Moss

Moss

Fleet Safety Specialist

FORT LAUDERDALE, FL · Contract

Sponsorship not specifiedDetected 6 days ago
ExcelLogisticsHRLeadershipCommunicationMentoringMicrosoft OfficeSharePointConstruction ManagementRenewable Energy

About the role

  • Moss is a national privately held construction firm providing innovative solutions resulting in award-winning projects.
  • The company's diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports.
  • Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top 50 general contractors.

Responsibilities

  • Maintain fleet safety records, reports, and documentation to ensure accuracy and completeness
  • Support administration of fleet safety technology platforms including Geotab, dash camera systems, and other fleet safety applications

Requirements

  • Assist with onboarding of new drivers by coordinating required fleet safety training and policy acknowledgments

Skills

  • Minimum of 5 years of fleet safety, transportation safety, risk management, or EHS experience
  • Strong knowledge of non-DOT fleet safety principles, vehicle incident prevention, driver behavior management and fleet risk mitigation
  • Ability to analyze telematics, dash camera, accident, MVR and other fleet safety data
  • Strong organizational, documentation and follow-up skills
  • Proficiency in Microsoft Office Suite, including Excel, Word, PowerPoint and Outlook
  • Familiarity with fleet safety and analytics systems such as Geotab, SharePoint, Dash camera and Intelex preferred
  • Experience conducting vehicle accident investigations
  • Knowledge of fleet safety best practices, insurance claims, and driver behavior management
  • BS in Safety Management, Transportation, Logistics, Business Administration, or similar preferred

This listing is sourced directly from Moss's careers page and normalized into a canonical job model.