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The Data Scientist will develop AI/ML models to enhance healthcare processes, ensuring compliance and quality in clinical documentation.

The Resolution Specialist resolves healthcare insurance claims, manages member issues, and collaborates with departments to improve service delivery and member satisfaction.

Design, build, and maintain high-volume data pipelines and integrations between Oracle Cloud Financials and the enterprise data ecosystem (Azure Data Lake, Snowflake). Ensure secure, compliant financial data flows, support reporting infrastructure, act as Tier 3/4 escalation for incidents, and lead integration workstreams through implementation and continuous improvement using scripting, DevOps, and automation.

Lead administration and optimization of Oracle EPM/Hyperion Planning and Essbase to support FP&A. Build and maintain data pipelines between Oracle Fusion GL and EPM, create business rules, calc scripts, dashboards, and executive reports. Support predictive planning, ensure SOX/HIPAA governance and cell-level security, provide Tier 3/4 escalation and on-call support during budget and CMS bid cycles, and mentor junior analysts.

Serve as the technical SME for Oracle GL and Financial Close: maintain GL configuration, troubleshoot close and integration issues, automate close workflows, build reconciliation queries and reports, enforce SOX/CMS compliance, and act as tier 3/4 escalation during month-end, quarter-end, and year-end close cycles.

Serve as executive IT owner for Oracle Cloud Financials implementation and ongoing operations. Lead end-to-end ERP delivery, integrations (Workday, Azure), SOX/HIPAA compliance, vendor/SI management, data governance, ITIL-aligned support, roadmap and team leadership to support Medicare Advantage finance operations and reporting.

Lead FP&A activities including budgeting, forecasting, cash flow and variance analysis; build and maintain financial models; support financing and M&A; prepare investor and board presentations; analyze results, identify trends, recommend actions, and communicate findings to senior management.

Lead enterprise AI and automation strategy and a multi-disciplinary engineering team to design, deliver, and scale AI/ML and RPA solutions across clinical, claims, and member operations. Own platform/tool selection, engineering best practices (MLOps, CI/CD), vendor and budget management, regulatory compliance (HIPAA/CMS), and measure business impact while embedding responsible AI governance.

Lead design, delivery, and scaling of production AI/ML and enterprise automation systems (LLMs, RAG, RPA) for Medicare Advantage workloads. Own data infrastructure, MLOps, integration, monitoring, compliance (HIPAA), and reliability. Mentor engineers, set engineering standards, and drive responsible AI and automation governance across the organization.

The Customer Success Lead manages escalations, provides operational support, trains team members, and ensures member satisfaction while upholding compliance and performance standards.