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Analyzes operational and financial performance across Recovery Operations, Operational Excellence, and Finance. Builds Power BI dashboards, defines KPIs, investigates trends and root causes, evaluates process improvements, develops forecasts and scenario analyses, and delivers actionable insights to business leaders. The role also improves data quality and reporting consistency while measuring the impact of workflow, process, and automation changes.

Leads continuous improvement and operational excellence initiatives across processes, workflows, systems, and teams. Translates strategy into future-state designs, requirements, automation, and scalable solutions; manages implementation, UAT, training, adoption, and refinement. Partners cross-functionally with Technology, Product, Finance, Legal, and Operations while coaching team members and removing obstacles. Personally addresses complex operational challenges and drives measurable improvements from assessment through execution.

Leads full-cycle recruitment from intake through offer and onboarding handoff. Partners with hiring managers to define talent needs, create sourcing strategies, screen candidates, coordinate interviews, support offers, and deliver a strong candidate experience. Builds talent pipelines through universities, community organizations, professional networks, events, and employment branding. Maintains recruiting data in ATS and HRIS systems, reports talent acquisition metrics, improves processes, and ensures compliance with employment laws.

Leads budgeting, forecasting, long-range planning, financial modeling, variance analysis, reporting, and KPI tracking. Partners with business leaders across operations, sales, marketing, and HR to support strategic decisions, pricing, investments, and capital planning. Develops executive and board reporting, identifies risks and opportunities, recommends process improvements, and provides actionable financial insights to leadership.

The Legal Assistant manages day-to-day tasks for insurance recovery cases, ensuring organized documentation and communication with various stakeholders.

Design, build, and optimize scalable data ingestion and transformation pipelines in a medallion (Bronze/Silver/Gold) architecture on Microsoft Fabric/OneLake. Ensure HIPAA-compliant, multi-tenant data isolation, data quality monitoring, lineage and governance. Partner with Data Science, ML Engineering, and Software Engineering to deliver feature stores, ML-ready datasets, and production-grade data delivery for analytics and scoring.