Manager, Central Operations, Knowledge Management (AI)

TL;DR

Manager, Central Operations, Knowledge Management (AI): Building and owning the enterprise knowledge infrastructure to capture and organize institutional knowledge with an accent on AI-readiness and content architecture. Focus on designing taxonomy and metadata standards, optimizing enterprise search, and implementing agentic workflows for AI consumption.

Location: Remote (Must reside in one of the following US states: AL, AZ, CA, CO, CT, DC, DE, FL, GA, IL, LA, ME, MD, MA, MI, MN, MO, NV, NC, NJ, NY, OH, OK, OR, PA, RI, SC, TX, TN, UT, VA, WA, WI)

Salary: $130,500 - $148,700 USD

Company

A consultancy and public benefit corporation specializing in technology modernization and human-centered design for government services.

What you will do

• Design and implement a ground-up enterprise knowledge framework, including taxonomy, metadata standards, and content architecture.
• Restructure the knowledge base across Confluence and GDrive to ensure content is structured, deduplicated, and AI-ready.
• Establish company-wide documentation standards, review cycles, and ownership models.
• Own the strategy for AI-enablement, ensuring infrastructure supports intelligent search and agentic workflows.
• Define and track KPIs for content health, usage, and business impact.
• Partner with cross-functional leaders to identify knowledge gaps and develop reusable content and playbooks.

Requirements

• 7+ years of experience in knowledge management, content strategy, digital transformation, or operations.
• Experience designing AI-ready knowledge frameworks and structuring content for machine consumption.
• Strong skills in information architecture, taxonomy design, and metadata management.
• Proven ability to set and enforce enterprise-wide content standards and governance.
• Legal authorization to work in the United States without visa sponsorship.
• Must reside in one of the approved US states.

Nice to have

• Experience implementing knowledge bases integrated with LLM-based workflows or chatbots.
• Familiarity with semantic data models or knowledge graph technologies.
• Experience in 0-to-1 environments, such as startups.
• Background in professional services or government technology.

Culture & Benefits

• Remote-first environment with flexible scheduling and home office utility reimbursement.
• Comprehensive medical, dental, and vision plans, plus disability and life insurance.
• 401(k) matching (4%) and performance-based annual bonuses.
• Generous time off, including 12 paid federal holidays and sabbatical leave.
• Professional development support via LinkedIn Learning and an annual allowance for courses and certifications.
• Parental leave with weekly meal delivery.