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AI Solutions Manager at Digital Divide Data (DDD Kenya)

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Job Detail

  • Job ID 1015582
  • Career Level  Manager
  • Experience  8 Years +
  • Qualifications  Degree Bachelor

Job Description

Job Description

Client Partnership & Applied Solution Design

  • Lead discovery sessions to understand client datasets, workflows, and ML objectives.
  • Translate technical requirements into structured workflows, annotation guidelines, and quality frameworks.
  • Provide clients with performance insights, delivery updates, and workflow recommendations.
  • Identify opportunities to optimize or expand ongoing programs.

Program Delivery Leadership

  • Oversee daily execution of AI/ML/CV/AV/ADAS workflows to meet accuracy, throughput, and timeline SLAs.
  • Guide onboarding, calibrations, workflow transitions, and guideline updates.
  • Partner with Delivery Leads on staffing, training, and production readiness.
  • Maintain documentation and ensure alignment across teams.

Analytics, Quality & Root-Cause Insights

  • Build dashboards and reports tracking accuracy, IAA, errors, productivity, and latency.
  • Lead root-cause analyses and collaborate with QA/Training teams to drive improvements.
  • Provide actionable insights that improve model training data and system performance.
  • Communicate analytics to clients and internal technical teams.

Innovation & Continuous Improvement

  • Recommend process optimizations using data trends and team feedback.
  • Promote adoption of automation tools: pre-labeling, AI-assisted annotation, QC automation.
  • Improve sampling, auditing, and annotation consistency frameworks.

Commercial & Pre-Sales Support

  • Provide technical inputs for proposals, pricing, and Statements of Work (SOWs).
  • Support RFI/RFP submissions with workflow and technical expertise.
  • Participate in demos and client evaluations alongside Business Development.

Qualifications

Who We’re Looking For

Technical Expertise

  • Strong understanding of annotation workflows for 2D/3D CV, NLP, LiDAR/RADAR, AV/ADAS datasets.
  • Proficiency with tools like Labelbox, SuperAnnotate, Scale AI, CVAT.
  • Experience designing workflows, taxonomies, guidelines, and quality processes.
  • Solid analytics skills: Excel mastery; SQL/Python familiarity; experience with PowerBI/Tableau/Looker.

Leadership & Client Management

  • Excellent communication, technical storytelling, and stakeholder management.
  • Experience managing escalations, coaching teams, and leading in KPI-driven environments.

Education & Experience

  • Bachelor’s degree in Computer Science, Engineering, Data/AI, or related fields.
  • 8+ years in AI/ML operations, technical solutioning, or program delivery.
  • Experience with annotation workflows, robotics, AV/ADAS, or computer vision is a plus.

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