iRhythm - Revenue Cycle Management (RCM) Insights & Analytics Architect

Employment Type: Full-time

Position Overview

iRhythm is a leading digital healthcare company dedicated to improving cardiac health through innovative wearable biosensing technology and powerful cloud-based data analytics. We are seeking a strategic and experienced Revenue Cycle Management (RCM) Insights & Analytics Architect to join our team. This role is crucial for providing data visibility into the operational and strategic performance of our end-to-end revenue cycle, from order to cash.

The RCM Insights & Analytics Architect will transform data into actionable insights, driving strategic decisions across the revenue cycle. This position involves advanced data analysis, predictive modeling, and the development of dynamic dashboards and reporting tools. The ideal candidate will proactively identify performance trends, uncover root causes of inefficiencies, and collaborate with leadership to optimize revenue cycle operations. This role serves as a bridge between data science and healthcare operations, ensuring data-driven decision-making across all RCM functions.

About iRhythm

iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what’s possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We are looking for builders, curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career.

Our work environment is fast-paced and collaborative, driven by a passion for delivering innovations that improve the quality of health care and patient experience.

Responsibilities

Data Integration, Architecture & Reporting Alignment

• Navigate and interpret complex data architectures within cloud-based data warehouses (e.g., Snowflake), understanding how diverse data sources (claims, EHR, CRM, payer systems) are ingested, modeled, and linked.
• Collaborate with cross-functional stakeholders (operations, finance, accounting, market access, commercial teams) to gather and refine reporting requirements, ensuring alignment between business needs and data infrastructure.
• Partner with data engineering teams to design and optimize data pipelines that support scalable analytics, ensuring data is structured for efficient querying and reporting.
• Ensure data integrity, normalization, and consistency across multiple domains by validating source-to-target mappings and maintaining robust data lineage documentation.
• Apply knowledge of dimensional modeling, star/snowflake schemas, and data governance best practices to support high-quality, reliable insights.

Data Strategy & Advanced Analytics

• Lead the design and execution of scalable analytical solutions that optimize RCM operations and financial outcomes.
• Translate complex RCM datasets into meaningful insights through statistical modeling, machine learning, and advanced data mining techniques.
• Conduct deep-dive analyses to uncover performance gaps, emerging trends, and opportunities for process improvement.

Requirements

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Application Instructions

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