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# AI Documentation Transformation Consultant

- **Company:** PamTen
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Confluence, Software Documentation, Enterprise Content Management, Knowledge Management, Metadata, Microsoft SharePoint, Systems Integration, Management of Software Versions, Document Enterprise Platform, Madcap
- **Published:** June 23, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=rijdnwzhw0mz36cpr0zwxqcj9yt1m405eam52pzlcqh06kjpfrmqaa2uyt3eiarf&compid=0/jobs/32484840#/jobs/32484840

## About the Role

* 7+ years in technical documentation, content operations, knowledge management, or related consulting roles.
 * Proven experience transforming documentation or content operations programs.
 * Hands-on experience implementing AI-assisted content workflows, knowledge management solutions, or enterprise content strategies.
 * Strong command of content governance, information architecture, taxonomy, metadata, and content lifecycle management.
 * Experience with documentation/KM platforms such as Confluence, MadCap Flare, SharePoint, Document360, or similar.
 * Strong stakeholder management, facilitation, and change management skills., * Experience with highly technical products, enterprise SaaS platforms, or cybersecurity solutions.
 * US or Canadian citizenship.
 * Ability to support Central and Eastern time zones in addition to Pacific/Mountain.

## Description

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.


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