Innovative healthcare data and analytics platform company
Focuses on providing out-of-the-box solutions for healthcare organizations
Aims to accelerate data analytics processes
Enhances reliability and affordability of data analytics in healthcare
Establishes modern and robust analytics foundations
Position Responsibilities:
Implementation Leadership with AI Enablement
Own end-to-end implementation for new RCM analytics customers: discovery, requirements, mapping, build, AI toolkit configuration, testing, training, and go-live
Run structured requirements sessions with RCM leaders; translate operational goals into datasets, measures, dashboards, and intelligent AI workflows
Configure AI capabilities for client-specific use cases-customizing natural language models, tuning predictive algorithms, and setting up automated analysis pipelines
Build/report operational KPIs and AI-augmented workflows for claims, remits/denials, and payer nuances; ensure they reflect day-to-day operations while leveraging intelligent automation
Lead UAT including validation of AI outputs and predictions, triage issues, maintain an issue backlog, and drive resolution across Engineering, Data Science, and Product
Create client-facing documentation: data dictionaries, KPI definitions, AI feature guides, prompt libraries, SOPs, and training materials that empower users to maximize platform capabilities
Analytics & Finance / Dollars Flow
Connect revenue cycle analytics to finance: track dollars from charge to cash, including contractuals, denials, take-backs, refunds, and payment variance
Partner with client finance/RCM analysts to reconcile values across remits (835), claim status, and GL/cash systems
Define and monitor implementation success metrics (adoption, time-to-value, data quality SLAs, AI accuracy metrics, user engagement with intelligent features)
Measure and report on AI ROI-quantifying time saved through automation, improvement in denial rates, and acceleration of insights
Product Liaison & AI Innovation Partner
Pressure-test product usability, AI feature effectiveness, and workflows; bring pragmatic, field-tested feedback and prioritize improvements
Author user stories for analytics/product features and AI capabilities, participate in sprint reviews as the voice of RCM operations and the champion of user experience
Collaborate with Data Science and Engineering teams to refine predictive models based on client feedback and real-world performance
Support rollouts with configuration, role-based views, AI prompt templates, and guided walkthroughs for end users
Identify new AI use cases from client interactions-you'll help define what AI superpowers we build next
Experience & Skills: Required Experience and Qualifications:
Hands-on RCM domain experience (front/mid/back preferred; strong back-end acceptable) with deep literacy in how the dollars flow