Director of Driver (supply) Growth

Responsibilities

• Strategic Leadership: Develop and implement a comprehensive strategy for scaling and managing the entire driver acquisition process. Provide visionary leadership to ensure the growth and success of our driver base.
• Forecasting and Budget Oversight: Ensure accurate projection of driver forecasts and manage hiring campaigns within allocated budgets. Implement cost-effective strategies and monitor performance against financial goals.
• End-to-End Process Ownership: Oversee the complete lifecycle of driver acquisition, from recruitment to onboarding. Implement processes to ensure drivers are properly vetted, credentialed, and trained/onboard according to Zum's standards.
• Performance Metrics and Visibility: Own driver recruiting performance metrics, developing and tracking key performance indicators (KPIs) to measure the success of driver growth initiatives. Provide regular visibility and reports to the leadership team.
• Competitor Analysis: Conduct competitive analysis both at the national and market level from the driver acquisitions point of view. Implement best practices to maintain a competitive edge in driver recruitment and retention and set Zum apart from competition- making Zum the most desirable employer for school bus drivers in the world.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to align driver growth strategies with overall company objectives. Foster strong partnerships with other departments to enhance overall operational efficiency and reduce acquisition costs.

Requirements

• Master's degree in statistics, HR, mathematics, economics, or MBA.
• 10+ years of domain experience including experience leading a workforce planning team that works across partner sub teams. Familiarity solving problems/efforts with visible and not-yet-visible risks, roadblocks, constraints, including many that conflict with each other.
• Experience supporting and influencing senior executives.
• Experience setting technical requirements for process automation.
• Strong analytical and problem-solving skills, expertise in deriving insights through data analysis, and practical knowledge and experience in inferential statistical application.
• Excellent attention to detail and the ability to dive deep into the data.
• Strong interpersonal and communication skills, including the ability to engage effectively with a broad range of audiences including senior business leaders and cross-functional colleagues.
• Ability to work efficiently in a dynamic and ambiguous environment by combining analytical rigor and judgment.