Enterprise Architect

Enterprise Architect The 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. Enterprise Architects own the end‑to‑end technical vision for complex, multi‑platform implementations, translating 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. Responsibility Areas Technical Strategy & Architectural Design Own the technical strategy and reference architecture for assigned accounts or practice areas, spanning Adobe Experience Cloud components including Experience Platform, Real‑Time CDP, Journey Optimizer, Content Management, GenStudio, and Analytics. 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, Content Management, GenStudio, Firefly, Analytics, and audience segmentation. Understand how AEC integrates with cloud data warehouses (Snowflake, Databricks, BigQuery), identity resolution solutions, customer data platforms, and third‑party AI/ML platforms. Stay current on Adobe product roadmaps, new capabilities (including AI feature releases), and release timelines; bring informed perspectives on how emerging generative and predictive AI addresses client challenges. Translate vendor documentation, release notes, AI capability announcements, and best practices into actionable client guidance. Maintain hands‑on familiarity with AEC configuration, APIs, connectors, and AI features; stay fluent enough to evaluate feasibility and guide implementation approaches. Delivery Enablement & Technical Leadership Serve as the escalation point and technical authority for complex implementation challenges, including novel uses of generative AI; drive resolution of architectural, technical, or AI‑readiness risks. Partner with solution architects, engineers, and delivery leads to ensure designs are implemented as intended, quality standards are met, and AI‑driven components deliver expected business outcomes. Define and communicate non‑functional requirements (performance, scalability, security, compliance, responsible AI governance) and acceptance criteria for technical work. Conduct design reviews, code reviews (where appropriate), and architecture audits to ensure adherence to standards and best practices, including AI model governance and content authenticity controls. Mentor solution architects, engineers, and other team members on architectural thinking, platform capabilities, responsible AI practices, and emerging patterns. Client Advisory & Thought Leadership Engage directly with client technology stakeholders and C‑suite to frame technical strategy—including AI opportunity and risk—in business terms. Bring outside‑in perspective from the market, partner ecosystem, industry trends, and emerging AI capabilities into client conversations. Lead business review discussions on technical health, capability expansion, AI readiness, and strategic roadmap alignment. Develop and share client‑facing technical narratives, architecture diagrams, and capability roadmaps that link to business outcomes, including AI‑driven efficiency and personalization gains. Educate clients on generative AI maturity levels: where their organizations stand, what investments are needed, and how to measure ROI on AI initiatives. Contribute to internal and external thought leadership on Adobe, data architecture, generative AI application, responsible AI practices, and martech topics. Efficiency, Innovation & AI‑Driven Practice Drive continuous improvement in engagement delivery through architectural patterns, reusable components, and automation—including AI‑assisted tools for design, documentation, and client reporting. Use AI tools as a core productivity multiplier: leverage GenAI for architecture documentation, proposal generation, client narrative development, and research synthesis. Build and maintain a library of reference architectures, decision frameworks, playbooks, and AI use case patterns for common client scenarios. Evaluate emerging generative and predictive AI tools (both Adobe and third‑party) that can accelerate solution design, implementation, or operational efficiency; pilot and share learnings with the team. Collaborate with other Enterprise Architects to codify best practices, maintain architectural standards, and establish governance frameworks for responsible AI use across the practice. Qualifications Required 12+ years of experience in technology implementation, architecture, or consulting with at least 4+ years in a senior technical leadership or architecture role. Deep expertise in modern data architecture and marketing technology stacks; working knowledge of cloud data warehouses (Snowflake, Databricks, BigQuery, Microsoft Fabric). Senior‑level fluency in Adobe Experience Platform, Real‑Time CDP, Journey Optimizer, or comparable customer experience / CDP platforms; able to lead capability and integration conversations without relying on a technical translator. Working knowledge of generative AI and large language models (LLMs); practical experience evaluating or implementing generative AI tools; understanding of AI governance, bias mitigation, and responsible AI practices. Proven track record designing and delivering large‑scale, multi‑platform integrations for enterprise clients. Experience leading architecture and design activities in cross‑functional delivery teams (architects, engineers, product, client technical teams). Strong communication skills: able to translate technical and AI complexity into executive‑level narratives and work fluently with technical and non‑technical stakeholders. Excellent critical thinking, structured problem‑solving, and ability to balance trade‑offs across performance, cost, complexity, time‑to‑market, and responsible AI governance. Familiarity with enterprise architectural frameworks and patterns (data mesh, domain‑driven design, enterprise integration patterns, etc.). Active, hands‑on engagement with AI tools as part of your technical practice: research synthesis, documentation, code generation, design, and responsible AI evaluation. Preferred and Differentiators Adobe Certified Professional or Advanced certification (Experience Platform, Real‑Time CDP, Journey Optimizer, Analytics, GenStudio). Hands‑on experience with Adobe GenStudio, Firefly, or other Adobe AI/generative capabilities. Active participation in Adobe Champion, Developer Community, or partner ecosystem programs with focus on AI/generative capabilities. Certifications in cloud data warehouse platforms (SnowPro, Databricks Lakehouse Fundamentals, Google Cloud Architect, etc.). Experience architecting AI applications: model governance, responsible AI frameworks, bias detection and mitigation, explainability. Experience architecting identity resolution and data governance frameworks. Published thought leadership on generative AI, responsible AI practices, or AI in marketing/customer experience contexts. Speaking engagements at industry conferences on data architecture, AI application, or martech topics. Experience in a consultancy, systems integrator, or enterprise software services firm. Background or certification in enterprise solution architecture (ITIL, TOGAF, or similar frameworks). Track record mentoring junior architects or leading architectural communities of practice. Experience with agile and modern delivery methodologies in complex, multi‑vendor environments. Advanced degree (Master's) in Computer Science, Data Science, AI/ML, Business Administration, or related field. Salary and Benefits Annual salary range: $113,000 – $132,500. Position is subject to applicable benefit eligibility. Medical, vision, and dental insurance. Life insurance. Short‑term and long‑term disability insurance. 401(k) retirement plan. Flexible paid time off. At least 15 paid holidays per year. Paid sick and safe leave. Paid parental leave. Location and Work Arrangement USA – Remote – Texas – Central Time. Remote work policies apply; employees may be required to work from a hub office two or three days per week depending on location. EEO Statement Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex, sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to individuals with disabilities and disabled veterans. Accommodations can be requested by emailing View email address on click.appcast.io. #J-18808-Ljbffr