Project Manager (Machine Learning, Autonomous Vehicles & ADAS)

Nairobi - Kenya

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Lead the Future of AI Autonomous Systems and High-Performance Data Delivery

Digital Divide Data (DDD) is a global leader in powering Machine Learning and Autonomous Systems with high-quality large-scale data. We are seeking a Project Manager (ML AV & ADAS) who will own delivery excellence elevate operational performance and drive client success across cutting-edge AI programs.

If you excel at orchestrating teams managing complex workflows solving operational challenges and communicating confidently with clients this role is your runway to impact the future of autonomous intelligence.

Your Mission What Youll Lead

Client Relationship & Communication Excellence

Build trusted relationships with ML AV and ADAS clients to ensure seamless service delivery.
Understand and articulate project scope deliverables timelines and ownership.
Serve as the primary liaison for all client requests updates and issue resolution.
Track manage and close client requests with clarity urgency and professionalism.
Ensure workflows and outputs fully align with client expectations and technical guidelines.

Operational Delivery Ownership

Oversee day-to-day execution of annotation QA audits and reporting activities.
Translate technical guidelines into clear actionable workflows for delivery teams.
Monitor team adherence to SLAs/KPIs: accuracy throughput productivity and latency.
Lead real-time issue resolution and ensure teams maintain context and operational readiness.
Maintain strict version control of instructions guidelines and workflow updates.

Performance Tracking & Continuous Improvement

Track performance trends across ML/AV/ADAS datasets using scorecards and dashboards.
Diagnose quality or productivity gaps and implement root-cause fixes.
Partner with QA and Training teams to refine workflows conduct refreshers and clarify instructions.
Lead performance reporting to clients highlighting insights actions and operational improvements.

Team Leadership & Talent Development

Mentor and develop teams handling AI CV 3D or LiDAR datasets.
Build a culture of feedback technical excellence and continuous learning.
Support team decision-making on ambiguous complex or escalated annotation scenarios.
Advise on capacity planning calibration cycles and training needs.

Risk Management & Issue Mitigation

Identify risks related to workflow complexity guideline ambiguity tooling inefficiencies or data quality concerns.
Develop mitigation strategies to ensure delivery continuity and client satisfaction.
Support Business Continuity Plans (BCP) and drive readiness for activation.
Escalate advanced risks to senior leaders and product teams for resolution.

Qualifications :

What Youll Bring

Education & Experience

Bachelors degree in Data/AI Computer Science Engineering Information Systems or related fields.
35 years of experience in AI/ML operations project management or technical workflow coordination.
Hands-on exposure to annotation workflows: 2D/3D CV LiDAR ADAS or AV datasets.
Strong track record managing projects in KPI-driven environments.

Technical & Domain Knowledge

Familiarity with annotation tools such as CVAT SuperAnnotate and Labelbox.
Understanding of ML metrics data quality principles and AV/ADAS ecosystems.

Additional Information :

Why Join DDD

Work at the cutting edge of global AI innovation.
Collaborate with cross-functional technical teams solving real-world problems.
Grow your leadership technical and analytics skills in a mission-driven organization.
Help shape the datasets that power next-generation AI systems.

Remote Work :

Employment Type :

Contract

Lead the Future of AI Autonomous Systems and High-Performance Data DeliveryDigital Divide Data (DDD) is a global leader in powering Machine Learning and Autonomous Systems with high-quality large-scale data. We are seeking a Project Manager (ML AV & ADAS) who will own delivery excellence elevate ope...

Lead the Future of AI Autonomous Systems and High-Performance Data Delivery

Your Mission What Youll Lead

Client Relationship & Communication Excellence

Build trusted relationships with ML AV and ADAS clients to ensure seamless service delivery.
Understand and articulate project scope deliverables timelines and ownership.
Serve as the primary liaison for all client requests updates and issue resolution.
Track manage and close client requests with clarity urgency and professionalism.
Ensure workflows and outputs fully align with client expectations and technical guidelines.

Operational Delivery Ownership

Oversee day-to-day execution of annotation QA audits and reporting activities.
Translate technical guidelines into clear actionable workflows for delivery teams.
Monitor team adherence to SLAs/KPIs: accuracy throughput productivity and latency.
Lead real-time issue resolution and ensure teams maintain context and operational readiness.
Maintain strict version control of instructions guidelines and workflow updates.

Performance Tracking & Continuous Improvement

Track performance trends across ML/AV/ADAS datasets using scorecards and dashboards.
Diagnose quality or productivity gaps and implement root-cause fixes.
Partner with QA and Training teams to refine workflows conduct refreshers and clarify instructions.
Lead performance reporting to clients highlighting insights actions and operational improvements.

Team Leadership & Talent Development

Mentor and develop teams handling AI CV 3D or LiDAR datasets.
Build a culture of feedback technical excellence and continuous learning.
Support team decision-making on ambiguous complex or escalated annotation scenarios.
Advise on capacity planning calibration cycles and training needs.

Risk Management & Issue Mitigation

Identify risks related to workflow complexity guideline ambiguity tooling inefficiencies or data quality concerns.
Develop mitigation strategies to ensure delivery continuity and client satisfaction.
Support Business Continuity Plans (BCP) and drive readiness for activation.
Escalate advanced risks to senior leaders and product teams for resolution.

Qualifications :

What Youll Bring

Education & Experience

Bachelors degree in Data/AI Computer Science Engineering Information Systems or related fields.
35 years of experience in AI/ML operations project management or technical workflow coordination.
Hands-on exposure to annotation workflows: 2D/3D CV LiDAR ADAS or AV datasets.
Strong track record managing projects in KPI-driven environments.

Technical & Domain Knowledge

Familiarity with annotation tools such as CVAT SuperAnnotate and Labelbox.
Understanding of ML metrics data quality principles and AV/ADAS ecosystems.

Additional Information :

Why Join DDD

Work at the cutting edge of global AI innovation.
Collaborate with cross-functional technical teams solving real-world problems.
Grow your leadership technical and analytics skills in a mission-driven organization.
Help shape the datasets that power next-generation AI systems.

Remote Work :

Employment Type :

Contract

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

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About Company

Digital Divide Data

Digital Divide Data (DDD) is a US-based , mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies ... View more

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