterprise Architects own the end-to-end technical vision for complex, multi-platform implementations. They translate business requirements and technical constraints into robust, scalable architectures that leverage Adobe's ecosystem (Experience Platform, Real-Time CDP, Journey Optimizer, Content Management, GenStudio, Firefly) alongside complementary data and marketing technology stacks.

This role partners closely with Engagement Leads to deliver strategic advisory and technical confidence in all engagements, with growing emphasis on AI and generative capabilities as table-stakes in modern customer experience platforms.

Lead Enterprise Architects are proactive technologists who combine deep platform expertise with business acumen and forward-looking AI fluency. They are conversant in modern data architecture, identity resolution, personalization engines, marketing technology orchestration, and generative AI applications (content creation, AI-driven decisioning, predictive analytics). They use architectural frameworks and patterns to reduce complexity, mitigate risk, and accelerate time-to-value while managing responsible AI practices. They mentor and empower solution architects and technical teams, and they stay current on emerging capabilities and best practices across the Adobe ecosystem and adjacent platforms.

Responsibility Areas

Technical Strategy & Architectural Design

• Owns technical vision and strategy for a portfolio of accounts or organization-wide architectural standards; sets architectural direction including AI integration patterns; senior advisor to executive teams on AI strategy; thought leader and mentor to other architects
• Lead discovery and assessment workshops to understand client business drivers, technical constraints, current-state platforms, data maturity, and content operation challenges; define target-state architectures that incorporate generative AI opportunities
• Design scalable, resilient solutions that balance functionality, performance, cost, and time-to-market; document architectural decisions and trade-offs clearly, including AI readiness and governance considerations
• Establish data governance, identity resolution, activation, personalization, and measurement frameworks tailored to client maturity and business objectives; assess opportunities for AI-driven decisioning and predictive insights
• Advise on platform selection, technology roadmapping, and make/buy decisions within the Adobe ecosystem and broader martech/data stack; include evaluation of GenStudio and Firefly capabilities for content workflows
• Design responsible AI guardrails and governance frameworks: model transparency, bias mitigation, compliance with regulatory requirements, and ethical AI practices

GenStudio, Firefly & Generative AI Integration

• Maintain expert-level working knowledge of Adobe GenStudio for enterprise content creation, brand asset management, and workflow automation; understand content moderation, version control, and rights management
• Advise on Firefly (generative imagery and design) and other generative AI capabilities within Experience Cloud; assess where AI-driven content generation reduces time-to-market and improves personalization at scale - Design architectures that integrate GenStudio outputs with Journey Optimizer, Experience Manager, and Real-Time CDP for AI-assisted content personalization and dynamic creative optimization
• Guide clients on managing generative AI in regulated industries; advise on model governance, content authenticity, disclosure requirements, and brand safety
• Stay current on new generative and predictive AI capabilities across Adobe's roadmap and emerging third party AI tools; evaluate integration opportunities and competitive positioning
• Lead conversations with clients on AI maturity assessment: readiness for generative content, data quality for model training, team capability, and change management

Platform Expertise & Fluency

• Maintain expert-level working knowledge of Adobe Experience Cloud: Experience Platform (XDM, data lakes, activation), Real-Time CDP, Journey Optimizer (orchestration, AI-driven decisioning), Content Management, GenStudio, Firefly, Analytics, and audience segmentation
• Understand how AEC integrates with cloud data warehouses (Snowflake, Databricks, BigQu