Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead actuarial strategy and a team to deliver pricing, forecasting, rate filings, financial projections, and regulatory engagement. Develop statistical models, oversee month-end close activities, ensure actuarial compliance, mentor staff, support business development, and provide actuarial insight across the organization to inform financial and policy decisions.

Lead and manage actuarial functions including pricing, forecasting, reserves, and performance monitoring. Drive model/report/process improvements, represent actuarial expertise to regulators and executives, and align actuarial inputs with finance for monthly financial reporting and strategic decision-making.

Lead and manage actuarial functions including pricing, forecasting, reserves, and performance monitoring. Drive model/report/process improvements, support financial reporting and executive decision-making, represent actuarial expertise to regulators and stakeholders, and develop actuarial team capabilities.

Lead the actuarial function to drive pricing, forecasting, rate filings, and financial analysis. Develop statistical models, ensure regulatory compliance, mentor staff, support senior management and business development, and implement AI-enabled solutions to improve efficiency and insights.

Lead actuarial strategy and teams to deliver pricing, forecasting, rate filings, financial projections, and performance monitoring. Develop statistical and contract models, ensure regulatory compliance, mentor actuaries, support business development, and drive AI-enabled actuarial solutions to improve efficiency and decision support.

Design, validate, and operationalize predictive and machine learning models; mine and analyze large datasets; create visualizations and statistical validation; collaborate with teams to integrate solutions and communicate results to stakeholders.

Lead enterprise data platform strategy, architecture, engineering, integration, quality, and operations. Drive cloud modernization, scalable ETL/ELT, data governance, observability, MDM, interoperability, and platform reliability to support analytics, AI, regulatory compliance, and business outcomes. Build and manage senior data engineering and operations teams, vendor relationships, and budgets.

Senior technology leader owning enterprise BI, analytics, data science, and AI strategy. Leads BI, Data Science, and ML Engineering teams; drives model development, MLOps, governance, regulatory compliance (HIPAA/CMS), generative AI adoption, vendor decisions, and executive reporting to improve clinical, financial, and operational outcomes.

Perform actuarial analyses and profitability reporting to support management decisions; calculate monthly IBNR reserves; evaluate reimbursement processes; run regular and ad-hoc data studies to improve efficiency, MLR, and operating results; participate in cross-functional initiatives and present findings to stakeholders.

Lead actuarial pricing, forecasting, reserving and modeling efforts. Develop assumptions, maintain actuarial models, evaluate financial experience, support rate filings and IBNR estimates, provide strategic recommendations, manage staff and vendor relationships, and report findings to leadership.