Digital Asset Management Solutions Architect – AI

🔥 1 minute ago

🌪️ Kansas, Missouri – Remote

🌪️ Kansas – Remote 🏰 Missouri – Remote

💵 $140k - $206k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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EVERSANA

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

EVERSANA is a comprehensive service provider focused on integrated commercial solutions for the life sciences industry. The company offers a wide range of services including advisory and management consulting, regulatory consulting, patient services, market access strategies, pricing and revenue management, medical affairs, and digital transformation. EVERSANA is known for its expertise in drug commercialization, enabling companies to effectively launch and manage pharmaceutical products. With a platform powered by data and analytics, EVERSANA addresses challenges related to drug pricing, market access, patient adherence, and product delivery, helping companies optimize their commercial strategies and enhance patient outcomes. The company emphasizes innovation and has been recognized for its use of AI and data analytics within the life sciences sector.

📋 Description

• Lead the design, configuration, integration, and evolution of digital asset management capabilities • 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 for modular content, source assets, derivatives, channel-specific renditions, and packaged digital deliverables • Support migration and onboarding of existing content and assets into DAM environments • Design and maintain metadata schemas, taxonomies, controlled vocabularies, and tagging strategies • Establish metadata standards covering descriptive, structural, operational, technical, compliance, attribution, and rights-management data • Define 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 and usage restrictions • Understand digital publishing requirements across web, email, social, media, CRM, and other channels • Define requirements for asset transformation, renditions, packaging, distribution, and downstream consumption • 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 integrations with content creation, CMS, marketing workflow, regulatory review, claims-management, CRM, marketing automation, omnichannel, and AI-enabled platforms • Define integration triggers, audit requirements, exception handling, retry processing, and operational monitoring • Work with engineering teams to translate architectural designs into implementation-ready specifications • Help design DAM capabilities supporting AI-enabled content generation, retrieval, reuse, and automation • Establish content structures enabling reliable context for AI applications and agents • Define governance approaches for human-created, AI-generated, and AI-modified content • Partner with AI/product teams on DAM and AI-platform integration patterns • Identify opportunities to use AI for tagging, classification, metadata enrichment, asset discovery, and content operations with appropriate governance and human oversight

🎯 Requirements

• 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 architecture diagrams, metadata models, integration specifications, and governance standards • Preferred: experience with Adobe Experience Manager Assets / Adobe Assets and broader Adobe ecosystem • Preferred: experience integrating DAM with workflow, regulatory review, CRM, CMS, marketing automation, or omnichannel platforms • Preferred: experience with Veeva PromoMats, Veeva Vault, Adobe Workfront, Figma, Adobe Journey Optimizer, or comparable enterprise platforms • Preferred: experience in life sciences, pharmaceutical, or another highly regulated industry • Preferred: familiarity with medical/legal/regulatory content-review processes • Preferred: experience supporting modular content and omnichannel content strategies • Preferred: familiarity with generative AI, semantic search, embeddings, knowledge retrieval, and AI-enabled content operations • Preferred: experience defining content provenance, attribution, or AI-related metadata standards • Preferred: experience with cloud-native architectures and modern API-based integration patterns

🏖️ Benefits

• Competitive salaries and benefits • Remote work option • Reasonable accommodation during the hiring process • Equal opportunity employment