Website:
commergence.in
Job details:
Job Description: Enterprise Architect (Adobe Experience Cloud)/MSA
Position Summary
As an
Enterprise Architect – Adobe Experience Cloud, you will define and deliver enterprise-scale digital experience architectures powered by Adobe Experience Cloud, AI/ML capabilities, and modern cloud platforms.
You will collaborate with senior business and technology leaders to shape strategy, architecture roadmaps, and operating models that drive measurable customer and business outcomes. Combining deep expertise in enterprise architecture with data, AI, and cloud-native principles, you will design future-ready solutions spanning customer data foundations, intelligent decisioning, and personalized omnichannel experiences.
As a trusted advisor, you will guide clients through digital, data, and AI transformation—ensuring alignment between business goals, technology investments, and execution strategies.
Success In This Role Is Measured By
- Customer value realization and platform adoption
- Quality, scalability, and feasibility of architectures
- Clarity and impact of strategic roadmaps
- Improvement in business KPIs
- Strength of executive stakeholder relationships
The Opportunity
Digital disruption is transforming every phase of the customer lifecycle. Leading organizations are leveraging
Adobe Experience Cloud and AI-driven experiences to remain competitive.
The
Enterprise Architecture team at Adobe partners with organizations to:
- Define digital, data, and AI strategies at the executive level
- Design architectures connecting content, data, insights, and activation
- Enable cloud-native, API-first, and event-driven ecosystems
As An Enterprise Architect, You Will
- Translate business strategy into digital and AI roadmaps
- Lead engagements as a subject matter expert
- Act as a trusted advisor across business, data, and technology teams
Key Responsibilities - Shape Digital, Data & AI Strategy
- Partner with executive stakeholders to define digital experience, customer data, and AI/ML strategies
- Translate business vision into actionable, multi-year architecture roadmaps
- Identify business drivers, KPIs, and value hypotheses
- Prioritize high-impact use cases such as personalization, journey orchestration, next-best action, and marketing optimization
- Design Enterprise & Solution Architectures
- Architect end-to-end solutions across Adobe Experience Cloud and enterprise ecosystems
- Define AI- and data-centric architectures, including:
- Customer data platforms (CDP), identity, and profile management
- Data ingestion, quality, governance, and activation frameworks
- Recommend future-state architectures using cloud-native principles:
- API-first, microservices, event-driven, serverless
- Design secure and scalable architectures across Azure, AWS, or other public clouds
- Establish reference architectures covering:
- Security (zero-trust, IAM)
- Observability and reliability
- Drive Alignment & Governance
- Align business strategy with enterprise architecture and delivery teams
- Define governance models, standards, and architecture review processes
- Establish operating models to support sustainable adoption
- Act as a liaison between business stakeholders, IT teams, data teams, and external partners
- Communicate & Evangelize
- Present architecture strategies, trade-offs, and recommendations to senior leadership
- Lead workshops, visioning sessions, and roadmap discussions
- Build compelling narratives using visuals and business value framing
- Advocate for AI-driven, data-led digital transformation
- Contribute to Practice Growth
- Develop reusable assets (reference architectures, templates, accelerators)
- Mentor architects and consultants on best practices
- Support pre-sales activities including solutioning, proposals, and executive presentations
- Strengthen Adobe’s Enterprise Architecture capabilities and thought leadership
Required Qualifications - Proven experience developing enterprise architecture models
- Strong knowledge of architecture frameworks (TOGAF, API, SOA)
- Hands-on experience with public cloud platforms (Azure and/or AWS)
- Experience designing or integrating AI-powered solutions, including:
- LLM concepts (prompt design, Retrieval-Augmented Generation (RAG), evaluation strategies)
- Understanding of:
- Agentic workflows and tool-using agents
- Reliability, observability, and governance in AI systems
- Ability to translate business vision into scalable technical architectures
- Strong executive communication and stakeholder management skills
- Experience collaborating with:
- Software engineers
- Data architects and data scientists
- Application developers
- Excellent verbal and written communication skills
Preferred Qualifications
- Experience with Adobe Experience Cloud or related digital marketing platforms
- Experience in customer data platforms, personalization, or marketing technology ecosystems
Skills: msa,adobe,enterprise
Click on Apply to know more.