Manager, Talent Knowledge Strategy & Governance
Netflix
- Location
- USA - Remote
- Work model
- On-Site
- Level
- Mid
- Salary
- $184k – $330k/yr
- H-1B history
- 80 approvals (FY2023)
About this role
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Where Talent Knowledge Stands Today
Across Talent, content ownership is scattered: GBPs (Global Business Practices, which are our centers of excellence) each own their own employee-facing content, and Employee Services owns their own FAQs and work instructions. Much of it lives on the Netflix Knowledge Platform (NKP), the system that hosts these sites, including the Netflix Resource Center (NRC), Talent's employee-facing intranet, with more business lines migrating over time. But the NKP doesn't belong to Talent, and a growing stack of system documentation lives outside it entirely. This role governs all of it, on the NKP and off, while our technology partner team owns the platform itself.
This is a founding role. You'd be the first to own knowledge governance for Talent, with a genuine greenfield to shape: building the shared taxonomy, the review lifecycle, the cross-GBP forum where these groups align, and the AI-readiness plan that makes this content work with the search tools employees reach for first. You get to define what good looks like from the ground up.
The Role
This is part strategist, part librarian. You'll own the governance model, content standards, taxonomy, and indexing for Talent's knowledge estate, on the NKP and off, and you'll shape the longer-term strategy for how that knowledge supports the company at scale. Day-to-day, that means balancing hands-on knowledge operations (structure, tagging, findability) with the strategic work of defining how governance should function across Talent. You'll also be the bridge between Talent's content and the AI tools that surface it, understanding how search and retrieval consume knowledge and staying ahead of where those tools are heading so our content is built for them rather than catching up. That includes designing workflows where AI can proactively surface content gaps and produce first-draft material.
Because Talent has never had this function, a big part of the job is influence without authority: the GBP leads who own the content don't report to you, so getting standards adoption is a constant, active push. The role comes with an executive sponsor (the Talent Tech & Operations Senior Director) and a leadership-endorsed mandate, so adoption is expected and backed from above rather than something you generate alone, and part of the job is building and sustaining that senior-leader alignment as the model evolves. You'll also define and build the team this function needs, like editors and other roles as the work demands.
Responsibilities Include, But Are Not Limited To
* Design and own Talent's content governance strategy and operating rhythms: the standards, content lifecycle, longer-term vision, and the recurring reviews that keep each live NKP site's content and standards current, all applied by GBPs, their stewards, and Employee Services to their own content
* Own the taxonomy, information architecture, and indexing for the Netflix Resource Center and the wider Talent knowledge estate, so content is organized, discoverable, and usable across Talent
* Make Talent's knowledge AI-ready and keep it that way as the tools evolve: structure content (metadata, tagging, chunking, consistent Q&A formatting, no stale duplicates) for accurate retrieval, and stay ahead of how AI search consumes content so the estate is built for where those tools are heading
* Partner with GBP stewards and subject-matter experts to turn policy-heavy material into user-friendly, searchable content, through standards and feedback and by designing AI-assisted workflows that identify gaps and generate first-draft