AI-Driven Finance Automation Engineer

RELX INC; Dayton (OH); On-site; USD 79,000 - 131,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis Legal & Professional, part of RELX, is hiring an AI Automation Engineer in the US to design, code, and deploy AI-enabled automation for FP&A workflows. You will build data pipelines, integrate finance systems via APIs, and deliver scalable, production-ready solutions that reduce manual effort and improve data quality.

You will own the full lifecycle from concept through deployment, embedding AI into finance reporting and analytics while collaborating with global technologists and

Qualifications

• Hands-on coding in Python/SQL.
• Experience building automation data pipelines and integrations.
• Experience with APIs, JSON and REST in finance environments.
• Able to independently design and implement technical solutions.

Responsibilities

• Design, develop, and deploy AI-driven automation for FP&A workflows.
• Write and maintain code to automate monthly reporting, forecast, consolidation, data validation and analysis.
• Build data pipelines to extract, transform, and load finance data.
• Develop API integrations to connect finance systems, reporting tools and AI services.
• Prototype solutions quickly and move them into production with controls.
• Debug, optimize, and enhance existing automation and reporting.
• Embed AI capabilities into structured finance workflows, including automated commentary and anomaly detection.
• Own the full solution lifecycle from concept to deployment and maintenance.

Skills

Python/SQL

Automation scripts

APIs/JSON/REST

Independent design/implementation

Finance FP&A

Analytical thinking

Production debugging

AI/Advanced analytics

Finance systems/cloud data

Job description

LexisNexis Legal & Professional, part of RELX, is hiring an AI Automation Engineer in the US to design, code, and deploy AI-enabled automation for FP&A workflows. You will build data pipelines, integrate finance systems via APIs, and deliver scalable, production-ready solutions that reduce manual effort and improve data quality.

You will own the full lifecycle from concept through deployment, embedding AI into finance reporting and analytics while collaborating with global technologists and