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Skills
Artificial Intelligence (AI)unmatched
Change Managementunmatched
Consultingunmatched
Content Developmentunmatched
Content Managementunmatched
Documentationunmatched
Documentation Modelsunmatched
Documentation Standardsunmatched
Information Architectureunmatched
Internet Securityunmatched
Knowledge Managementunmatched
Machine Toolunmatched
Metadataunmatched
Metricsunmatched
Microsoft SharePointunmatched
Model Reviewunmatched
Operations Managementunmatched
Process Analysisunmatched
Process Improvementunmatched
Process Modelingunmatched
Product Engineeringunmatched
Publicationsunmatched
Software as a Service (SaaS)unmatched
Taxonomiesunmatched
Technical Supportunmatched
Technical Writingunmatched
United States Citizenunmatched
Use Casesunmatched
Description
Overview The consultant will lead the modernization of the user documentation operating model across a cybersecurity product portfolio. The role assesses current documentation processes, tools, governance, and content lifecycle, then designs and establishes the foundation for a scalable, AI-assisted approach that improves efficiency, consistency, and quality while maintaining rigorous standards for technical accuracy and accountability. Scope of Work
Assess the current state of user documentation across processes, workflows, tooling, governance, and content health.
Design a future-state, AI-first documentation operating model that improves content creation, maintenance, reuse, and governance.
Establish documentation standards, information architecture, taxonomy, metadata, versioning, and content lifecycle practices.
Identify and pilot high-value AI use cases across drafting, summarization, content reuse, maintenance, and knowledge management.
Evaluate and recommend improvements to documentation platforms, workflows, and integrations.
Define governance frameworks, ownership models, review processes, and content health metrics.
Partner with Product, Engineering, Support, and Technical Writing teams to drive adoption and enable new ways of working.
Deliver recommendations, implementation roadmaps, playbooks, and practical solutions that can be sustained beyond the engagement.
Expected Deliverables
A documented AI-first future-state documentation operating model.
An end-to-end content lifecycle framework: creation, review, approval, publication, maintenance, measurement, archival, and retirement.
Piloted AI-assisted workflows with recommendations for broader adoption.
Clear governance, ownership, accountability, and content standards.
A standardized approach to information architecture, taxonomy, metadata, and content reuse.
Tooling and process recommendations to improve efficiency, consistency, and maintainability.
A documentation health metrics framework for measuring ongoing success.
Technical writing teams enabled with the processes, guidance, and training to sustain the new model.
A prioritized roadmap for continued implementation following the engagement.
Required Qualifications
7+ years in technical documentation, content operations, knowledge management, or related consulting roles.
Proven experience transforming documentation or content operations programs.