Finance Analyst; Temporary

Job Description

Airbus Commercial Aircraft is looking for a Finance Analyst (Temporary Contract) to join our Finance Team based in Herndon, VA.

You will be responsible for business controlling activities across various Airbus Services perimeters in the Americas. Reporting directly to the Head of Services Finance (Americas), the incumbent will deliver key financial reporting, cost controlling, and advanced performance management analysis to operations to drive critical business decisions.

In alignment with our 2035 Services Moonshot and our transition to an optimized, digitally mature "One Roof" finance organization, this role is designed for a progressive, disruptive finance professional. The successful candidate will not only manage traditional controlling tasks but will actively champion the integration of Financial AI, automated business analytics, and generative AI use-case assessments to decouple regional business growth from manual administrative overhead.

This position is temporary with an estimated duration of August to December 2026.

Our Finance and Accounting team members need excellent analytical and communication skills to successfully manage our financial portfolio. Our teams provide key analytics from month-end closing to performance management analysis for our partners. If you’re analytical, detail oriented and have a passion for numbers, you’ll enjoy working with our cross‑functional global team.

The Washington, D.C. metro area is home to multiple Airbus offices: in our nation’s capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters – located adjacent to Washington Dulles International Airport (IAD) – it makes flying in a breeze!

• Comprehensively plan the growth and development of the regional Services business within the Annual Operative Planning (AOP) cycle.
• Prepare and deliver regional financial reviews, performing deep‑dive root‑cause analyses on budget over/under‑performance. Translate raw variance data into actionable risk‑mitigation or opportunity‑exploitation strategies.
• Actively customize and deploy AI Use‑Case Assessments for Financial Planning, Budgeting, and Forecasting to transition the department toward predictive, machine‑learning‑driven rolling forecasts.
• Help champion the adoption of AI‑powered data retrieval systems to eliminate manual data‑gathering cycles, allowing the team and operational leaders to query P&L, headcount, and KPI metrics instantaneously.
• Assist the Head of Services Finance in preparing executive‑level financial briefings, metrics, and dashboards for senior management (Airbus Americas and Global Services HQ).

• Perform rigorous business controlling over an annual Operational Expenditure (OPEX) perimeter of approximately USD 50 Million. Manage, analyze, and approve procurement and headcount‑hiring pipelines, securing strict alignment with the locked regional targets.
• Implement and leverage basic AI use cases for Business Analytics and Decision Support to automate transaction categorization, identify spending anomalies, and streamline monthly OPEX variance analysis.
• Monitor, track, and analyze key P&L and balance sheet items including revenue and cost accruals, regional inventories, tangible/intangible assets, accounts receivable (AR), accounts payable (AP), and customer advance payments.
• Support the expansion of our Direct "Revenue‑to‑Cash" Free Cash Flow (FCF) methodology. Investigate opportunities to apply predictive cash‑forecasting algorithms to regional collection pipelines to improve working capital predictability.

• Partner closely with regional Business Operations, Accounting, Financial Systems, and Consolidation teams to ensure cost accounting structures accurately reflect business activities under both IFRS and US GAAP.
• Formulate critical business parameters, such as unit costing models…