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Information technology, software development, data jobs in Makueni Boma, Kenya

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AfricaNigeriaUganda

© Fuzu Ltd

Kenya/Information technology, software development, data
Fuzu Atlas

Human resources + 2 more

Operations Team Manager

Remote · open to applicants in Kenya

Posted: 13 Nov 2026

Apply by: 23 Nov 2026

9 days left to apply

Job details

Salary

Workplace type

Remote

Description


Location: Remote

About Fuzu

Fuzu is a leading organisation at the forefront of transforming the intersection between artificial intelligence and human activities. We collaborate with top-tier professionals and prominent industry players to push the boundaries of AI innovation and lead advancements in this dynamic field. By joining Fuzu, you will become an integral part of a company that prioritizes leadership, quality, and professional growth.


About the role:


We are seeking a highly experienced, analytical, and execution-driven Operations Manager to lead day-to-day operations for a Labelling Program, supporting Human-in-the-Loop (HITL) AI evaluations, annotation workflows, and model quality assessment initiatives. This is a high-ownership operational leadership role responsible for managing large-scale evaluator teams, ensuring consistent delivery quality, optimizing workforce utilization, and driving operational excellence across multiple concurrent AI evaluation projects.

The Project Manager will work closely with global Program Managers, Product,Engineering,Workforce Management, Learning & Development, Sourcing, and external partners.


We are looking for an operational problem-solver, not just a project coordinator.

The successful candidate must be capable of independently identifying risks, investigating quality and productivity issues, implementing corrective actions, and driving measurable improvements with minimal supervision.

The role requires strong analytical judgment, technical aptitude, structured communication,and the ability to operate effectively in a fast-changing AI product environment.


Key Responsibilities

1. End-to-End Program Delivery & Operational Ownership

  • Independently manage daily execution across multiple AI evaluation, annotation, and quality review projects.
  • Own delivery commitments across throughput, turnaround time, quality, productivity, and SLA adherence.
  • Translate program-level requirements into executable daily and weekly operational plans.
  • Monitor delivery progress, identify risks early, and implement recovery plans before commitments are missed.
  • Manage competing priorities, urgent requests, and changing project requirements without compromising quality.
  • Establish clear operational ownership, escalation mechanisms, and accountability across teams.
  • Maintain accurate delivery forecasts and communicate deviations with supporting data.
  • Expected outcome: Consistent, predictable delivery with minimal dependency on Program Managers for routine operational decisions.

2. Quality Management & Root Cause Analysis

  • Own evaluator-level, policy-level, and project-level quality performance.
  • Investigate incorrect annotations, inconsistent judgments, incomplete evaluations, weak rationales, and recurring SOP violations.
  • Perform structured root cause analysis to distinguish between training gaps, evaluator performance issues, unclear guidelines, and tooling failures.
  • Implement corrective and preventive actions with measurable effectiveness checks.
  • Establish quality governance across Edit, Review, and Meta-review stages.
  • Identify recurring error patterns and work with relevant stakeholders to eliminate systemic failures.
  • Ensure evaluation decisions are evidence-based, consistent, and traceable.
  • Partner with L&D and quality leads to drive targeted retraining, calibration, and performance improvement plans.
  • Expected outcome: Sustained quality improvement through measurable interventions rather than repeated coaching without results.

3. Workforce Management & Resource Optimization

  • Manage operations involving 100–200+ evaluators across multiple workflows and priorities.
  • Optimize evaluator allocation based on skills, project complexity, productivity, and delivery requirements.
  • Monitor utilization, attendance, capacity, productivity, and resource availability.
  • Build daily and weekly capacity plans and identify staffing gaps before they affect delivery.
  • Coordinate with Sourcing and Workforce teams on hiring, replacement, onboarding,and ramp-up requirements.
  • Identify underperforming evaluators using objective performance data and drive timely corrective actions.
  • Manage resource transitions between projects while minimizing disruption to active commitments.
  • Maintain clear ownership and accountability among team leads, reviewers, and operators.
  • Expected outcome: High workforce utilization, predictable capacity, and improved individual accountability.

4. Tooling, Automation & Technical Problem-Solving

  • Develop a strong working understanding of annotation platforms, workflow tools,quality validation systems, and operational dashboards.
  • Understand multi-stage annotation workflows, including task ingestion, Edit, Review,Meta-review, and final data delivery.
  • Investigate task movement failures, missing records, incorrect field mappings, workflow bottlenecks, and data inconsistencies.
  • Work directly with Product, Engineering, and tooling teams to identify issues, document requirements, validate fixes, and track resolution.
  • Proactively identify manual operational dependencies and opportunities for automation.
  • Participate in user acceptance testing and verify that tooling changes meet operational requirements.
  • Use Google Sheets, formulas, data analysis, and AI productivity tools to improve reporting, tracking, and operational efficiency.
  • Maintain practical workarounds for critical tooling issues while driving permanent solutions.
  • Expected outcome: Reduced manual effort, faster issue resolution, and reliable end-to-end workflows.

5. Data Analytics, Reporting & Performance Governance

  • Own daily, weekly, and monthly operational performance reporting.
  • Build and maintain dashboards covering delivery, quality, productivity, utilization,capacity, and performance trends.
  • Analyze raw operational data to identify anomalies, recurring issues, and emerging risks.
  • Validate source data and ensure reported metrics are accurate, consistent, and reproducible.
  • Translate performance trends into clear business insights, recommendations, and corrective actions.
  • Lead operational reviews with concise updates covering achievements, gaps, risks,ownership, and next steps.
  • Establish measurable KPIs and ensure that operational decisions are supported by evidence.
  • Expected outcome: Reliable performance visibility and actionable insights without requiring continuous intervention from senior leadership.

6. Stakeholder Management & Cross-Functional Execution

  • Serve as the primary operational point of contact for assigned ULP workstreams.
  • Coordinate effectively with global Program Managers and cross-functional teams across time zones.
  • Convert stakeholder requirements into clear execution plans, ownership, and delivery milestones.
  • Communicate blockers, risks, dependencies, and proposed solutions proactively.
  • Drive issues to closure through structured follow-ups and clear accountability.
  • Challenge unrealistic timelines or requirements using data-backed capacity and risk assessments.
  • Maintain professional, concise, and transparent communication with leadership and partner teams.
  • Expected outcome: Stakeholders receive timely, accurate updates and clear resolution plans without repeated follow-ups.

7. Hiring, Onboarding & Evaluator Readiness

  • Partner with Sourcing to define hiring requirements and evaluate candidate suitability for complex annotation work.
  • Ensure new evaluators demonstrate strong reasoning, analytical judgment, attention to detail, and communication skills.
  • Oversee structured onboarding, knowledge assessments, calibration, and controlled production ramp-up.
  • Establish clear readiness criteria before evaluators are assigned independent production work.
  • Monitor new-hire quality and productivity during the initial ramp-up period.
  • Coordinate replacement and performance management actions when resources consistently fail to meet expectations.
  • Expected outcome: A production-ready workforce with validated skills and minimal avoidable quality issues.

Basic Qualifications – Mandatory

  • Bachelor's degree in any discipline.
  • 10+ years of relevant professional experience, including at least 5 years managing large-scale operations
Tags
Information technology, software development, dataHuman resources, talent development, recruitingMid-levelKenya

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