• Spearheads business strategy development tailored to the unique demands of a dynamic Aircraft Charter Operation, ensuring alignment with organizational goals and market trends.• Cultivates and sustains strong, trust-based relationships with Aircraft Owners, Clients, and Vendors, driving business growth and operational excellence.• Oversees regulatory compliance across all departments, ensuring adherence to aviation industry standards and fostering a culture of safety and accountability.• Streamlines communication across departments, enhancing collaboration and efficiency to support immediate operational needs and long-term strategic projects.• Expands and refines acquisition initiatives, contributing to the organization's growth and market presence while delivering seamless integration of new assets.• Leads innovative fleet management solutions, optimizing asset utilization and profitability while aligning with client needs and industry standards.• Drives continuous process improvements, leveraging data analytics and performance metrics to enhance operational workflows and maximize organizational efficiency.Core Accomplishments:• Managed placement of 12 aircraft into our leasing program, resulting in a total asset value of $75.8MM since 2015.• Generated $58MM in revenue from flight charges on these aircraft over the same period, demonstrating strong financial performance.• Cultivated prospects into acquisitions with an average acquisition timeline of 20-24 months, showcasing effective sales strategies and relationship-building.• Maintained ongoing relationships with aircraft owners post-acquisition, ensuring satisfaction and continued business growth.

• Identified and secured potential aircraft owners for management under company programs, expanding portfolio, and increasing client base.• Guided high-net-worth individuals in acquiring aircraft valued at over $10MM, facilitating smooth purchase transactions and ensuring optimal fleet selection.• Developed and presented financial analysis to substantiate ownership decisions, providing clear justification for multi-million-dollar investments.• Advised on tax strategies and offered guidance on potential benefits and pitfalls of aircraft transactions, ensuring compliance and maximizing financial advantages.• Led and mentored a team of Schedulers and Dispatchers, ensuring seamless coordination of trip logistics and on-time execution.• Trained and developed team members on fleet performance metrics and mission-specific aircraft selection, enhancing operational efficiency and service quality.• Managed and oversaw multi-million-dollar projects, optimizing cost control measures and maintaining high standards of quality and service.Core Accomplishments:• Introduced a bonus program for selling transient and empty legs, incentivizing the scheduling team and driving performance.• Increased fleet's effective hourly rate by 30% through successfully implementing the bonus initiative.• Coordinated logistics for thousands of international flights, including a high-profile flight to Cuba, before easing travel restrictions.• Established partnerships with four new national charter vendors, diversifying revenue streams and expanding market reach.• Managed all vendor relationships, ensuring optimal collaboration and contract terms for sustained company growth.

• Directed all daily operations of a 14 CFR Part 141 Flight School, ensuring efficient functioning and adherence to regulations.• Safeguarded compliance with government regulations regarding training standards, record-keeping, and maintenance documentation.• Prepared financial reports for aircraft owners with planes under the Flight School’s management, offering detailed insights into operational costs and asset management.• Promoted and sold training programs to prospective students, driving enrollment and supporting the growth of the flight school.

Worked with a team of Professors and Students at the University of North Florida to develop a network of weather observation sensors. This network, called the Mesonet, significantly increases the accuracy of weather forecasts by feeding high density data into the initialization of a forecast model. With the added network of sensors, forecasts can be given at the "neighborhood" level.