Software Engineering Manager

LexisNexis Risk Solutions; Alpharetta (GA); On-site; USD 115,000 - 192,000; Full time

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

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,

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
• Autonomous monitoring
• Enterprise integrations
• LLM-powered analytics

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
• LLM orchestration
• Retrieval Augmented Generation (RAG)
• AI‑assisted software engineering
• 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.

Lead integrations across enterprise systems including financial, operational and commercial platforms such as:

• ERP systems
• CRM platforms
• Contract management systems
• Operational applications
• Internal APIs
• Third‑party SaaS platforms
• Event‑driven architectures

Design reliable and scalable ingestion frameworks supporting both batch and real‑time processing.

Drive engineering excellence across:

• Modern ETL / ELT
• Lakehouse architectures
• Metadata management
• Data governance
• Data observability
• Performance optimisation
• CI/CD
• Infrastructure as Code
• Champion reusable engineering frameworks and platform standardization.

Financial & Enterprise Reporting

Lead delivery of enterprise reporting supporting Finance and executive stakeholders.

• Operational reporting
• KPI scorecards
• Regulatory reporting
• Forecasting
• Planning
• Variance analysis

Ensure reporting is trusted, performant and capable of supporting AI‑powered natural language querying.

• Data Vault concepts
• Slowly Changing Dimensions
• Master Data Management

Partner with business stakeholders to ensure consistent enterprise definitions.

Platform & Technology

Drive adoption of modern cloud technologies including:

• Databricks
• Unity Catalog
• Power BI
• Python
• SQL
• Spark
• PySpark
• REST APIs
• Git
• Terraform
• Docker

Operational Excellence

Develop monitoring and AI‑powered observability across enterprise data products.

Improve:

• Platform reliability
• Release automation
• Performance monitoring

Use AI to proactively detect anomalies before they impact customers.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related discipline.
• Significant experience leading technical engineering teams.
• Strong experience with cloud data engineering.
• 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.

Preferred

Experience with one or more of:

• Databricks
• Microsoft Fabric
• Generative AI
• AI Agents
• MCP
• LangGraph
• LangChain
• Semantic Kernel
• Knowledge Graphs
• SAP
• Snowflake
• dbt
• Event Hub
• Kafka

Successful candidates will demonstrate:

• Strategic thinking
• Technical leadership
• Customer obsession
• Coaching and mentoring
• Strong business acumen
• Cross‑functional collaboration

What You’ll Deliver

• AI-powered enterprise reporting capabilities.
• Intelligent agentic workflows that automate manual business processes.
• Scalable financial and operational data products.
• Trusted semantic models supporting self‑service analytics.
• High‑quality engineering standards across the analytics platform.
• Increased engineering productivity through AI‑assisted software development.
• Enterprise AI capabilities that transform how business users interact with data.

Why Join Us

This is a unique opportunity to help define the future of enterprise analytics engineering. You will lead the adoption of AI agents, intelligent automation, and modern cloud data platforms that will fundamentally change how enterprise reporting, financial analytics, and software engineering are delivered across the organisation.

You will work at the intersection of AI, data engineering, cloud platforms, and business transformation, helping shape the next generation of intelligent enterprise systems.

Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.