Director of Strategic Finance & Decision Intelligence

FlyExclusive•Raleigh, NC

72d•Onsite

About The Position

flyExclusive is one of the nation's leading private jet operators, delivering world-class private aviation experiences through a growing fleet and a relentless focus on operational excellence. Headquartered in Kinston, North Carolina, with offices in Raleigh, flyExclusive manages every facet of flight operations - maintenance, paint, interiors, charter, and aircraft management - under one roof. We operate in a fast-paced, data-driven environment where decision quality directly impacts safety, profitability, and the customer experience. As the company continues to scale, harnessing the power of data, AI, and advanced analytics has become critical to our success. The Director of Strategic Finance & Decision Intelligence will be a cornerstone in this evolution - driving analytical innovation, building decision systems, and creating the financial and operational clarity that powers the next phase of flyExclusive's growth. This is a high-visibility, high-impact position for an analytical and strategic leader who thrives at the intersection of finance, operations, data, and technology. You will play a pivotal role in modernizing how the company makes decisions - from flight and maintenance planning to fleet strategy, pricing, and investment prioritization. You will lead efforts to unify financial and operational data, deploy AI and automation tools, and provide decision frameworks that directly influence executive action. The ideal candidate is a builder - a person who sees both the strategic forest and the technical trees - and who is passionate about using data, analytics, and agentic AI to transform business performance.

Requirements

8-12 years of experience in FP&A, operations finance, consulting, or analytics - ideally within aviation, logistics, or other asset-intensive industries.
Deep understanding of operational finance, cost modeling, and driver-based planning.
Proficiency in SQL, Python, and BI tools (Tableau, Power BI, or similar).
Familiarity with aviation systems (Avianis, Corridor, CAMP, AirTable, or equivalent).
Strong working knowledge of modern data architectures - including data warehouses, data lakes/lakehouses, ETL/ELT design, and how these support scalable, reliable analytics.
Experience deploying AI or ML models for forecasting, optimization, or automation.
Comfort with applied statistics and experimentation, including Bayesian modeling or reinforcement learning approaches to pricing and optimization.
Exceptional communication and executive presentation skills.
Entrepreneurial, curious, and adaptable - thrives in a fast-paced, rapidly evolving environment.
Must be authorized to work lawfully in the United States, must provide two forms of Federal Identification.
Candidates must successfully complete a comprehensive background check prior to employment. This includes verification of previous employment, education, criminal history, and any other relevant information necessary to determine the suitability for the position.

Responsibilities

Financial & Operational Planning
Build driver-based forecasts that connect flight activity, fleet mix, crew costs, and maintenance inputs to financial performance.
Develop dynamic tools to monitor aircraft profitability, utilization, and contribution margins in near real time.
Partner with Flight Operations, Maintenance, and MRO teams to align operational KPIs (hours flown, AOG rates, fuel burn, on-time RTS) with financial goals.
Support scenario modeling for capacity planning, charter demand shifts, and capital deployment decisions.
Strategic & Decision Support
Serve as an analytical partner to the COO, CFO, CCO, and senior leadership on key initiatives such as fleet expansion, maintenance capacity, and technology investment.
Quantify trade-offs between revenue optimization, reliability, and cost - for example, evaluating crew ratios, positioning efficiency, or MSU coverage strategies.
Partner with Commercial and Pricing teams to develop data-driven pricing strategies for wholesale and charter markets using AI-based optimization and statistical modeling.
Lead the design of dynamic and algorithmic pricing systems that incorporate demand elasticity, utilization signals, and market dynamics to maximize yield.
Build business cases and ROI models for new ventures, partnerships, and aircraft programs.
Analytics & AI Enablement
Play a key role in shaping the company's data ecosystem - working with engineering to design and evolve data warehouses, lakes, and semantic layers that enable consistent, trusted analytics across Finance, Operations, and Commercial functions.
Define data requirements, schemas, and transformation logic to ensure data quality, lineage, and granularity support accurate and timely decision-making.
Partner in developing the next-generation financial and operational data architecture that underpins the company's AI, reporting, and forecasting capabilities.
Deploy predictive and prescriptive models to improve aircraft availability forecasting, maintenance planning, and demand prediction.
Implement generative and agentic AI solutions to automate reporting, narrative commentary, and "what-if" simulation.
Experiment with Bayesian modeling and reinforcement learning to support pricing, scheduling, and optimization algorithms.
Champion the evolution of the company's AI and analytics roadmap, ensuring scalability and long-term value creation.
Leadership & Capability Building
Lead cross-functional projects that improve transparency, accountability, and performance management.
Represent Finance & Analytics as a trusted business partner to leadership teams throughout the company.
Coach and mentor analysts and business partners on data interpretation, automation tools, and financial storytelling.
Build repeatable frameworks that enhance analytical rigor, reduce manual effort, and drive faster decision cycles.