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: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 TeamThe 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 AgentsAgentic software developmentIntelligent reportingAutonomous monitoringEnterprise integrationsLLM-powered analyticsNatural language data experiencesData product engineeringThis role will help shape how AI transforms both engineering productivity and business decision making.About the RoleWe 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.ResponsibilitiesLeadershipLead 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 DevelopmentChampion the adoption of enterprise AI technologies including:AI AgentsMulti-agent workflowsLLM orchestrationRetrieval Augmented Generation (RAG)MCP (Model Context Protocol)Autonomous reportingIntelligent workflow automationAI-assisted software engineeringPrompt engineeringAgent evaluation frameworksHuman-in-the-loop AI systemsIdentify 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 IntegrationLead integrations across enterprise systems including financial, operational and commercial platforms such as:ERP systemsFinancial platformsCRM platformsContract management systemsOperational applicationsInternal APIsThird-party SaaS platformsEvent-driven architecturesStreaming data platformsDesign reliable and scalable ingestion frameworks supporting both batch and real-time processing.Data EngineeringDrive engineering excellence across:Modern ETL / ELTData pipelinesLakehouse architecturesData qualityMetadata managementData governanceData observabilityData lineagePerformance optimisationCI/CDInfrastructure as CodeChampion reusable engineering frameworks and platform standardization.Financial & Enterprise ReportingLead delivery of enterprise reporting supporting Finance and executive stakeholders.Develop scalable semantic models supporting:Financial reportingOperational reportingExecutive dashboardsKPI scorecardsRegulatory reportingForecastingPlanningVariance analysisEnsure reporting is trusted, performant and capable of supporting AI-powered natural language querying.Data ModellingDesign enterprise-grade data models including:Kimball dimensional modellingStar schemasSnowflake schemasData Vault conceptsSemantic modellingSlowly Changing DimensionsMaster Data ManagementReference dataMetrics modellingPartner with business stakeholders to ensure consistent enterprise definitions.Platform & TechnologyDrive adoption of modern cloud technologies including:DatabricksDelta LakeUnity CatalogAzure Data FactoryAzure Data Lake StoragePower BIAzure AIAzure OpenAIPythonSQLSparkPySparkREST APIsGitAzure DevOpsTerraformDockerKubernetesOperational ExcellenceDevelop monitoring and AI-powered observability across enterprise data products.Improve:Platform reliabilityData qualityIncident responseEngineering productivityOperational intelligenceRelease automationPerformance monitoringUse AI to proactively detect anomalies before they impact customers.Required QualificationsBachelor’s degree in Computer Science, Engineering, Information Systems or related discipline.Significant experience leading technical engineering teams.Experience delivering enterprise data platforms.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 delivering financial reporting solutions.Experience working with APIs and enterprise integrations.Excellent stakeholder management and communication skills.PreferredExperience with one or more of:DatabricksAzure Data PlatformMicrosoft FabricAzure OpenAIGenerative AIAI AgentsMCPLangGraphLangChainSemantic KernelVector databasesKnowledge GraphsRAG architecturesFinancial ERP systemsSAPOracle FinancialsWorkday FinancialsSnowflakedbtEvent HubKafkaLeadership CompetenciesSuccessful candidates will demonstrate:Strategic thinkingTechnical leadershipInnovationCustomer obsessionBias for actionContinuous improvementCoaching and mentoringStrong business acumenData-driven decision makingCross-functional collaborationWhat You’ll DeliverAI-powered enterprise reporting capabilities.Intelligent agentic workflows that automate manual business processes.Modern integrations across enterprise source systems.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 UsThis 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.Risk Benefit StatementLearn 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 View phone number on click.appcast.io.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.USA Job Seekers:EEO Know Your Rights.SummaryLocation: Alpharetta, GAType: Full time