AI Solutions Manager
2026-03-02T05:21:09+00:00
digital divide data
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https://www.digitaldividedata.com/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Information Technology
Computer & IT, Management, Science & Engineering, Business Operations
2026-03-09T17:00:00+00:00
8
Background information about the job or company (e.g., role context, company overview)
DDD believes talent has no boundaries--and opportunities shouldn’t either. In 2001, we saw the need to bring tech skills and living-wage work to men and women in underserved communities in Asia. It was here that DDD helped plant the seed for a socially responsible outsourcing practice known as impact sourcing.
Responsibilities or duties
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 or requirements (e.g., education, skills)
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.
Experience needed
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Excellent communication, technical storytelling, and stakeholder management.
- Experience managing escalations, coaching teams, and leading in KPI-driven environments.
- 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.
JOB-69a51e45debd3
Vacancy title:
AI Solutions Manager
[Type: FULL_TIME, Industry: Information Technology, Category: Computer & IT, Management, Science & Engineering, Business Operations]
Jobs at:
digital divide data
Deadline of this Job:
Monday, March 9 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Monday, March 2 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
DDD believes talent has no boundaries--and opportunities shouldn’t either. In 2001, we saw the need to bring tech skills and living-wage work to men and women in underserved communities in Asia. It was here that DDD helped plant the seed for a socially responsible outsourcing practice known as impact sourcing.
Responsibilities or duties
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 or requirements (e.g., education, skills)
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.
Experience needed
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.
Work Hours: 8
Experience in Months: 12
Level of Education: bachelor degree
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