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Job Function:
Digital MarketingJob Sub Function:
Digital EngagementJob Category:
People LeaderAll Job Posting Locations:
Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob Description:
Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, Content Capabilities & Innovation (DAM, Metadata and Content Intelligence), to be based in Horsham, PA or Titusville, NJ.
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Purpose: The Associate Director, Content Capabilities & Innovation (DAM, Metadata & Content Intelligence) is a strategic leader responsible for transforming how Johnson & Johnson Innovative Medicine manages, discovers, reuses, and activates content at enterprise scale.
This role serves as the architect of the organization's content intelligence ecosystem, leading Digital Asset Management (DAM), metadata and taxonomy governance, content discoverability, and information architecture capabilities that power omnichannel engagement.
Reporting to the Director, Content Excellence & Innovation, this leader oversees the DAM librarian function and partners across Marketing, Omnichannel, Analytics, Content Operations, Technology, and agency partners to ensure content assets are structured, governed, measurable, and optimized for reuse.
This is a highly visible leadership role with the opportunity to shape enterprise content strategy, drive operational excellence, accelerate AI-enabled content discovery, and establish industry-leading practices in digital asset management and knowledge organization.
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
Cross-Functional Integration & Governance:
Influence enterprise content governance decisions across multiple business functions and brands.
Partner with Content Operations, Platforms/Product teams (system integrations and requirements), Analytics & Insights (measurement frameworks and KPIs), Brand and Omnichannel teams (adoption and compliance), Agencies (asset creation standards and taxonomy implementation)
Provide training and enablement on DAM usage, metadata standards, and governance processes
Provide strong leadership, guidance, and mentorship to operational teams including DAM librarians and outsourced vendor partners
Establish governance forums, standards, and operating cadences to ensure alignment, adoption, and continuous improvement
Act as advocate for data integrity, proactively identifying and resolving gaps in metadata and asset quality
Education:
B.S. required; MS/MBA/PhD preferred.
Required:
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
Preferred Qualifications
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.
Other:
This role is based in Horsham, PA or Titusville, NJ and may require up to 10% domestic travel
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
#LI-Hybrid
Required Skills:
Preferred Skills:
Cross-Functional Collaboration, Customer Analytics, Customer Engagement, Developing Others, Digital Governance, Digital Marketing, Digital Trends, Digital Visualization, Digital Well-Being, Inclusive Leadership, Innovation, Leadership, Motivating People, Organizational Communications, Organizational Knowledge, Performance Measurement
The anticipated base pay range for this position is :
$122,000.00 - $212,750.00Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).$122,000.00 — $212,750.00
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