Mgr Software Engineering

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:

Lexis Nexis 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 Lexis Nexis Risk at the link below,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 integrationsLLM-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 workflowsLLM orchestration

Retrieval Augmented Generation (RAG)
MCP (Model Context Protocol)
Autonomous reporting

Intelligent workflow automationAI-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…