RCM Implementation Lead

Client

Summary:

• 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

• 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

• 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

• 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

• Hands-on RCM domain experience (front/mid/back preferred; strong back-end acceptable) with deep literacy in how the dollars flow
• Must-have: practical experience building/using reporting & analytics for RCM workflows (claims, remits/denials, payer nuances, operational KPIs)
• 3–7 years total RCM/RCM-analytics experience
• Epic background strongly preferred: 3–5 years with Epic Resolute/RCM (or comparable RCM tech background)
• Ability to lead client-facing workshops, translate requirements, and drive decision/adoption
• Strong SQL/BI literacy (e.g., Tableau/Power BI/Looker) and comfort validating data with analysts and engineers
• Excellent communication, facilitation, and change-management skills
• Curiosity about AI and enthusiasm for learning how to leverage AI tools in healthcare analytics (no prior AI experience required—we'll train you!)

Compensation $130k-$165k, Health Insurance, 401k