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Senior AR Follow-Up SME Operator

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Ensemble Health Partners
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

Overview

Thank you for considering a career at Ensemble Health Partners!

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble is focused on keeping communities healthy by supporting hospitals and healthcare teams with a human-centric approach.

O.N.E

Purpose:

  • Customer Obsession: Consistently provide exceptional experiences for clients, patients, and colleagues by understanding their needs and exceeding expectations.
  • Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
  • Striving for Excellence: Execute at a high level by demonstrating our principles and delivering outstanding results.
The Opportunity

The Senior AR Follow-Up SME Operator is a senior-level individual contributor responsible for identifying structural AR drivers and payer behavior patterns, designing prioritization models, and validating agentic AR follow-up approaches.

Role Overview

Operators serve as subject matter experts in specific revenue cycle domains while maintaining literacy across the end-to-end revenue cycle. They redesign workflows, identify upstream root causes, build knowledge graphs, participate in design sessions, and validate emerging automation and AI-driven models.

Essential Duties & Responsibilities

Core Responsibilities:

  • Act as the domain SME while maintaining literacy across the full revenue cycle.
  • Identify structural root causes that drive downstream rework, friction, and leakage.
  • Design future-state workflows and operating models with measurable impact.
  • Build and maintain domain-specific knowledge graphs capturing inputs, rules, actions, and outcomes.
  • Participate in design sessions and rapid innovation sprints with product, engineering, and analytics teams.
  • Test and validate automation, ML, AI, and agentic models using real operational scenarios.
  • Translate SME judgment into rules, decision trees, training data, and guardrails.
  • Support pilots and controlled rollouts with clear success criteria and measurement.
  • Document operational logic and findings for reuse and scale.

Role-Specific Responsibilities:

  • Identify structural AR drivers and payer behavior patterns.
  • Design prioritization models that optimize for yield and resolution speed.
  • Build knowledge graphs mapping payer actions, responses, and optimal operator strategies.
  • Test and validate agentic AR follow-up models.
Qualifications

Required Qualifications:

  • 5+ years of hands-on experience in the revenue cycle domain aligned to this role.
  • Strong end-to-end revenue cycle literacy.
  • Exceptional process mapping and process improvement capability.
  • Data-driven problem solving and comfort with variance analysis.
  • Ability to operate effectively in ambiguity; self-motivated and proactive.
  • Strong communication skills for both technical and non-technical audiences.
  • Curiosity and aptitude for automation, ML/AI, and agentic technologies.
  • This is a hybrid role based in Austin, Texas. Candidates must be able to commute to the on-site location as required.

Senior-Level Individual Contributor Expectations:

  • Demonstrated ability to lead problem-solving and redesign efforts independently.
  • Proven ability to challenge existing processes constructively and propose more efficient methods.
  • Comfort partnering closely with engineering/product teams to define, test, and iterate solutions.
  • Ability to translate complex operational judgment into structured logic suitable for automation or AI.
Core Competencies
  • Innovative thinking and solutioning mindset
  • Creative problem solving and systems thinking
  • Comfort challenging existing processes to identify better, more efficient methods
  • Interest in and practical familiarity with AI-enabled workflows and automation
  • Strong stakeholder communication and collaboration
Work Style & Environment

This role operates in a rapid-iteration environment and requires comfort with ambiguity, experimentation, and cross-functional collaboration. The Senior Operator is…

Position Requirements
10+ Years work experience
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