AI Integration & Analytics Engineering Manager

LexisNexis Risk Solutions

Alpharetta (GA)

On-site

USD 115,000 - 192,000

Full time

2 days ago
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Job summary

LexisNexis Risk Solutions seeks an experienced Manager to lead AI integration and agentic analytics engineering, driving enterprise data products and AI-powered reporting across business platforms. You will guide a team connecting source systems to a cloud data platform, promoting AI Agents to automate processes and improve engineering efficiency.

The ideal candidate combines strong leadership with hands‑on expertise in data engineering, financial systems, and modern AI technologies,

Qualifications

  • Bachelor’s degree or equivalent in a related field.
  • Significant experience leading technical engineering teams.
  • Strong cloud data engineering experience.
  • Experience integrating enterprise source systems.
  • Strong SQL and Python skills.
  • Experience building scalable reporting solutions.
  • Experience with dimensional modelling.
  • Experience working with APIs and enterprise integrations.
  • Excellent stakeholder management and communication skills.

Responsibilities

  • Lead and develop a high‑performing team of analytics engineers, data engineers and AI developers.
  • Drive AI integration and agentic analytics capabilities across the platform.
  • Oversee enterprise data integrations across ERP/CRM/contract systems.
  • Deliver scalable, trusted enterprise reporting for Finance and executives.
  • Champion modern cloud data architectures, data governance and observability.

Skills

Leadership
SQL
Python
Enterprise integrations
Cloud data engineering
Stakeholder management

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline

Tools

Databricks
Unity Catalog
Power BI
Spark
REST APIs
Git
Terraform
Docker

Job description

LexisNexis Risk Solutions seeks an experienced Manager to lead AI integration and agentic analytics engineering, driving enterprise data products and AI-powered reporting across business platforms. You will guide a team connecting source systems to a cloud data platform, promoting AI Agents to automate processes and improve engineering efficiency.

The ideal candidate combines strong leadership with hands‑on expertise in data engineering, financial systems, and modern AI technologies,

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