Manager, AI Integration & Agentic Analytics

RELX

Alpharetta (GA)

On-site

USD 115,000 - 192,000

Full time

29 hours ago
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Job summary

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

You will lead a team of analytics engineers and data engineers, collaborating with product, security, and finance to deliver scalable analytics and trusted reporting optimized for AI-powered workflows.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline required.
  • Significant experience leading technical engineering teams and delivering enterprise data platforms.
  • Strong SQL and Python skills; proven experience with APIs and enterprise integrations.
  • Experience building scalable enterprise reporting solutions and working with data governance.
  • Excellent stakeholder management and communication abilities.

Responsibilities

  • Lead analytics engineers, data engineers, and AI developers to deliver enterprise data products.
  • Drive technical strategy and multiple concurrent initiatives with business stakeholders.
  • Champion adoption of enterprise AI technologies, including AI Agents and orchestration.
  • Oversee data integration across ERP, financial and CRM platforms; ensure data quality and governance.

Skills

Leadership
SQL
Python
APIs & integrations
Stakeholder management
Communication
Cloud data platforms

Education

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

Tools

Databricks
Azure Data Factory
Power BI
Azure OpenAI
Kafka
dbt
Snowflake

Job description

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

You will lead a team of analytics engineers and data engineers, collaborating with product, security, and finance to deliver scalable analytics and trusted reporting optimized for AI-powered workflows.

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