Finance Transformation Analyst - AI & Emerging Tech (Contract)

Segula Technologies•Herndon, VA

1d•Hybrid

About The Position

Segula Technologies is seeking a Finance Transformation Analyst - AI & Emerging Tech (Contract) to join their Finance Transformation Team in Herndon, VA. This role is focused on leading the integration of Artificial Intelligence within the Finance function, pioneering 'Agentic Finance' through AI agents, Large Language Models (LLMs), and machine learning to automate complex workflows. The position aims to build the Future of Finance by identifying, developing, and scaling AI use cases for operational excellence across North America. Responsibilities include ensuring financial systems and processes comply with laws and regulations, maintaining the integrity and legal compliance of financial operations, and managing the full lifecycle of projects using the Airbus project management methodology. The role involves interaction with various Airbus Functions and stakeholders.

Requirements

Bachelor's Degree in Finance, Business Analytics, Accounting, Information Systems or related field of study.
2–5 years of experience in Finance or Accounting.
Proven experience in financial analysis combined with a strong background in implementing transformation and AI-driven projects.
Deep understanding of the "Why" behind the numbers before automating the "How."
Must be legally eligible to work in the United States and qualify as a U.S. Person under ITAR regulations, such as a U.S. citizen, lawful permanent resident/Green Card holder, or other protected individual as defined by applicable law.
Fluent English
Strong business acumen and the ability to translate business needs into human capital strategies, programs and initiatives.
Demonstrated ability to interface effectively at all levels of the organization and across multiple sites.
Proven proponent of technology and utilizing data to drive decision making.
Demonstrated ability to drive culture and serve as a change agent.
Progressive thinker and strong problem-solver with demonstrated ability to manage multiple projects/tasks from inception to completion in a changing environment.
Analytical abilities and are capable of synthesizing and prioritizing a large volume of information.
Use logic and trusted expertise to derive a variety of scenarios and solutions.
Think critically to make clear, well-reasoned and rational decisions.
Convey confidence, ease and enthusiasm with a variety of audiences.
Promote a free flow of information throughout the organization.
Accountability and can take personal ownership for delivering and exceeding commitments.
Hold yourself to the highest standard for performance necessary to achieve results.

Nice To Haves

A Master's degree is highly preferred.
Additional Languages appreciated (German, Spanish and French etc.)
Previous Airbus work experience in finance transformation
2+ years in Finance/Accounting combined with practical experience in Python, SQL, and LLM frameworks.
Hands-on experience with Agentic AI to automate multi-step financial workflows.
Proficiency in SAP environments (S4Hana, Fiori GUI), SAP Analytics Cloud (SAC), and visualization tools like Tableau.
Experience integrating AI within Google Cloud Vertex AI or similar enterprise suites and ERP environments.
Strong business acumen with the ability to translate complex organizational needs into actionable human capital strategies and digital programs.

Responsibilities

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.
Build ML-driven models for revenue forecasting, cash flow, and variance analysis.
Act as the internal "AI Coach" for the finance team, promoting awareness and understanding of AI technologies across 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.
Support the transition from legacy processes to modern solutions.
Promote the usage of modern interfaces to enhance user experience and data integrity.
Act as the team’s lead in crafting and refining prompts for Large Language Models (LLMs) to extract insights and automate financial narratives.
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.
Spearhead the transition from MS Office-based workflows to AI-integrated platforms treating data as a product rather than a file.
Develop and execute meticulous project plans, encompassing scope definition, resource allocation, risk assessment, and change management strategies, ensuring on-time and within-budget delivery.
Create and maintain detailed process documentation, including configuration guides, user manuals, and standard operating procedures, fostering knowledge transfer and ensuring long-term system sustainability.
Collaborate closely with the European extended team and local stakeholders across Functions and Divisions to ensure regional alignment with global standards.
Promote awareness and understanding of AI technologies across the North American finance community.
Ensure AI automation maintains the integrity of the Airbus SoD matrix and internal control frameworks.
Enforce the "Airbus Way of Working" by ensuring AI tools do not create "shadow processes" but instead reinforce the core Finance Transformation strategy.
Secure data integrity and consistency for financial reporting through the use of advanced data tools.
Regularly audit algorithms for transparency, fairness, and strict regulatory compliance (ICSA/SOX).
Manage global rollouts, system upgrades, and high-level support for finance transformation throughout the project lifecycle.
Facilitate seamless Year-end and Period-end closing activities, empowering end-users to execute complex tasks and reporting.
Lead Root Cause Analysis (RCA), After-Action Reviews (AAR), and Post-Implementation Reviews to address outcomes and drive continuous process improvement.
Conduct extensive training sessions and author comprehensive user manuals and documentation for business stakeholders.
Apply advanced analytical reasoning to prioritize high-volume data and develop strategic, multi-scenario solutions.
Communicate clearly, concisely, and with impact.
Embody and foster a play to win and win to grow mindset, even on the toughest projects.
Serve as a change agent.