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The Solution Architect designs end-to-end solutions for underwriting, driving innovation with emerging technologies, and ensuring compliance and security while collaborating across teams.

The Investment Data Analyst will centralize and enhance data automation, manage reporting functions, support data requests, and ensure data quality. Responsibilities include data manipulation for AI integration and overseeing the Investment Research Library.

Actuarial analyst responsible for reserving Supplemental Accident & Health products and supporting Employee Benefits (LTD, Life) reserving projects. Own reserve models/processes, book reserves, produce metrics, present results to the EB Chief Actuary, support audits and LTD settlement claims, and lead one major reserve project annually while improving data and processes.

Support Workers' Compensation pricing and loss ratio planning for small and middle/large business segments. Own LRP components, monitor loss trends and performance, produce ad-hoc analyses, support leadership reviews, and improve actuarial tools and processes while partnering across actuarial, reserving, product, data science, and IT teams.

Support workers' compensation rate execution by producing state-level rate change recommendations, developing filing strategy, managing state filings, and streamlining processes. Partner with Product and IT to communicate rate drivers, support product enhancements, update indication assumptions, project quarterly dividends, complete ad hoc projects, and share knowledge across the WC pricing team.

Support Workers' Compensation actuarial rate execution by producing state-level rate recommendations, managing filing strategy and process, partnering with Product and IT, updating assumption sources, projecting quarterly dividends, and completing ad-hoc projects to improve filing efficiency and pricing competitiveness.

Drive personal insurance sales by managing territory and agency relationships, executing consultative sales processes, building territory and agency plans, using data analytics to track performance, and meeting production, retention, and profitability targets. Travel across AZ/NV territory, engage agencies in-person and virtually, provide agent training and support, and prioritize mature market strategies to grow market share.

Conduct risk assessments, collaborate with teams to develop risk strategies, leverage data analytics, and serve as a trusted advisor in risk management.

Lead Applied AI strategy and execution across Employee Benefits and Operations, overseeing ML, generative and agentic AI, RAG, and predictive analytics lifecycles. Drive governance, model risk management, evaluation, deployment, cross-LOB prioritization, talent architecture, and regulatory readiness to improve enrollment, billing, service, and operational efficiency.

Lead design and implementation of AI-ready data platforms and scalable batch/streaming pipelines to support Generative AI and RAG solutions. Own architecture, reliability, governance, observability, and operationalization of production GenAI data systems across cloud environments. Mentor engineers and collaborate cross-functionally to integrate AI data products into enterprise workflows.