Software Content Manager ( AI )

CEIs Fortune 500 Client is a National Leader in mixed department retail and consumer analytics via Machine Learning and AI. They are adding a Software Content Manager to their team in Cincinnati.

• 6 month contract with potential for extension and permanent conversion
• Must be local to Cincinnati, OH
• Hybrid Onsite Position
• $50-55 / HR

Responsibilities:

Content Organization

• Audit, categorize, and structure existing technical documentation and resources within the AI Hub.
• Develop and maintain a logical, user-friendly information architecture.
• Utilize tagging, links, and other macros to help users navigate through content.
• Standardize best practices for tagging, naming conventions, formatting, and content lifecycle management.

Collaboration

• Work closely with AI Hub stakeholders, engineers, and product managers to gather information and validate content.
• Facilitate content review cycles and incorporate feedback from technical and non-technical users.
• Provide frameworks, templates, checklists, style guides, and best practices for contributors.
• Provide hands-on support for contributors.

Content Creation and Review

• Edit contributor content for clarity, formatting, professionalism, and audience; ensure content adheres to standards.
• Write, edit, and update technical guides, FAQs, onboarding materials, and best practices for AI tools and workflows.
• Translate complex technical concepts into clear, concise, and engaging content for internal audiences.
• Ensure consistency, clarity, and accuracy across AI-related content areas.
• Improve the structure, discoverability, and readability of high-impact content used across engineering, design, and product teams.

Content Management

• Manage version control and updates for evolving AI tools and documentation.
• Ensure all content meets internal standards for quality, consistency, and accessibility.

Process Improvement

• Recommend and implement improvements to content workflows, templates, and publishing processes.
• Identify gaps in documentation and propose solutions to address them.
• Utilize Confluence automations and AI to streamline the contribution and review process.
• Define and continuously refine content governance, workflows, approval processes, and contributor enablement.
• Monitor content health and analytics to surface gaps, usage patterns, and improvement opportunities.

Qualifications

• 5 years of experience in content management, knowledge management, or technical writing for software, data science, or AI/ML projects.
• Proficient in Confluence, including automations and AI features.
• Experience building or maintaining centralized knowledge systems in technical environments.
• Familiarity with information architecture concepts and structured content methodologies (taxonomy, tagging, metadata, governance).
• Strong attention to detail, editorial judgment, and ability to simplify complex information.
• Excellent communication and collaboration skills.
• Ability to collaborate with technical and non-technical stakeholders.
• Experience with AI/ML concepts or tools is a plus.

Must-Haves

• Experience with Confluence/Atlassian.
• Tech background and strong familiarity with technical terminology.
• Process/coaching experience.
• Ability to partner with engineering, product, and design teams to translate technical concepts into clear, structured documentation.
• Experience defining content standards and governance models.

About the Client

The client is a leading retail technology and data organization supporting one of the nation’s largest grocery and consumer goods enterprises. Their teams focus on building advanced data, analytics, and AI capabilities that power internal platforms, enhance operational efficiency, and improve decision-making across the business. The AI knowledge center this role supports centralizes tools, documentation, best practices, and learning resources to ensure engineering, product, and cross-functional teams can access accurate, consistent, and well-governed technical content. This position plays a key role in maintaining high standards of quality, organization, and usability across all AI-related documentation within the enterprise.