Finance AI Automation Engineer – FP&A Data Pipelines

LexisNexis; Dayton (OH); Híbrido; USD 79.000 - 131.000; Jornada completa

Descripción de la vacante

LexisNexis Legal & Professional in the United States is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation and data solutions within FP&A. This hands-on role focuses on coding, data pipelines, API integrations, and embedding AI into finance processes.

You will own the full lifecycle from concept to production, automate monthly reporting, forecasts, and data validation, and work across finance systems to improve accuracy and speed.

Formación

• Hands-on development with Python, SQL or similar.
• Experience building automation scripts and data pipelines.
• Experience with APIs and structured data (JSON/REST).
• Ability to independently design and implement technical solutions.
• Experience in Finance/FP&A environments.
• Strong analytical and problem-solving capability.
• Experience embedding AI into workflows.

Responsabilidades

• Design, develop, and deploy AI‑driven automation solutions for FP&A workflows.
• Write and maintain code to automate monthly reporting, forecasts and consolidation.
• Build and maintain data pipelines to extract, transform, and load finance data.
• Develop integrations using APIs to connect finance systems and AI services.
• Prototype solutions and move them into production with proper controls.
• Debug, optimize, and enhance existing automation and reporting solutions.
• Embed AI capabilities into structured finance workflows and anomaly detection.
• Take ownership of the full solution lifecycle from concept to maintenance.

Conocimientos

Python

SQL

Data pipelines

APIs & JSON

Finance / FP&A

Problem solving

AI embedding

Descripción del empleo

LexisNexis Legal & Professional in the United States is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation and data solutions within FP&A. This hands-on role focuses on coding, data pipelines, API integrations, and embedding AI into finance processes.

You will own the full lifecycle from concept to production, automate monthly reporting, forecasts, and data validation, and work across finance systems to improve accuracy and speed.