Global Knowledge Production Lead, CommOps
Role details
Job location
Tech stack
Job description
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.
- Ensure teams are equipped with the right tools, training, and guardrails.
- Balance speed, quality, and risk as AI capabilities evolve.
Metrics & operational health
- Own Knowledge Production KPIs, including Throughput and velocity, SLA adherence, Backlog health and aging, Quality and rework signal, Intake quality
- Use data to surface systemic issues, bottlenecks, and improvement opportunities.
- Ensure metrics are trusted, visible, and used to drive decisions.
Cross-functional leadership
- Act as the senior Knowledge Production counterpart to internal and external stakeholders
- Ensure production feasibility is embedded in planning and prioritization.
- Clearly represent risks, constraints, and opportunities to leadership.
- Align strategic ambition with delivery reality.
Requirements
Do you have experience in Production planning?, * 8+ years of experience in knowledge, content, production, or operations management.
- 2+ years leading managers and large teams
- Experience using AI tools to enable scale and quality
- Experience scaling global knowledge or content operations.
- Strong operating model, capacity planning, and performance management expertise.
- Proven ability to use data to drive decisions and trade-offs.
- Excellent stakeholder management and executive communication skills.
Preferred Qualifications
- Thinks in systems and scale, not individual requests.
- Anticipates risk before it impacts delivery.
- Sets a high bar for clarity, rigor, and accountability.
- Uses metrics to inform decisions-not just report outcomes.
- Builds strong leaders and durable systems, not just outputs.