About this opportunity
LexisNexis Risk Solutions lists this Software Engineering Manager opportunity in alpharetta, Georgia. Review the employer’s description below for duties, qualifications and application requirements.
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
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 .
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.
#J-18808-Ljbffr
Worksite address
alpharetta, GA, 30239, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.