Careers at RELX

Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform? Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com. About the Team You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one. About the Role This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads. You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform. Responsibilities Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines. Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients. Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes. Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment. Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution. Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling. Qualifications BS in Computer Science/Engineering or equivalent experience. 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team. Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines. Exposure to AI-assisted development workflows. Technical Skills Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices. Proficiency in JavaScript/TypeScript and React for modern, component-based front ends. Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery. Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks. Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies. Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes. Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development. AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. 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. USA Job Seekers: EEO Know Your Rights .

Are you looking to start your software engineering career while working with modern technologies and experienced mentors? Would you enjoy building impactful solutions, developing your technical skills, and contributing to products that help customers make better decisions? About the Business LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About our Team We are a technology team responsible for designing, building, and supporting a centralized platform that powers all customer transactions. Every customer request and response flows through this platform, making it a critical backbone for seamless, reliable interactions across our ecosystem. The platform currently supports over 1,000 customers and integrates with the full suite of LexisNexis Insurance products, ensuring consistent, scalable, and secure connectivity across services. Our organization is structured into multiple squads, each with a dedicated area of focus. These squads are composed of engineers who not only drive new development and innovation, but also provide end-to-end operational support, including maintaining and optimizing production environments. This dual focus enables us to deliver high-quality solutions while ensuring stability, performance, and continuous improvement of the platform. About the Role As an entry-level Software Engineer, you will contribute to the design, development, and maintenance of software components within a specific product area. Working closely with experienced engineers, you will build technical expertise, apply development best practices, and help deliver high-quality software solutions in a collaborative environment. Responsibilities Write and review portions of detailed specifications for the development of system components of simple complexity. Under the guidance of senior-level engineers, successfully implement development processes, coding best practices and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Complete bug fixes and resolve basic technical issues as necessary. Keep abreast of new technology developments. All other duties as assigned. Requirements Basic knowledge of software development methodologies (e.g., Agile, Waterfall). Basic knowledge of data manipulation languages. Experience building REST APIs and solid experience with SQL. Knowledge of data storage subsystems. Hands-on experience working with Java 21, Spring Boot and Spring Framework. Knowledge of test-driven development. Ability and desire to learn new processes and technologies. Verbal and written communication skills, problem solving skills and interpersonal skills. U.S. National Base Pay Range: $59,200 - $98,600. 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. USA Job Seekers: EEO Know Your Rights .

Are you passionate about building resilient, scalable infrastructure that protects critical business data and services? Do you enjoy solving complex storage, backup, and hybrid cloud challenges while driving operational excellence and innovation? About the Business LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/ About our Team The Data Management Team owns the design, implementation, operation, and continuous improvement of LNRS enterprise-wide storage and data protection capabilities. This encompasses mission-critical infrastructure spanning: On-premises and colocation storage arrays (Dell Unity, PowerStore, PowerScale, PowerVault platforms), Enterprise backup and recovery solutions (Commvault, Avamar, Data Domain) with immutable/WORM storage for ransomware resilience and compliance, Fiber Channel SAN fabric, zoning, cabling, and data center hardware infrastructure, Hybrid cloud storage and backup services (AWS and Azure) supporting migrations and modernization, Automation, scripting (Bash/Python/Terraform), monitoring, reporting, and operational excellence initiatives. This infrastructure directly enables data availability, regulatory compliance, business continuity, and ransomware protection for the entire organization. About the Role The Senior III, Systems Engineer position exists to provide direct input to project plans, schedules, and methodology in the operation and maintenance of multiple system environments, with a strong emphasis on enterprise data storage, backup and recovery solutions, and hybrid cloud infrastructure in support of the data management team. The candidate responds to system management alerts to handle system/operations exceptions within the assigned enterprise systems of product offerings. This position is also responsible for triage change management support and contributes to strategic planning and operational excellence for data protection and storage optimization. Responsibilities Provide strategic input to project plans, schedules, and operational methodologies for the maintenance, optimization, and evolution of enterprise storage, backup/recovery, and hybrid cloud environments supporting the data management team. Monitor system management alerts and respond promptly to handle storage, backup, infrastructure, and data protection exceptions, ensuring high availability, data integrity, and minimal business impact. Diagnose complex system, storage performance, and data protection problems using logs, traces, performance metrics (I/O, latency, throughput), and advanced diagnostic tools. Manage and administer enterprise storage arrays (Dell Unity, PowerStore, PowerScale, and equivalent platforms), including provisioning, volume/LUN management, replication, snapshots, tiering, and proactive capacity planning. Manage and administer enterprise backup and recovery solutions (Dell Avamar, Commvault, and cloud-native services), including policy design, job scheduling, monitoring, success rate reporting, and regular restore testing/validation. Manage and administer brocade fiber channel switches, including experience with data migrations and SANNav software. Switch CLI experience a plus. Design, implement, and manage cloud storage and backup solutions on Microsoft Azure and Amazon Web Services (AWS), optimizing for performance, security, compliance, scalability, and cost efficiency. Develop, maintain, and optimize automation scripts, workflows, and infrastructure-as-code (IaC) solutions using Bash, Python, Terraform, and complementary tools to provision storage, automate backups, orchestrate data protection, and reduce manual effort. Implement and manage immutable storage technologies, WORM (Write Once Read Many) configurations, and object-lock policies to protect critical data against ransomware, accidental deletion, and to meet regulatory retention requirements. Perform fiber channel infrastructure administration including cabling standards and best practices, zoning, LUN masking, multipathing, and SAN fabric troubleshooting to maintain high-performance, resilient storage connectivity. Lead or significantly contribute to the architectural design, solutioning, and long-term roadmap development for storage, data protection, backup, and hybrid cloud infrastructure aligned with business objectives and emerging technologies. Provide strategic vision and actionable recommendations for the data management department, identifying opportunities for technology adoption, process automation, risk reduction, and continuous improvement. Manage capital expenditures (CapEx) and operational expenditures (OpEx) for storage, backup, and related infrastructure projects, including budgeting, forecasting, vendor negotiations, TCO analysis, and ensuring fiscal accountability and ROI. Create, maintain, and govern comprehensive technical documentation including architecture diagrams, configuration standards, SOPs, runbooks, disaster recovery plans, and knowledge base articles to ensure operational consistency and knowledge retention. Mentor, coach, and train team members through structured knowledge transfer, documentation, hands-on labs, and workshops on storage administration, backup best practices, automation techniques, cloud technologies, and advanced troubleshooting to build team capability and bench strength. Install, configure, patch, troubleshoot, and optimize system components, storage software, backup agents, cloud connectors, and related program products across heterogeneous Linux, UNIX, and Windows environments. Develop, review, and optimize scripts, job controls, orchestration workflows, and automation for data movement, backup/recovery jobs, system maintenance, and operational tasks to maximize efficiency and reliability. Collaborate closely with application development, network, security, cloud, and vendor teams to coordinate changes, integrations, migrations, and issue resolution while consistently meeting deadlines, SLAs, and compliance requirements. Ensure rigorous adherence to change management, incident, problem, and request processes, including proper creation, impact assessment, documentation, approval, execution, testing, and closure of all changes and service requests. Demonstrate deep understanding of storage systems (block, file, object), backup technologies, cloud platforms, operating system internals (Linux/UNIX kernels, file systems), Windows infrastructure, virtualization, and performance optimization principles. All other duties as assigned to support the mission and objectives of the data management team and enterprise infrastructure operations. Requirements: Systems Engineering experience, with demonstrated hands-on expertise in enterprise storage array administration, backup and recovery solutions, automation, and hybrid cloud infrastructure. BS in Engineering, Computer Science, Information Technology, or a related field; or equivalent professional experience required. Enterprise storage administration and optimization: Dell Unity, PowerStore, PowerScale (or equivalent enterprise block, file, and scale-out NAS platforms). Backup, recovery, and data protection platforms: Dell Avamar, Commvault, and cloud-native backup/recovery services with proven restore validation experience. Automation, scripting, and infrastructure-as-code: Bash, Python, Terraform, Ansible (or equivalent) for provisioning, orchestration, and operational efficiency. Public cloud storage and hybrid cloud architectures: Microsoft Azure (Blob Storage, Azure Files, Managed Disks, Azure Backup) and Amazon Web Services (S3, EBS, EFS, AWS Backup, Glacier). Immutable storage, WORM policies, object lock, and ransomware-resilient data protection architectures and strategies. Fiber Channel SAN infrastructure: cabling standards, zoning, multipathing, fabric management, and end-to-end connectivity troubleshooting. Systems and storage architecture design, solution development, and strategic technology roadmapping for on-premises and hybrid cloud environments. Financial and vendor management: CapEx/OpEx budgeting, forecasting, TCO analysis, RFP/RFI processes, and contract negotiation for storage and data protection solutions. Technical writing and documentation excellence: architecture diagrams, configuration baselines, SOPs, runbooks, DR plans, and knowledge management systems. Team development and enablement: mentoring, training program development, knowledge transfer, and building organizational capability in storage, backup, automation, and cloud technologies. Multi-platform systems engineering: Linux (RHEL, Ubuntu, etc.), UNIX variants, Windows Server, virtualization (VMware/Hyper-V), containers, and software-defined infrastructure. Advanced monitoring, observability, alerting, logging, and problem management tools; strong root-cause analysis and performance tuning expertise. IT Service Management (ITIL), change/incident/problem management processes, and IT governance/compliance frameworks. Exceptional analytical, problem-solving, communication (written and verbal), collaboration, and stakeholder management skills across technical and business audiences. U.S. National Base Pay Range: $71,600 - $119,400. 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. USA Job Seekers: EEO Know Your Rights .

Are you a technology leader who enjoys solving complex engineering challenges while mentoring and developing high-performing teams? Do you thrive in a role where you can provide technical direction, drive innovation, and influence the delivery of large-scale software solutions? 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 https://risk.lexisnexis.com/ About the Team RiskNarrative is a global platform within the Financial Crime and Compliance division of LexisNexis Risk Solutions, with teams distributed across the United States, United Kingdom, and Vietnam. This role is part of the US-based squad. RiskNarrative is a B2B risk orchestration platform that enables organizations to assess and manage risks throughout the customer lifecycle. The platform supports consumer onboarding, transaction monitoring, fraud prevention, and financial crime compliance by orchestrating data, decisioning, and workflow processes. The US squad is responsible for driving new product initiatives, enhancing the performance and scalability of the orchestration engine, and overseeing production deployments and ongoing platform maintenance. The squad is a cross-functional team comprising software engineers, quality assurance engineers, a product owner, and a project manager, working collaboratively to deliver secure, scalable, and high-quality solutions. About the Role This position serves as a subject matter expert for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. The position has direct reports. Responsibilities Write and review portions of detailed specifications for the development of system components of moderate complexity. Serve as the initial point of escalation for software development issues within specific areas of responsibility. Interface with other technical personnel or team members to finalize requirements. Complete complex bug fixes. Work closely with other development team members to understand moderately complex product requirements and translate them into software designs. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve complex technical issues as necessary. Mentor and/or train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. Keep abreast of new technology developments. Design and work with complex data models. Carry out management responsibilities in accordance with the organization’s policies, procedures, and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; and addressing complaints and resolving problems. Ensure all staff are provided with training and resources needed to perform their jobs to the most outstanding degree possible. Ensure all staff is provided with frequent feedback and coaching in order to meet and exceed individual and team performance goals consistently. Manage and encourage new ideas from staff to foster improvements through innovations. Empower the staff to be accountable and responsible for their own actions and decisions Requirements BS Engineering/Computer Science or equivalent experience required Software Engineering experience along with development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, and .Net. Having good knowledge in industry best practices in development. Ability to partner and lead internal and external technology resources in solving complex business needs. Ability to design and work with complex data models. Knowledge of multiple data storage subsystems and in using and developing applicable tool sets. Advanced knowledge of software development methodologies (e.g., Agile, Waterfall). Strong experience with various resource models such as Managed Services and/or Staff Augmentation. Knowledge in industry best practices in external resource development. Ability to partner and lead internal and external technology resources in solving complex business needs. Test-driven development along with strong research skills. Strong proficiency with data manipulation language including optimization techniques. Strong understanding of normalized/dimensional data modeling principles. Ability to write and review portions of detailed specifications for the development of complex system components. Experience in setting, communicating, implementing, and achieving business objectives and goals through the direct management of others. Posses good experience in organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity. Problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making. Good communication (verbal and written) and customer service skills along with interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediums. 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. USA Job Seekers: EEO Know Your Rights .

Are you passionate about leading engineering teams to deliver high-quality software solutions that solve complex business challenges? Do you enjoy mentoring engineers, driving technical excellence, and collaborating across teams to create scalable, innovative products? 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 https://risk.lexisnexis.com/ About our Team The engineering team develops and supports a portfolio of web and API-based fraud prevention products that process millions of transactions with low-latency, real-time risk scoring and rules-based decisioning. The team also develops and maintains customer and operational tools for transaction management, fraud feedback, and platform administration while generating behavioral intelligence and risk insights at scale. Supporting both real-time and batch processing workloads, the team continuously works on enhancing fraud detection capabilities through configurable, data-driven rules and scoring models that enable rapid innovation and business agility. About the Role As a Software Engineering Lead, you will serve as a subject matter expert while leading a team of software engineers in the design, development, and delivery of complex applications and systems. You will combine hands-on technical leadership with people management responsibilities, helping to drive engineering excellence, mentor developers, and deliver business-critical solutions in a collaborative environment. Responsibilities Serve as the initial point of escalation for software development issues within specific area of responsibility. Interface with other technical personnel or team members to finalize requirements. Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete complex bug fixes. Work closely with other development team members to understand moderately complex product requirements and translate them into software designs. Successfully implement development processes, coding best practices, and code reviews. Operate in various development environments (Agile, Waterfall, CI/CD etc.) while collaborating with key stakeholders. Resolve complex technical issues as necessary. Mentor and/or train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles. Keep abreast of new technology developments. Design and work with complex data models. Carry out management responsibilities in accordance with the organization’s policies, procedures, and applicable laws. Ensure all staff is provided with training and resources needed to perform their jobs to the most outstanding degree possible. Manage and encourage new ideas from staff to foster improvements through innovations. Empower the staff to be accountable and responsible for their own actions and decisions. Requirements 7+ years of Software Engineering experience and 2+ years of software engineering lead experience BS Engineering/Computer Science or equivalent experience required Advanced knowledge of software development methodologies (e.g., Agile, Waterfall, DORA). Strong experience with various resource models such as Managed Services and/or Staff Augmentation. Strong knowledge in industry best practices in external resource development. Ability to partner and lead internal and external technology resources in solving complex business needs. Test-driven development and strong research skills. Strong proficiency with data manipulation language including optimization techniques. Strong understanding of normalized/dimensional data modeling principles. Ability to design and work with complex data models. Strong knowledge of multiple data storage subsystems. Expertise in development languages including but not limited to: C#/.NET, JavaScript, HTML, XML, SQL, Linux. Strong knowledge in industry best practices in development. Knowledge in using and developing applicable tool sets. Ability to write and review portions of detailed specifications for the development of complex system components. Strong skills in setting, communicating, implementing, and achieving business objectives and goals through the direct management of others. Strong organization/project planning, time management, and change management skills across multiple functional groups and departments, and strong delegation skills involving prioritizing and reprioritizing projects and managing projects of various size and complexity. Strong problem-solving experience involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues; prior success extracting/translating findings into alternatives/solutions; and identifying risks/impacts and schedule adjustments to facilitate management decision-making. Strong communication (verbal and written) and customer service skills. Strong interpersonal, communication, and presentation skills applicable to a wide audience including senior and executive management, customers, etc., including diction/terminology and presenting information in a concise and effective manner to clients, management, and various departments using assorted communication mediums. 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. USA Job Seekers: EEO Know Your Rights .

Ready to lead the reliability, scalability, and operational excellence of mission-critical platforms while shaping the future of Site Reliability Engineering? Would you like to mentor high-performing engineers, drive cloud modernization, and influence enterprise-wide engineering practices in a highly collaborative environment? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance About our Team The ICS (Insurance Core Services) team is responsible for establishing and driving reliability, observability, automation, and operational excellence standards across Insurance technology platforms. The team partners closely with application, infrastructure, database, and cloud engineering teams to improve platform availability, scalability, performance, and resilience. ICS leads strategic initiatives including SLO/SLI implementation, observability platform adoption, cloud modernization, operational readiness reviews, performance engineering, and reliability automation. The team also develops reusable engineering frameworks, standards, and best practices that enable product teams to build and operate highly reliable cloud-native services at scale. The SRE Lead will play a key role in shaping reliability strategy, mentoring engineers, driving cross-functional initiatives, and partnering with business and technology stakeholders to improve service reliability and operational maturity across the organization. About the Role As a Site Reliability Engineering Lead, you will provide technical leadership and strategic direction for Site Reliability Engineering initiatives across multiple product portfolios. You will lead a team of SREs responsible for ensuring the reliability, scalability, security, performance, and operational excellence of mission-critical applications and platforms. The SRE Lead will partner closely with engineering, architecture, security, operations, and business stakeholders to drive cloud modernization, operational maturity, observability excellence, automation, and continuous improvement. This role combines hands-on technical expertise with people leadership, mentoring, strategic planning, and cross-functional collaboration. Responsibilities Lead and mentor a team of Site Reliability Engineers, fostering a culture of ownership, operational excellence, collaboration, and continuous learning. Define and drive SRE strategy, standards, best practices, and operational frameworks across engineering organizations. Partner with product and platform teams to improve application reliability, scalability, security, performance, and resilience. Establish and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets. Lead major incident management, root cause analysis, problem management, and post-incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability strategies utilizing metrics, logs, traces, alerting, and dashboards. Collaborate with security and compliance teams to ensure platform adherence to enterprise security and regulatory requirements. Lead architecture reviews and provide guidance on cloud-native and highly resilient application designs. Drive capacity planning, performance optimization, cost management, and operational efficiency initiatives. Establish engineering guardrails, governance controls, and deployment standards for production environments. Support organizational transformation toward DevOps and SRE practices. Manage operational risk and ensure business continuity and disaster recovery preparedness. Collaborate with stakeholders to prioritize reliability improvements and platform investments. Build and maintain strong relationships with product owners, engineering leaders, vendors, and business partners . Leadership Responsibilities Lead, coach, mentor, and develop a high-performing team of Site Reliability Engineers. Conduct resource planning and support hiring, onboarding, and career development activities. Establish team objectives aligned with business and technology strategies. Promote accountability, innovation, and operational excellence within the team. Act as a trusted advisor and subject matter expert for reliability engineering across the organization. Drive cross-team collaboration and alignment on strategic initiatives. Essential Skills and Attributes Strong leadership experience managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud-native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. Strong background in observability platforms such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, Datadog, or similar technologies. Experience managing large-scale production environments with stringent availability requirements. Strong understanding of security, compliance, networking, and cloud governance principles. Experience designing highly available, fault-tolerant, and resilient systems. Strong proficiency in at least one scripting or programming language such as Python, Go, PowerShell, Bash, or C#. Experience with CI/CD pipelines and software delivery automation. Exceptional troubleshooting and problem-solving capabilities. Excellent communication and stakeholder management skills. Strong documentation and presentation skills. Ability to influence technical direction across multiple engineering organizations. Desired Skills Experience building and managing enterprise-scale observability platforms. Knowledge of FinOps, cloud cost optimization, and operational efficiency practices. Experience with secret management platforms such as HashiCorp Vault, Akeyless or cloud-native alternatives. Familiarity with Chaos Engineering and resilience testing. Experience supporting regulated environments and compliance frameworks. Experience leading cloud transformation and modernization programs. Agile and Lean delivery experience. Experience supporting global, distributed engineering teams. Qualifications 8+ years of experience in Cloud Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering. 2+ years of leadership or people management experience leading engineering teams. Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Azure, AWS, Kubernetes, Terraform, or related certifications preferred. Proven track record leading reliability and operational excellence initiatives in large-scale enterprise environments. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $118,300 - $219,800. Base Pay Range for IL is $124,200 - $230,800. Base Pay Range for Chicago, IL is $130,200 - $241,800. Base Pay Range for MD is $124,200 - $230,800. Base Pay Range for NY is $130,200 - $241,800. Base Pay Range for New York City is $142,000 - $263,800. Base Pay Range for Rochester, NY is $118,300 - $219,800. Base Pay Range for OH is $112,400 - $208,800. Base Pay Range for NJ is $149,765- $239,235. This job is eligible for an annual incentive bonus. Application deadline is 12/24/2026. 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. USA Job Seekers: EEO Know Your Rights .

Ready to lead the reliability, scalability, and operational excellence of mission-critical platforms while shaping the future of Site Reliability Engineering? Would you like to mentor high-performing engineers, drive cloud modernization, and influence enterprise-wide engineering practices in a highly collaborative environment? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance About our Team The ICS (Insurance Core Services) team is responsible for establishing and driving reliability, observability, automation, and operational excellence standards across Insurance technology platforms. The team partners closely with application, infrastructure, database, and cloud engineering teams to improve platform availability, scalability, performance, and resilience. ICS leads strategic initiatives including SLO/SLI implementation, observability platform adoption, cloud modernization, operational readiness reviews, performance engineering, and reliability automation. The team also develops reusable engineering frameworks, standards, and best practices that enable product teams to build and operate highly reliable cloud-native services at scale. The SRE Lead will play a key role in shaping reliability strategy, mentoring engineers, driving cross-functional initiatives, and partnering with business and technology stakeholders to improve service reliability and operational maturity across the organization. About the Role As a Site Reliability Engineering Lead, you will provide technical leadership and strategic direction for Site Reliability Engineering initiatives across multiple product portfolios. You will lead a team of SREs responsible for ensuring the reliability, scalability, security, performance, and operational excellence of mission-critical applications and platforms. The SRE Lead will partner closely with engineering, architecture, security, operations, and business stakeholders to drive cloud modernization, operational maturity, observability excellence, automation, and continuous improvement. This role combines hands-on technical expertise with people leadership, mentoring, strategic planning, and cross-functional collaboration. Responsibilities Lead and mentor a team of Site Reliability Engineers, fostering a culture of ownership, operational excellence, collaboration, and continuous learning. Define and drive SRE strategy, standards, best practices, and operational frameworks across engineering organizations. Partner with product and platform teams to improve application reliability, scalability, security, performance, and resilience. Establish and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets. Lead major incident management, root cause analysis, problem management, and post-incident review processes. Drive cloud modernization initiatives and support application migrations to Azure, AWS, and containerized environments. Champion automation and Infrastructure as Code (IaC) practices using tools such as Terraform, GitHub, GitLab, Jenkins, and Ansible. Develop and implement observability strategies utilizing metrics, logs, traces, alerting, and dashboards. Collaborate with security and compliance teams to ensure platform adherence to enterprise security and regulatory requirements. Lead architecture reviews and provide guidance on cloud-native and highly resilient application designs. Drive capacity planning, performance optimization, cost management, and operational efficiency initiatives. Establish engineering guardrails, governance controls, and deployment standards for production environments. Support organizational transformation toward DevOps and SRE practices. Manage operational risk and ensure business continuity and disaster recovery preparedness. Collaborate with stakeholders to prioritize reliability improvements and platform investments. Build and maintain strong relationships with product owners, engineering leaders, vendors, and business partners . Leadership Responsibilities Lead, coach, mentor, and develop a high-performing team of Site Reliability Engineers. Conduct resource planning and support hiring, onboarding, and career development activities. Establish team objectives aligned with business and technology strategies. Promote accountability, innovation, and operational excellence within the team. Act as a trusted advisor and subject matter expert for reliability engineering across the organization. Drive cross-team collaboration and alignment on strategic initiatives. Essential Skills and Attributes Strong leadership experience managing technical engineering teams. Deep expertise in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud-native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. Strong background in observability platforms such as Grafana, Prometheus, OpenTelemetry, Splunk, Dynatrace, Datadog, or similar technologies. Experience managing large-scale production environments with stringent availability requirements. Strong understanding of security, compliance, networking, and cloud governance principles. Experience designing highly available, fault-tolerant, and resilient systems. Strong proficiency in at least one scripting or programming language such as Python, Go, PowerShell, Bash, or C#. Experience with CI/CD pipelines and software delivery automation. Exceptional troubleshooting and problem-solving capabilities. Excellent communication and stakeholder management skills. Strong documentation and presentation skills. Ability to influence technical direction across multiple engineering organizations. Desired Skills Experience building and managing enterprise-scale observability platforms. Knowledge of FinOps, cloud cost optimization, and operational efficiency practices. Experience with secret management platforms such as HashiCorp Vault, Akeyless or cloud-native alternatives. Familiarity with Chaos Engineering and resilience testing. Experience supporting regulated environments and compliance frameworks. Experience leading cloud transformation and modernization programs. Agile and Lean delivery experience. Experience supporting global, distributed engineering teams. Qualifications 8+ years of experience in Cloud Engineering, DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering. 2+ years of leadership or people management experience leading engineering teams. Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Azure, AWS, Kubernetes, Terraform, or related certifications preferred. Proven track record leading reliability and operational excellence initiatives in large-scale enterprise environments. U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $118,300 - $219,800. Base Pay Range for IL is $124,200 - $230,800. Base Pay Range for Chicago, IL is $130,200 - $241,800. Base Pay Range for MD is $124,200 - $230,800. Base Pay Range for NY is $130,200 - $241,800. Base Pay Range for New York City is $142,000 - $263,800. Base Pay Range for Rochester, NY is $118,300 - $219,800. Base Pay Range for OH is $112,400 - $208,800. Base Pay Range for NJ is $149,765- $239,235. This job is eligible for an annual incentive bonus. Application deadline is 12/24/2026. 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. USA Job Seekers: EEO Know Your Rights .

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 and commercial platforms such as: ERP systems Financial platforms CRM platforms Contract management systems Operational applications Internal APIs Third-party SaaS platforms Event-driven architectures Streaming data platforms Design reliable and scalable ingestion frameworks supporting both batch and real-time processing. Data Engineering Drive engineering excellence across: Modern ETL / ELT Data pipelines Lakehouse architectures Data quality Metadata management Data governance Data observability Data lineage 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. Develop scalable semantic models supporting: Financial reporting Operational reporting Executive dashboards KPI scorecards Regulatory reporting Forecasting Planning Variance analysis Ensure reporting is trusted, performant and capable of supporting AI-powered natural language querying. Data Modelling Design enterprise-grade data models including: Kimball dimensional modelling Star schemas Snowflake schemas Data Vault concepts Semantic modelling Slowly Changing Dimensions Master Data Management Reference data Metrics modelling Partner with business stakeholders to ensure consistent enterprise definitions. Platform & Technology Drive adoption of modern cloud technologies including: Databricks Delta Lake Unity Catalog Azure Data Factory Azure Data Lake Storage Power BI Azure AI Azure OpenAI Python SQL Spark PySpark REST APIs Git Azure DevOps Terraform Docker Kubernetes Operational Excellence Develop monitoring and AI-powered observability across enterprise data products. Improve: Platform reliability Data quality Incident response Engineering productivity Operational intelligence 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. 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. Preferred Experience with one or more of: Databricks Azure Data Platform Microsoft Fabric Azure OpenAI Generative AI AI Agents MCP LangGraph LangChain Semantic Kernel Vector databases Knowledge Graphs RAG architectures Financial ERP systems SAP Oracle Financials Workday Financials Snowflake dbt Event Hub Kafka Leadership Competencies Successful candidates will demonstrate: Strategic thinking Technical leadership Innovation Customer obsession Bias for action Continuous improvement Coaching and mentoring Strong business acumen Data-driven decision making Cross-functional collaboration What You’ll Deliver AI-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 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. 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. USA Job Seekers: EEO Know Your Rights .

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data, and helping teams deliver innovative solutions in a collaborative environment? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle – all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance About our Team We are looking for a Sr. Data Scientist I with strong expertise in statistics/modeling and machine learning to join our diverse team of data scientists on the Auto Insurance Rating Analytics team. This individual will play a key role in new product innovation, model development, generating actionable insights, and working closely with the Vertical and Product teams to design and implement new solutions that are cutting edge and support the insurance market. About the Role A Senior Data Scientist I should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. A Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices. Responsibilities : Developing, analyzing, and modeling operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies Analyzing organizational data to recommend solutions to new and complex problems, developing innovative strategies, quantifying the competitive performance of the organization's operations and/or markets; modeling and evaluating the potential impact of changes Applying and integrating statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources Functional Knowledge: Conceptual and practical expertise in own area required Business Expertise: Has knowledge of best practices and how subject matter expertise integrates with others; is aware of the competition and the factors that differentiate the company in the market Leadership: Occasionally leads the work of small project teams; provides informal guidance to junior staff Problem Solving: Typically resolves problems using existing solutions Impact: Works with minimal guidance Interpersonal Skills: Explains difficult or sensitive information, models auto insurance risk, particularly in the context of credit-based data sources, generally using GLM techniques Supports existing models Python experience required Cloud experience preferred Develops, analyzes and models operational, economic, management, accounting and other organizational data to quantify the competitive performance of business segments, evaluate potential operational changes, and design new approaches and methodologies Analyzes organizational data to recommend solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets; models and evaluates the potential impact of changes Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high-volume data from a variety of sources Requirements : Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or other quantitative discipline (or equivalent years of experience); Master’s/Ph.D. degree preferred. Actuarial experience/certification also preferred. 3+ years demonstrated experience in data manipulation and various AI/ML methodologies, preferably in applications using credit data for insurance or financial services Strong expertise in one or more of the following: R, Python, SQL, or equivalent analytic software Experience manipulating and merging multiple large data sets in a distributed computing environment Solid understanding of ML techniques, including hypothesis testing, sample design, model development (linear and non-linear models), validation of machine learning models Strong programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages (pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams Risk benefit statement 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: $95,300 - $158,800. 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. USA Job Seekers: EEO Know Your Rights .

Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform? Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com. About the Team You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one. About the Role This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads. You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform. Responsibilities Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines. Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients. Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes. Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment. Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution. Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling. Qualifications BS in Computer Science/Engineering or equivalent experience. 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team. Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines. Exposure to AI-assisted development workflows. Technical Skills Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices. Proficiency in JavaScript/TypeScript and React for modern, component-based front ends. Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery. Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks. Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies. Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes. Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development. AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring. U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. 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. USA Job Seekers: EEO Know Your Rights .