Are you ready to lead analytics engineers in turning AI from experimentation into trusted, production‑grade capabilities—without compromising security or governance?
About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,
https://risk.lexisnexis.com
About the Team:
This position provides leadership, management, direction, and vision to data engineering and/or employees including offshore contractors/consultants and interns needed to oversee statistical and analytical data analysis. The position works closely with technology peers, product and project leaders/managers, as well as directing the successful completion and delivery of respective data components and any other related deliverables. The position is additionally expected to report progress to senior management. Additional responsibilities may include oversight of the department budget, identifying and supporting talent, and defining resource requirements and allocations.
About the Team
The Enterprise Data Intelligence (EDI) team delivers enterprise-scale analytics, reporting, AI solutions, and data engineering capabilities supporting Finance, Commercial, Product, Operations, and Technology teams.
We are investing heavily in next-generation AI capabilities including:
AI Agents
Agentic software development
Intelligent reporting
Autonomous monitoring
Enterprise integrations
LLM-powered analytics
Natural language data experiences
Data product engineering
This role will help shape how AI transforms both engineering productivity and business decision making.
About the Role
We are seeking an experienced Manager – AI Integration & Agentic Analytics Engineering to lead the development of intelligent enterprise data products, AI-powered reporting solutions, and modern integrations across our business platforms.
This individual will lead a team responsible for connecting enterprise source systems into our cloud data platform while championing the adoption of AI Agents to automate business processes, improve engineering efficiency, and deliver next-generation analytical capabilities.
The ideal candidate combines strong leadership with hands-on technical expertise across data engineering, financial systems, enterprise integrations, dimensional modelling, reporting architecture, and modern AI technologies.
Responsibilities
Leadership
Lead and develop a high-performing team of analytics engineers, data engineers and AI developers.
Build a culture focused on innovation, engineering excellence and continuous improvement.
Coach engineers in modern software engineering, AI-assisted development and best practices.
Drive technical strategy and delivery across multiple concurrent initiatives.
Collaborate with Product Managers, Architecture, Security, Finance and Business stakeholders.
AI & Agentic Development
Champion the adoption of enterprise AI technologies including:
AI Agents
Multi-agent workflows
LLM orchestration
Retrieval Augmented Generation (RAG)
MCP (Model Context Protocol)
Autonomous reporting
Intelligent workflow automation
AI-assisted software engineering
Prompt engineering
Agent evaluation frameworks
Human-in-the-loop AI systems
Identify opportunities where AI can automate manual reporting, business processes and operational decision making.
Develop reusable AI capabilities that accelerate engineering productivity and improve customer outcomes.
Enterprise Integration
Lead integrations across enterprise systems including financial, operational…