Staff Content Architect

About the role

The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for creating and delivering self-service content for LinkedIn’s members, customers, and employees. The team creates instructional, procedural, and technical content using both traditional and AI-powered methods. This content is made available externally through LinkedIn's help centers, virtual chat assistants, and in-product experiences (including those powered by AI/GAI), and internally through enterprise search systems and CRMs.

Responsibilities

• Serve as the single accountable owner for the KMS DITA content model, driving design, governance, and ongoing evolution to ensure scalability, reuse, and long-term system integrity
• Define and enforce structural standards, metadata models, taxonomy alignment, and reuse strategies; partner closely with the Taxonomist to ensure consistent and scalable classification and controlled vocabularies
• Partner with Content Strategy leads and teams to align content architecture with user needs, editorial intent, and business goals—translating content strategy into scalable structural design
• Translate content and data model into operational implementations (templates, authoring patterns, validation rules, workflows), ensuring consistent adoption across authors, teams, and partners
• Establish and enforce governance frameworks, review mechanisms, and escalation paths to prevent structural drift, duplication, and deviation from defined standards across internal and external contributors
• Design content structures optimized for AI, search, and automation; partner with Engineering, Search, and AI teams to improve discoverability, retrieval accuracy, and overall content performance
• Define durable integration patterns across AEM Guides, Help Center, CRM systems, content data platforms, and AI pipelines to ensure seamless interoperability across the ecosystem
• Lead architectural alignment across transformation initiatives (AEM Guides, Help Center redesign, AI-driven support), including defining strategies for migration, normalization, and legacy content rationalization
• Partner with Product, Content Strategy, and Engineering to ensure content architecture decisions enable intuitive, efficient authoring experiences and reduce reliance on manual workarounds
• Drive measurable impact by improving content reuse, reducing translation costs, and scaling operations; define and track architecture health metrics (e.g., reuse efficiency, metadata consistency, search effectiveness, authoring efficiency)
• Reduce long-term risk and reliance on external consultants by establishing durable internal frameworks, standards, and governance models for content architecture

Qualifications

• Bachelor’s degree in Computer Science, Information Architecture, Content Engineering or related field
• 8+ years of experience in content architecture, knowledge management, content systems, or structured authoring
• 8+ years in DITA (structured content methodology) and topic-based authoring
• 5+ years of experience working with enterprise content management systems such as AEM Guides
• 5+ years of experience designing metadata models, taxonomy, and content reuse strategies
• 5+ years of demonstrated ability to lead and influence cross-functional stakeholders without direct authority

Preferred Qualifications

• Experience building or governing content models for AI/ML-powered systems or conversational interfaces
• Strong understanding of the content lifecycle across authoring, publishing, localization, and consumption
• Experience designing integrations across content ecosystems, data platforms, and downstream systems
• Experience collaborating with taxonomy and metadata specialists to design scalable classification and retrieval systems
• Familiarity with search optimization, semantic tagging, and knowledge graph concepts
• Experience driving cross-team adoption of structured content models across distributed authoring teams and external partners
• Strong analytical and systems thinking mindset
• Excellent stakeholder management and executive communication skills