Lead Analytics Engineer — AI in Production & Governance

Relx Plc; Alpharetta (GA); On-site; USD 115,000 - 192,000; Full time

Benefits offered by this job

Medical Insurance

Life Insurance

Flexible Working Arrangements

Learning & Development Resources

Annual incentive bonus

Job summary

LexisNexis Risk Solutions in Alpharetta, GA seeks a Manager of Software Engineering to lead analytics engineers, embedding AI into production while upholding strong InfoSec and data governance standards. You will drive collaboration with product and platform teams to deliver scalable analytics and AI solutions.

This role requires leadership, deep data engineering experience, and a proven ability to balance innovation with control in a fast-paced environment.

Qualifications

• Bachelor’s Degree (Engineering/Computer Science preferred but not required) or equivalent experience.
• Proven experience in Data and Scoring Engineering, data management and data strategy.
• Strong background in analytics engineering / data engineering (SQL, data modelling, modern data platforms) and AI in production.

Responsibilities

• Team Leadership & Delivery: Lead analytics engineers, ensure clear priorities and delivery.
• AI Adoption in Analytics: Prioritize high-impact AI use cases and embed AI into production pipelines.
• InfoSec & Governance: Ensure AI/data usage complies with InfoSec and regulatory requirements.
• Data Quality & Control: Establish validation frameworks and maintain governance across analytics assets.
• Stakeholder Engagement: Align product/business/platform priorities with scalable analytics.

Skills

Analytics engineering

Data engineering

Leadership

Communication

Education

Bachelor’s Degree (Engineering/CS) or equivalent

Tools

Databricks

Synapse

Power BI

Job description

LexisNexis Risk Solutions in Alpharetta, GA seeks a Manager of Software Engineering to lead analytics engineers, embedding AI into production while upholding strong InfoSec and data governance standards. You will drive collaboration with product and platform teams to deliver scalable analytics and AI solutions.

This role requires leadership, deep data engineering experience, and a proven ability to balance innovation with control in a fast-paced environment.