Knowledge Systems Specialist

Cottingham & Butler•Dubuque, IA

About The Position

Cottingham & Butler is seeking a Knowledge Systems Specialist to build, maintain, and enhance our enterprise knowledge base so staff can easily access accurate, organized information—both directly and through AI‑powered tools. This role owns the structure, governance, and day‑to-day administration of our SharePoint-based knowledge system and partners with Technology teams to integrate knowledge assets into emerging AI solutions. This is a hands-on role suited for someone who loves organizing information, designing intuitive content structures, and exploring how knowledge and AI intersect.

Requirements

Bachelor’s degree in Information Science, IT, or related field — or equivalent experience.
2+ years in knowledge management, content management, or information architecture.
Hands-on experience with SharePoint or similar content management platforms.
Strong understanding of taxonomy, metadata, and content organization.
Excellent written communication and documentation skills.
Ability to work effectively with technical and non‑technical stakeholders.

Nice To Haves

Experience with AI/ML concepts, especially RAG or knowledge retrieval systems.
Familiarity with AWS (S3, Bedrock) or similar cloud platforms.
Experience creating content governance frameworks.
Background in insurance, financial services, or similar industries.
Familiarity with Microsoft 365 tools beyond SharePoint (Teams, Power Platform).

Responsibilities

Design and maintain the enterprise knowledge base in SharePoint, including taxonomy, metadata, and navigation.
Establish content governance, including naming conventions, version control, and content lifecycle standards.
Partner with subject matter experts to capture, organize, and maintain knowledge assets.
Create documentation standards and templates to support consistent, high‑quality content.
Monitor usage and feedback to improve content quality and findability.
Integrate SharePoint content with internal and external tools (e.g., AWS) for AI-powered retrieval.
Support configuration and optimization of RAG (Retrieval-Augmented Generation) solutions.
Test and validate AI-generated responses for accuracy and alignment with source content.
Stay current on emerging knowledge management and AI technologies.
Provide training, onboarding, and support for content contributors.
Champion knowledge sharing and drive adoption of knowledge management tools.
Create user guides, FAQs, and self‑service resources.