Manager, AI-Driven Analytics & Data Engineering

LexisNexis Risk Solutions

Alpharetta (GA)

On-site

USD 115,000 - 192,000

Full time

4 days ago
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Job summary

LexisNexis Risk Solutions is seeking a Manager to lead AI integration and agentic analytics engineering, directing a team of analytics and data engineers. You will drive the delivery of intelligent data products, AI-powered reporting, and modern integrations across enterprise platforms.

The role combines leadership with hands-on data engineering, cloud platforms, and financial/operational reporting. You will collaborate with stakeholders and guide architectural decisions to scale analytics for

Qualifications

  • Bachelor’s degree in CS/Engineering or related discipline.
  • Significant experience leading technical engineering teams.
  • Experience delivering enterprise data platforms.
  • Strong SQL and Python skills.
  • Experience with APIs and enterprise integrations.

Responsibilities

  • Lead and develop a high-performing analytics team and drive strategy.
  • Champion enterprise AI adoption and agentic analytics.
  • Lead integrations across ERP, CRM, and financial systems.
  • Drive modern ETL/ELT pipelines and data governance.
  • Deliver scalable financial and operational reporting.
  • Design enterprise data models and semantic representations.
  • Promote platform reliability and observability.

Skills

SQL
Python
Cloud data engineering
APIs & integrations
Stakeholder management
Leadership

Education

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

Tools

Databricks
Azure Data Lake Storage
Power BI
Kubernetes
REST APIs

Job description

LexisNexis Risk Solutions is seeking a Manager to lead AI integration and agentic analytics engineering, directing a team of analytics and data engineers. You will drive the delivery of intelligent data products, AI-powered reporting, and modern integrations across enterprise platforms.

The role combines leadership with hands-on data engineering, cloud platforms, and financial/operational reporting. You will collaborate with stakeholders and guide architectural decisions to scale analytics for

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