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This role involves developing complex actuarial models, conducting analyses and presenting findings for pricing, underwriting and forecasting.

Lead and manage internal audit projects, supervise and develop audit staff, evaluate internal controls for business processes and systems, advise management on control standards, perform audit planning, testing, documentation, and reporting, and support compliance, risk management, and third-party oversight.

The role involves aligning designs with the application architecture roadmap, supporting delivery teams with functional and technical designs, and acting as a SME for integration with the Intelligent Delivery Platform.

Lead and manage an actuarial team, set strategy for modeling, tools and resources, ensure compliance with actuarial standards, guide long-term projects, develop senior-level presentations and business cases, oversee budgets and resource allocation, and mentor managers while driving continuous improvement.

The Contract Specialist drafts and negotiates health insurance contracts while collaborating with stakeholders, managing projects, and ensuring compliance with regulations.

Lead financial analysis, forecasting, reporting, and decision-support for IT and Customer Service. Develop dashboards, financial models, scenario planning, ROI evaluations, and TCO analyses. Support vendor governance, procurement/RFPs, monthly close and ad hoc reporting, ensure data integrity and HIPAA compliance, present insights to leadership, and manage finance-related projects and team oversight.

Sell and renew group health insurance products to existing customers, negotiate renewals, support customer needs, manage complex accounts, analyze financial reports, mentor others, and travel as needed. Requires managed care product expertise and strong communication, negotiation, and relationship-building skills.

Lead multiple data engineering teams to ensure data quality, build and optimize data pipelines, ingest and curate diverse data sources, transform data for ML/analytics, productionize data science products, collaborate with IT for deployments, manage budgets/resources, and build business cases with ROI analyses.

Lead teams that develop and write enterprise proposals, manage proposal content and network information requests, and support national accounts meetings, events, and open enrollment efforts. Partner with Sales and Account Management, oversee budgets, drive process improvements, and translate initiatives into business cases while ensuring timely, high-quality deliverables.

Own one or more data science products end-to-end: gather customer requirements, write technical specs, prioritize features, coordinate stakeholders, drive delivery and adoption. Support data science and engineering tasks as needed and promote product usage across the organization while ensuring successful implementation and value realization.