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Analyze healthcare claims, provider, financial, and operational data to identify trends, anomalies, and inefficiencies. Build automated reports, dashboards, and forecasts using SQL, Python, and BI tools to support audit, finance, and operations, ensuring data quality, SLA monitoring, and actionable recommendations.

Lead and grow a platform engineering team focused on developer experience, DevOps, SRE, and quality. Own internal developer platform strategy and roadmap, improve CI/CD, IaC, containers, observability, incident response, release guardrails, environment stability, and test automation. Provide technical leadership, drive engineering efficiency, and hire/retain top talent.

Lead analytics for payment integrity by analyzing large healthcare claims and operational datasets, building automated reports, dashboards, and forecasts, monitoring SLAs and financial reconciliations, detecting process inefficiencies, performing root-cause analysis, and partnering with engineering, audit, finance, operations, and leadership to drive operational improvements and reporting accuracy while maintaining data governance and HIPAA compliance.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

The Lead Machine Learning Engineer will design, deploy and monitor advanced ML algorithms, ensuring robust production systems while guiding junior engineers and collaborating with stakeholders.

Provide hands-on FP&A support for Clinical Operations and Commercial: build and maintain capacity and headcount models, update monthly gross margin workbooks with variance commentary, support budgeting and forecasting, analyze cost impacts of operational changes, use Adaptive Insights and AI analytics to automate and improve reporting, and partner closely with operations and commercial leaders while being responsive during East Coast hours.

Lead product design for complex areas, focusing on end-to-end processes, design systems, and collaboration with cross-functional teams.

Lead a team of machine learning engineers and data scientists to develop and deploy AI solutions in healthcare, optimizing workflows and model performance.

Lead Engineer responsible for end-to-end feature design, development, testing, and delivery of a cloud-based healthcare platform. Work full stack from database to frontend, design scalable data services and APIs, mentor junior engineers, ensure testing and security best practices, and deploy to modern cloud infrastructure.

Provide commercial contracting support by drafting, reviewing, and negotiating high-volume customer and vendor agreements (SaaS, MSAs, SOWs, NDAs, BAAs). Advise Sales and cross-functional teams, manage routine to moderately complex negotiations, maintain templates and playbooks, and support data privacy and AI-related contractual issues.