Dangote Group is one of Nigeria’s most diversified business conglomerates with a hard – earned reputation for excellent business practices and products’ quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa.

Job Summary

• Responsible for monitoring driver safety compliance, managing biometric driver verification, reviewing AI camera alerts, enforcing fleet safety policies and supporting corrective actions to reduce operational risks and improve driver accountability. 

 Job Responsibilities

• Monitor and review AI camera safety alerts during assigned shift, including seat belt violation, distracted driving, phone usage, fatigue/drowsiness, smoking, camera obstruction/tampering, and other unsafe driving behaviours.
• Ensure all drivers are biometrically captured and verified before employment to confirm identity, prevent impersonation, and strengthen compliance with recruitment and fleet safety requirements.
• Validate AI camera alerts using available evidence and classify each alert as valid, false, pending review, repeated offence, or critical incident.
• Monitor compliance with company policies, SOPs, and control procedures.
• Monitor and report overspeed violations.
• Follow up on corrective actions such as driver warning, retraining, counselling, or disciplinary recommendation.
• Identify repeat offenders, high-risk drivers, high-risk routes, frequent violation types, and control weaknesses from shift data.
• Any other function as maybe assigned by  Management.

Qualification and Experience

• Geographic ReferenceB.SC or HND in Computer science or related field with 2 - 4 years of working experience in related industry.
• Strong analytical and investigation skills.
• Good documentation and reporting ability.

Competencies Requiements

• Strong interpersonal and teamwork skills and excellent attention to details.
• Integrity and confidentiality.
• Ability to challenge non-compliance professionally.
• Ability to  work and execute assigned tasks excellently with minimal supervision.