Responsibilities

• Build, lead, and evolve a high-performing team of DAM librarians, metadata specialists, and information management professionals responsible for the stewardship of enterprise content assets.
• Establish best-in-class practices for cataloging, indexing, taxonomy management, metadata governance, archival strategies, and knowledge organization.
• Serve as the organization's thought leader in information architecture, librarianship, metadata science, and digital knowledge management, driving content discoverability, reuse, AI readiness, and enterprise content value.
• Oversee migrations/bulk uploads and ongoing asset health, asset lifecycle management including ingestion, curation, archival, de-duplication, metadata completeness, and quality controls.
• Ensure proper rights and usage metadata is captured and enforced across all assets
• Own the end-to-end lifecycle of DAM platform, from initial implementation and configuration through ongoing support and enhancement
• Serve as business product owner for DAM, managing roadmaps, backlogs, releases, and vendor relationships (e.g. Adobe, Veeva, system integrators)
• Monitor DAM adoption, performance, usage analytics, and business impact metrics to continuously improve platform value and user engagement.
• Define and govern enterprise taxonomy frameworks, including controlled vocabularies aligned to channels, audiences, claims, and customer journeys
• Ensure consistent metadata capture at asset and component levels to support discoverability, reuse, and compliance

Requirements

• 5+ years of experience in content operations, DAM, marketing operations, or digital asset governance
• Deep working knowledge in DAM platforms (e.g., Adobe AEM Assets, Veeva Vault) and asset lifecycle management
• Proven experience designing and governing taxonomy, metadata frameworks, and tagging standards
• Strong understanding of content creation, approval, and distribution workflows in regulated environments
• Experience enabling content measurement through metadata, tagging, and analytics integration
• Experience with: Content technologies (Adobe, Veeva, Figma, etc.) & Marketing analytics, content performance measurement, and data-driven decision-making
• Ability to connect content structure (taxonomy/metadata) to business outcomes (performance, cost, speed)
• Analytical mindset with ability to define KPIs and translate data into actionable insights
• Familiarity with omnichannel marketing ecosystems and content activation
• Knowledge of content creation-to-approval workflows (MLR) and regulatory expectations in a biopharmaceutical or regulated industry.

Preferred

• Master's degree in Library & Information Science (MLIS), Information Management, Knowledge Management, Information Architecture, Digital Curation, or related field preferred.
• Experience leading DAM librarians, metadata specialists, information architects, or knowledge management professionals.
• Experience designing enterprise taxonomy, ontology, knowledge graph, or semantic metadata frameworks.
• Experience supporting AI-enabled content ecosystems, intelligent search, or content intelligence platforms.
• Deep marketing experience in pharmaceutical, biotech, or regulated industries — including brand launches, lifecycle campaigns, and omnichannel content activation.
• Familiarity with agile product delivery, vendor management, and enterprise technology governance.