FP&A, Decision Intelligence Manager

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Job details:
HOT JOB - FP&A Manager BI needed // Growing Aviation Industry Client // Heavy AI Experience Preferred

This Jobot Job is hosted by: Kyle Beard
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Salary: $110,000 - $120,000 per year


A bit about us:

We are a dynamic, innovative private aviation company, seeking an FP&A Manager with strong analytical and AI experience.


Why join us?

• Competitive Base Salary
• Company paid health plan for employees
• Very generous PTO
• Small team, autonomy
• Many more great perks!
  
  
  

Job Details

The Manager, FP&A & Decision Intelligence will be embedded within FP&A while serving as an analytical resource across the organization. This role sits at the intersection of finance, operations, data, and AI — applying modern tools and techniques to improve how plans, prices, and performs.

You will build models, deploy AI-powered solutions, and deliver analysis that drives better decisions across the business — from fleet profitability and maintenance planning to pricing strategy and capital allocation. You will work closely with senior leaders in Finance, Operations, Commercial, and Maintenance to translate complex data into actionable insight.

The ideal candidate is analytically sharp, AI-fluent, and comfortable working across functions. Whether your background is in FP&A, operations research, data science, or a combination — what matters most is your ability to learn quickly, think critically, and apply modern analytical tools to complex business problems.

Essential Functions

Financial Planning & Analysis

• Build and maintain driver-based forecasts connecting flight activity, fleet mix, crew costs, and maintenance inputs to financial performance.
• Support the annual budgeting process by partnering with department leaders and translating operational plans into aligned financial targets.
• Develop and update tools to monitor aircraft profitability, utilization, and contribution margins.
• Support scenario modeling for capacity planning, charter demand shifts, and capital deployment decisions.
• Partner with Flight Operations, Maintenance, and MRO teams to align operational KPIs (hours flown, AOG rates, fuel burn, on-time RTS) with financial goals.
• Perform variance analysis to identify drivers of financial performance gaps and communicate findings with actionable recommendations.
  

Cross-Functional Analytics & Decision Support

• Provide analytical support to senior leaders across Finance, Operations, Commercial, and Maintenance on key initiatives.
• Quantify trade-offs between revenue optimization, reliability, and cost — for example, evaluating crew ratios, positioning efficiency, or MSU coverage strategies.
• Partner with Commercial, Pricing, and other teams to support data-driven strategies across revenue, cost, and operational performance.
• Build business cases and ROI models for new ventures, partnerships, and aircraft programs.
  

AI & Analytics Implementation

• Serve as an AI-first analyst — leveraging generative AI, agentic workflows, and automation tools as core components of day-to-day work.
• Build predictive and prescriptive models to improve aircraft availability forecasting, maintenance planning, and demand prediction.
• Implement AI solutions to automate reporting, narrative commentary, and “what-if” simulation.
• Stay current on emerging data science, AI, and analytics trends, tools, and techniques — and proactively identify opportunities to apply them.
• Contribute to the evolution of the company’s AI and analytics roadmap.
  

Executive Communication & Process Improvement

• Author memos, dashboards, and presentations that distill complex analysis into clear, actionable insights for the CEO, CFO, COO, and other senior leaders.
• Present findings and recommendations directly to executive leadership, translating analytical work into business narratives that drive decisions.
• Support cross-functional projects that improve transparency, accountability, and performance management.
• Build repeatable frameworks that enhance analytical rigor, reduce manual effort, and accelerate decision cycles.
• Serve as a resource and thought partner to colleagues on data interpretation, automation tools, and financial storytelling.
  

Required education and experience:

• 3–6 years of experience in FP&A, operations research, data science, consulting, or analytics — experience in aviation, logistics, or other asset-intensive industries is a plus.
• Background in one or more of the following: financial modeling and driver-based planning, statistical analysis and predictive modeling, or operations research and optimization. Willingness to develop skills across all three.
• Proficiency in SQL and BI tools (Tableau, Power BI, or similar); Python or R experience preferred.
• Demonstrated fluency with AI tools — including generative AI, LLM-based workflows, and automation platforms — as part of daily analytical work.
• Experience with or strong interest in deploying AI/ML models for forecasting, optimization, or automation.
• Familiarity with aviation systems (Avianis, Corridor, CAMP, Airtable, or equivalent) is a plus.
• Comfort with applied statistics, experimentation, and working with large datasets.
• 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 suitability for the position.
  
  

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