Digital Asset Management; DAM) Solutions Architect - AI

• Full-time
• Department:
  Digital & Technology
• Job Family:
  Information Systems
• Compensation: USD 140,000 - USD 206,000 - yearly

EVERSANA INTOUCH®is a global, full-service marketing agency network serving the life sciences industry, and is the first – and only – agency network to be part of a fully integrated commercialization platform through EVERSANA®. We provide next-generation creative and media services, enterprise solutions and data analytics services for clients.

We get fired up when people talk about getting—and staying—healthy. That’s where we find our inspiration: in the very human experiences of patients, doctors, and even each other. Then, we collaborate on ways to make caring for one’s health more achievable, connecting patients and physicians with the information and tools they need.

We embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.

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.

• 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.
• 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…