Manager, Central Operations, Knowledge Management

Position summary

The Manager, Central Operations, Knowledge Management joins the Operations & Automation organization at Nava, responsible for building and owning the knowledge infrastructure that powers how Nava captures, organizes, and surfaces institutional knowledge across the company. As the first dedicated owner of this function, this person starts from first principles: establishing the frameworks, standards, and systems that make Nava's knowledge base trustworthy, findable, and ready for AI consumption.

AI-enablement is a core competency of this role. We are looking for someone who brings intelligent knowledge management to the company: someone who thinks rigorously about metadata, taxonomy, content architecture, and governance, and who ensures that Nava's knowledge infrastructure is structured to be leveraged by both humans and AI tools. That includes intelligent search, agentic workflows, and using our institutional knowledge as a strategic asset rather than a static archive.

This is a 0-to-1 builder role and an individual contributor position to start, with the opportunity to build a team as the function scales based on business need. The person in this seat is comfortable working in ambiguity, confident designing from first principles, and effective at driving cross-functional adoption of new ways of working.

What you'll do

• Design and implement Nava's enterprise knowledge framework from the ground up: taxonomy, metadata standards, content architecture, and tooling built for both human findability and AI readiness
• Assess, maintain, and re-structure Nava's knowledge base into a scalable base across Nava's internal systems (Confluence, GDrive, and integrated platforms), ensuring content is structured, deduplicated, and consistently organized
• Establish and own documentation standards company-wide: content templates, review cycles, ownership models, and quality criteria
• Improve discoverability through information architecture and enterprise search optimization, so the right knowledge surfaces at the right moment across tools and workflows
• Own the strategy for making Nava's knowledge infrastructure AI-ready: ensure content is structured, tagged, and governed in a way that supports AI tools, intelligent search, and agentic workflows
• Lead integration between Nava's knowledge systems (Confluence, GDrive, etc) and the platforms that enable automated and AI-assisted workflows; partner with Technology and Operations to define the framework for how content is consumed by AI systems
• Stay current on emerging AI and knowledge engineering capabilities; bring informed recommendations to leadership on where Nava can gain leverage as tooling evolve