Basic Functions: This position provides technical leadership for building neural network models and governance oversight for machine learning and linking solutions across the enterprise. The engineer develops neural network model governance frameworks, builds explainability capabilities, leads model reviews and validations, collaborates with engineering and data science teams, and ensures compliance with enterprise AI policies and industry standards. The position serves as a senior subject matter expert on linking models, explainability, monitoring, performance assessment, and governance. Accountabilities Design, implement, and maintain neural network models and enterprise-wide model governance frameworks, standards, and controls for machine learning and linking solutions. Lead model validation and review activities, including performance assessment, precision analysis, explainability evaluation, bias testing, and risk identification. Establish and monitor model lifecycle processes covering development, testing, deployment, monitoring, retraining, and retirement. Develop governance metrics, dashboards, and reporting to provide visibility into model performance, drift, risk exposure, and business impact. Partner with data scientists, software engineers, architects, and business stakeholders to ensure governance requirements are embedded throughout the model development lifecycle. Create and maintain model documentation, validation reports, audit artifacts, governance approvals, and regulatory evidence. Evaluate model performance using statistical analysis, precision and recall measurements, confidence scoring, explainability techniques, and business outcome monitoring. Lead investigations into model degradation, unexpected behavior, accuracy declines, and governance exceptions, recommending mitigation strategies and corrective actions. Establish controls and monitoring processes to identify data drift, concept drift, and operational risks affecting model quality. Communicate governance findings, model risks, validation outcomes, and recommendations to technical teams, executive leadership, auditors, and business stakeholders. Drive continuous improvement of model governance processes, tools, standards, and best practices across the organization. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, Engineering, or a related technical discipline. 10+ years of experience in machine learning, data science, analytics, model development, model validation, or AI governance. Strong understanding of neural network models, machine learning algorithms, statistical modeling techniques, predictive analytics, and AI systems. Experience establishing or operating model governance, model risk management, AI governance, or Responsible AI programs. Strong knowledge of model validation methodologies, performance measurement, drift detection, bias assessment, and explainability techniques. Experience with cloud-based platforms including Azure, Databricks, Spark, Cosmos DB, and large-scale data processing technologies. Hands-on experience with Java, Python, SQL, machine learning frameworks, and data analysis tools. Experience developing dashboards and automated monitoring solutions for model performance and governance metrics. Strong analytical and problem-solving skills with the ability to evaluate complex technical and business risks. Strong communication and presentation skills, with the ability to explain complex model behavior and governance findings to both technical and non-technical audiences. Ability to influence technical direction, governance strategy, and enterprise decision-making across multiple organizations. 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. At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers in more than 190 countries and territories. LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.

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