Associate Director, Content Capabilities & Innovation (DAM, Metadata and Content Intelligence)

New Jersey, USA (Hybrid)

$122K/yr – $213K/yrSenior Level5+ years expFull time

Posted 9 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own the DAM program from governance to platform delivery, leading a team of DAM librarians, metadata specialists, and information management professionals. Drive taxonomy, metadata standards, content reuse, and AI-ready architectures, manage roadmaps, adoption, and vendor relationships, and measure impact.

  • Own end-to-end lifecycle of DAM platform, from implementation to enhancements
  • Lead governance for taxonomy, metadata, tagging, and data quality
  • Drive content reuse, asset optimization, and AI-enabled content intelligence

Job Description

Responsibilities

  • Information Architecture & Digital Asset Management Leadership, Execution & Platform Ownership : 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.
  • Taxonomy, Metadata & Tagging Governance : 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 Align taxonomy with enterprise data and measurement requirements to ensure interoperability across systems Drive adoption and accountability across operational teams and vendor partners through governance, training, and performance management.
  • Content Reuse & Asset Optimization: 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 Ensure assets are created with reuse in mind, including modular components, variants, and source files Partner with agencies and brand teams to enforce reusable asset standards and reduce redundant production Drive continuous improvement of asset discoverability and usability through tagging and curation
  • Content Intelligence & Measurement Enablement: 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. Evaluate emerging technologies and industry best practices in DAM, knowledge management, information retrieval, and content intelligence. Drive innovation initiatives that enhance content discoverability, automation, and operational efficiency. Establish scalable foundations for AI-ready content ecosystems through structured metadata and taxonomy governance. Partner with enterprise technology teams to advance semantic search, automated tagging, knowledge graphs, and intelligent content services. Partner with Analytics and Omnichannel teams to enable reporting on Content performance, Asset effectiveness (message, format, channel), Reuse and duplication Enable integration of content data across paid, owned, and CRM ecosystems for holistic performance measurement Support development of dashboards and performance scorecards by ensuring high-quality, complete, and structured metadata

Requirements

  • Education: 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

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.

Benefits

  • Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave – 80 hours in a 52-week rolling period10 days Volunteer Leave – 32 hours per calendar year Military Spouse Time-Off – 80 hours per calendar year For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
Johnson & Johnson Innovative Medicine logo

Johnson & Johnson Innovative Medicine

At Johnson & Johnson Innovative Medicine, we innovate with purpose, to lead where medicine is going. The experiences of patients around the world inform and inspire our science-based innovations, which continue to change and save lives. Applying rigorous science with compassion, we confidently address the most complex diseases of our time and develop the potential medicines of tomorrow. We are continuously working to develop treatments, aspiring to find cures, pioneering the path from lab to life, and championing patients every step of the way. https://bit.ly/3reuMvK

37K employees (745 in marketing)

Traffic Signals

Monthly Visitors
2.2M
Monthly Google Ads Budget
$312.6K
Traffic Source Mix
Search
36.1%
Direct
46.5%
Referral
15%
Social
1.3%
Paid
0.9%

Headcount Trend

Current headcount: ~37.3K

Marketing Team

Marketing Team Size
686 (2% of company)
Median Career Experience
24 years
Median Tenure
13.5 years
Marketing Roles Posted (Last 30 Days)
21

Recent News