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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 technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Manage monthly payroll processing, validate employee inputs, ensure statutory compliance, resolve payroll and tax queries, support audits and inspections, maintain reports and documentation, and contribute to payroll automation and HCM integrations. Collaborate with HR, Finance, and IT while providing backup support to the Payroll Head.

Lead client-facing engagements to design, implement, and optimize prior-authorization decision automation for PaaS customers. Translate client needs into technical blueprints, collaborate with product and engineering, build dashboards and analyze authorization data, track KPIs, and drive continuous improvement and scale across the customer lifecycle.

Lead and mentor a client-facing analyst team to design, implement, and scale prior-authorization decision automation for PaaS clients. Consult on strategic roadmaps, translate client requirements into technical blueprints, collaborate with product and engineering, optimize processes and analytics frameworks, build visualization reports from authorization and claims data, and ensure client KPIs and end-to-end automation success across the customer lifecycle.

Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.

The role involves managing a team of data analysts to ensure the quality and usability of healthcare market datasets, implementing analytical standards, and translating complex data outputs into actionable business insights.

Develop and validate ML and AI-driven healthcare solutions: analyze large datasets, build data models and pipelines, prototype and optimize models, evaluate performance, and communicate actionable insights to cross-functional teams.

Lead design and implementation of scalable ETL/ELT pipelines, ensure data quality and governance, build dashboards and automated reporting, mentor engineers, troubleshoot production incidents, and improve platform reliability, performance, and observability to support analytics and business KPIs.

Design, build, test, and deliver full-stack cloud web applications for a clinical intelligence platform. Drive technical roadmap, support SDLC end-to-end, collaborate cross-functionally, and perform occasional production support and releases.