AI Integration & Analytics Engineering Manager

Talent Octopusventures; Alpharetta (GA); On-site; USD 115,000 - 192,000; Full time

Job summary

LexisNexis Risk Solutions is seeking a Manager – AI Integration & Agentic Analytics Engineering to lead the development of intelligent enterprise data products, AI-powered reporting, and modern integrations across business platforms.

You will head a team connecting enterprise source systems to our cloud data platform, champion AI Agents adoption to automate processes, and drive engineering efficiency with modern AI technologies. Strong leadership + hands-on data engineering is required.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, Information Systems or related field.
• Significant experience leading technical engineering teams on enterprise data platforms.
• Experience delivering cloud-based data engineering solutions and enterprise reporting.

Responsibilities

• Lead analytics and data engineering teams to deliver AI-powered enterprise data products and reporting solutions.
• Oversee integrations across enterprise source systems and data platforms.
• Collaborate with stakeholders across Finance, Operations, Product, and Security.

Skills

Leadership

Stakeholder management

SQL

Python

Data engineering

Enterprise reporting

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Factory

Azure Data Lake Storage

Power BI

Azure OpenAI

Python

SQL

Spark

PySpark

REST APIs

Git

Azure DevOps

Terraform

Docker

Kubernetes

Job description

LexisNexis Risk Solutions is seeking a Manager – AI Integration & Agentic Analytics Engineering to lead the development of intelligent enterprise data products, AI-powered reporting, and modern integrations across business platforms.

You will head a team connecting enterprise source systems to our cloud data platform, champion AI Agents adoption to automate processes, and drive engineering efficiency with modern AI technologies. Strong leadership + hands-on data engineering is required.