Solution Architect Lead

Role & responsibilities :

• Strategize and translate customer business requirements into a North Star architecture that the customers can anchor themselves against, recommending Adobe solutions to improve digital experiences where appropriate.
• Participate in efforts to resolve internal/external customer challenges
• Maintain solid governance, communication and organisational change with customer and internally within the Ultimate Success Organization, and Sales teams/other customer-facing teams
• Provide feedback to and have regular interaction with many teams across the organization, including Product Management, Engineering, Product Marketing, Service Marketing

Preferred candidate profile

• 10+ years of relevant experience.
• Deep knowledge of Adobe DX solutions (primarily AEM or Campaign and AEP + apps / CDP, CJA or AJO) and third party applications, including cross-solution use cases (e.g Personalisation, Intelligence & Measurement, or Campaign Orchestration) with a focus on enterprise architecture advisory and implementation to value realization.
• Possess an innovative attitude to solve complex problems and make impactful technical decisions.
• Ability to communicate complex ideas effectively verbally and in writing with both customers and internal Adobe
• Ability to identify and capture themes and needs that exist across multiple customers to create new ways of meeting customer needs that should become part of standard processes.
• Knowledge of enterprise application integration (EAI) concepts and standards (APIs, microservices, middleware) and AI / ML concepts to facilitate discussion on communication between customers enterprise applications.
• Strong interpersonal skills, emotional intelligence, and a consistent track record of building relationships and leading change with customers.
• Experience with ad technology (DMPs, DSPs, Ad servers, Ad Exchanges, Cross-Device Tracking platforms, etc.)
• Familiarity with system-of-record data environments (i.e. CRM systems, email platforms, data lakes)
• Familiarity with data warehousing and big data architectures and platforms (including data storage, movement, and security) to support developing an optimal physical and semantic data model