Associate Director, Content Capabilities – Innovation, DAM, Metadata, Content Intelligence

• 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
• Lead metadata QA processes, completeness standards, and governance workflows to ensure tagging accuracy and integrity
• Partner with content creation, operations, and agency teams to embed taxonomy standards within asset development and submission processes
• Define and execute enterprise content reuse strategy across brands, channels, and markets
• Establish reuse KPIs (e.g., reuse rate, duplicate asset reduction, time-to-find) and monitor performance
• Establish metadata schemas and tagging standards across DAM and connected platforms to support discoverability, reuse interoperability, and compliance.
• Lead the evolution of metadata and taxonomy capabilities to support AI-powered search, content recommendation, generative AI.
• Drive innovation initiatives that enhance content discoverability, automation, and operational efficiency.

• B.S. required; MS/MBA/PhD preferred.
• 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.
• Exceptional stakeholder management skills with demonstrated success influencing senior leaders and cross-functional teams in a large, matrixed organization.
• Excellent verbal and written communication; able to create clear component documentation, training materials, and executive presentations.
• Excellent communication and training skills required.

Demonstrates expertise in Digital Asset Management (DAM), metadata governance, and content lifecycle management, with a strong focus on taxonomy design and analytics integration to drive content discoverability and operational efficiency.

• Digital Asset Management (DAM)
• Metadata Governance
• Taxonomy Design
• Content Lifecycle Management
• Content Performance Measurement

• Metadata Frameworks
• Asset Lifecycle Management
• Content Technologies
• Analytics Integration
• KPI Definition
• Content Reuse Strategy
• Quality Assurance Processes
• Regulatory Compliance
• AI-Powered Search
• Content Activation

• Stakeholder Management
• Influencing Senior Leaders
• Communication Skills
• Training Skills
• Analytical Mindset

• Content Operations
• Digital Asset Governance
• Omnichannel Marketing
• Biopharmaceutical Industry
• Regulated Environments

• Adobe AEM Assets
• Veeva Vault
• Figma
• Marketing Analytics Tools