Digital Asset Management (DAM) Solutions Architect - AI

We are seeking a Digital Asset Management (DAM) Solutions Architect to lead the design, configuration, integration, and evolution of digital asset management capabilities supporting modern content operations and AI-enabled content workflows. This role sits at the intersection of technology architecture, content operations, information architecture, and digital publishing. The ideal candidate combines hands-on knowledge of enterprise DAM platforms with a strong understanding of taxonomy, metadata, digital rights, content lifecycle management, publishing requirements, and integration with upstream and downstream enterprise systems. The DAM Solutions Architect will help translate business and content requirements into scalable DAM solutions-including metadata models, taxonomy structures, asset organization, workflow, governance, publishing patterns, and system integrations. This role will also help establish DAM and content-management standards that enable content to be discoverable, reusable, interoperable, governed, and consumable by both human users and AI-enabled platforms and workflows. **ESSENTIAL DUTIES AND RESPONSIBILITIES:** Our employees are tasked with delivering excellent business results through the efforts of their teams. These results are achieved by: **DAM Architecture & Configuration** - Design and configure enterprise DAM solutions aligned to business, content, publishing, and technology requirements. - Define asset structures, content models, folder and collection strategies, permissions, workflows, renditions, and lifecycle rules. - Assess existing DAM implementations and identify opportunities to improve scalability, usability, governance, and interoperability. - Translate business and content-management requirements into functional and technical DAM specifications. - Establish patterns supporting modular content, source assets, derivatives, channel-specific renditions, and packaged digital deliverables. - Support migration and onboarding of existing content and assets into DAM environments. **Taxonomy, Metadata & Information Architecture** - Design and maintain scalable **metadata schemas, taxonomies, controlled vocabularies, and tagging strategies**. - Establish standards for descriptive, structural, operational, technical, compliance, attribution, and rights-management metadata. - Define relationships between asset-level attributes, taxonomy values, keywords, tags, and other content classifications. - Develop metadata strategies that improve search, discovery, reuse, automation, and reporting. - Establish approaches for capturing **AI-related content provenance and attribution**, including generated or AI-modified content where applicable. - Ensure metadata and taxonomy models can evolve as new brands, markets, channels, content types, and use cases are introduced. **Content Lifecycle, Governance & Digital Rights** - Define and document content and asset lifecycle processes from creation and approval through publication, reuse, expiration, archival, and retirement. - Establish governance standards for metadata quality, taxonomy management, asset stewardship, and content hygiene. - Design approaches for managing digital rights, including licensing, usage restrictions, geography, channel, talent, expiration, and other rights-related attributes. - Partner with content operations and business stakeholders to define roles and responsibilities for ongoing DAM governance and asset stewardship. - Help establish operating models for DAM administrators, content owners, librarians, and other asset-management roles. **Digital Publishing & Content Supply Chain** - Understand digital publishing requirements across web, email, social, media, CRM, and other digital channels. - Define requirements for asset transformation, renditions, packaging, distribution, and downstream consumption. - Design DAM capabilities supporting modular and omnichannel content operations. - Ensure DAM architecture supports the movement of assets throughout the content supply chain-from creation and approval through publishing and activation. - Partner with creative, content, marketing operations, and technology teams to establish scalable publishing patterns. **Systems Integration** - Design integration patterns between DAM platforms and upstream/downstream enterprise systems. - Define APIs, events, webhooks, metadata mappings, authentication requirements, asset-transfer patterns, and integration contracts. - Support integration with systems such as: - Content creation and design platforms - Content management systems (CMS) - Marketing workflow/project-management platforms - Medical/legal/regulatory review and approval platforms - Claims-management solutions - CRM and marketing automation platforms - Omnichannel orchestration and activation platforms - AI-enabled content-generation and content-management solutions - Define appropriate integration triggers, audit requirements, exception handling, retry processing, and operational monitoring. - Work closely with engineering teams to translate architectural designs into implementation-ready specifications. **AI-Enabled Content Operations** - Help design DAM capabilities that support AI-enabled content generation, retrieval, reuse, and automation. - Establish metadata and content structures that enable assets to provide reliable context to AI applications and agents. - Define approaches for distinguishing and governing human-created, AI-generated, and AI-modified content. - Partner with AI/product teams to establish integration patterns between DAM platforms and AI-enabled content platforms. - Identify opportunities to use AI to improve tagging, classification, metadata enrichment, asset discovery, and content operations while maintaining appropriate governance and human oversight. **Qualifications** **MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:** The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. - Significant experience designing, implementing, configuring, or architecting enterprise Digital Asset Management solutions. - Strong understanding of DAM taxonomy, metadata architecture, controlled vocabularies, tagging, and information architecture. - Experience with enterprise DAM platforms such as Adobe Experience Manager Assets / Adobe Assets, Aprimo, Bynder, Acquia DAM, Sitecore Content Hub, or comparable platforms. - Strong understanding of digital content lifecycle management and content supply-chain processes. - Experience designing integrations using REST APIs, events, webhooks, middleware, and related enterprise integration patterns. - Understanding of digital publishing requirements across multiple channels and content formats. - Experience with asset renditions, transformations, derivatives, packaging, and distribution. - Working knowledge of digital rights management and content governance. - Ability to translate business and operational requirements into scalable technical and information-architecture solutions. - Experience collaborating across business, creative, content operations, product, engineering, and technology teams. - Strong documentation and communication skills, including the ability to develop architecture diagrams, metadata models, integration specifications, and governance standards. **PREFERRED QUALIFICATIONS:** - Experience with Adobe Experience Manager Assets / Adobe Assets and the broader Adobe ecosystem. - Experience integrating DAM with workflow, regulatory review, CRM, CMS, marketing automation, or omnichannel platforms. - Experience with Veeva PromoMats, Veeva Vault, Adobe Workfront, Figma, Adobe Journey Optimizer, or comparable enterprise platforms. - Experience within life sciences, pharmaceutical, or another highly regulated industry. - Familiarity with medical/legal/regulatory (MLR) content-review processes. - Experience supporting modular content and omnichannel content strategies. - Familiarity with generative AI, semantic search, embeddings, knowledge retrieval, and AI-enabled content operations. - Experience defining content provenance, attribution, or AI-related metadata standards. - Experience working with cloud-native architectures and modern API-based integration patterns.