Global Knowledge Production Lead, CommOps
UberAmsterdam, NetherlandsPosted 5 March 2026
Tech Stack
Job Description
Global Knowledge Production Lead, CommOps
Department: Community Operations
Team: Strategy & Program Operations
Location: Amsterdam, Netherlands
Type: Full-Time
**About the Role**
This role owns Uber’s end-to-end Knowledge Production operating model. This leader is accountable for how knowledge is produced globally; setting standards, systems, and performance expectations that enable high-quality, scalable delivery across all personas and regions.
This role partners closely within Global Content and externally, to ensure production is efficient, predictable, and future-ready, while enabling Knowledge Production Leads and teams to perform at a high bar.
**What You’ll Do**
Lead the Knowledge Production organization
- Lead, coach, and develop Knowledge Production Leads and senior team leads.
- Set clear expectations for delivery excellence, accountability, and leadership behavior.
- Drive consistent performance management, calibration, and talent growth.
- Foster a high-performing, psychologically safe culture with strong ownership.
Own the Knowledge Production operating model
- Define and continuously evolve the global Knowledge Production operating model.
- Set standards for intake, prioritization, creation, QA, handoff, and BAU support.
- Ensure consistent ways of working while enabling persona-specific flexibility.
- Establish clear roles, decision rights, and escalation paths.
Capacity, headcount & site strategy
- Own Knowledge Production capacity planning across regions, personas, and time horizons.
- Partner with leadership on headcount planning, hiring, and site optimization.
- Rebalance work across sites to improve efficiency, resilience, and speed.
- Anticipate future needs based on demand, complexity, and the transformation roadmap.
Intake, tooling & execution rigor
- Own JIRA as the single source of truth for Knowledge Production execution.
- Define standards for workflows, hygiene, reporting, and adoption.
- Partner with tooling and automation teams to reduce manual effort and friction.
AI & process enablement
- Identify opportunities to automate manual work and improve throughput and quality.
- Ensur
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