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Finance Transformation Analyst - AI & Emerging Tech (Contract)

Airbus Aircraft
CONTRACTOR Remote · US Herndon, VA, Fairfax, US Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at USCareers@airbus.com Notice: Know Your Rights: Workplace Discrimination is Illegal Notice: Pay Transparency Nondiscrimination (English) Aviso: Transparencia en el Pago No Discriminacio´n (Spanish) Job Description: Airbus Commercial Aircraft is looking for a Finance Transformation Analyst - AI & Emerging Tech (Contract) to join our Finance Transformation Team based in Herndon, VA . This is a high-impact, forward-looking role designed to lead the integration of Artificial Intelligence within the Finance function. As the AI lead for the Finance Transformation team, the incumbent is responsible for enforcing standard Airbus Finance Transformation Strategies while pioneering "Agentic Finance"-the use of AI agents, Large Language Models (LLMs), and machine learning to automate complex workflows. This role transcends traditional reporting, focusing on building the Future of Finance by identifying, developing, and scaling AI use cases that drive operational excellence across North America. The person will also be responsible for ensuring that the company’s financial systems and processes comply with relevant laws and regulations and plays a critical role in maintaining the integrity and legal compliance of the financial operations. They will ensure the full lifecycle of projects by following the Airbus project management methodology and will be responsible for delivering the solutions through to entry into service. This role will interact with all the Airbus Functions including Procurement, Digital, Customer Services, Logistic, Production, Human-Resources and with multiple Stakeholders. Meet the Team: 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. Your Working Environment: 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! Your Challenges: AI Initiative Leadership & Implementation (40%) Deliver on the Finance Transformation roadmap by driving the adoption of existing and new AI solutions. Implement AI-based tools & integrate AI further into the Finance Function as a primary point of contact for AI-related use cases. Identify and develop AI use cases that deliver measurable value and efficiency to the finance teams. Predictive Modeling: Move beyond historical reporting to build ML-driven models for revenue forecasting, cash flow, and variance analysis. Team Upskilling & Change Management: Act as the internal "AI Coach" for the finance team. Promote awareness and understanding of AI technologies across the North American finance teams. Provide leadership in ensuring consistent use of the Airbus project methodology. Be an expert to manage high-risk & complex projects while leveraging cross-functional resources and capabilities. Process Optimization & Transformation (30%) Support the transition from legacy processes to modern solutions. Promote the usage of modern interfaces to enhance user experience and data integrity. Prompt Engineering: Act as the team’s lead in crafting and refining prompts for Large Language Models (LLMs) to extract insights and automate financial narratives. Data Integrity: Secure data consistency across ERPs (P11, AP1, PAM, PEA, PFW & EC2) by leveraging AI for real-time anomaly and fraud detection and establish protocols to secure the month-end close and ensure absolute data integrity. Legacy Decommissioning: Spearhead the transition from MS Office-based workflows to AI-integrated plat