E

Ensemble Health Partners

End-to-end revenue cycle management for hospitals

Orchestration Works - Operations Roles

Business OperationsConfirmed live in the last 24 hours
Full-timeAustin, TX, USAHybrid

About the Job

Requirements

  • At least 5 years of hands-on experience in Revenue Cycle Management.
  • Strong end-to-end revenue cycle knowledge.
  • Proven process mapping and improvement skills.
  • A data-driven problem-solving mindset.
  • Comfort operating in ambiguity and fast-changing environments.
  • Strong written and verbal communication skills.
  • Curiosity and aptitude for automation, artificial intelligence, machine learning, and emerging technologies.
  • Ability to manage multiple priorities while maintaining quality.
  • Inquisitiveness and openness to innovation, including artificial intelligence, to explore better processes and reduce friction while improving patient and client experiences.

Responsibilities

  • Serve as a domain subject matter expert while maintaining strong end-to-end revenue cycle literacy.
  • Identify upstream root causes that drive downstream rework, friction, and revenue leakage.
  • Design future-state workflows and operating models with measurable impact.
  • Build and maintain domain-specific knowledge graphs covering inputs, rules, actions, and outcomes.
  • Participate in design sessions and rapid innovation sprints.
  • Test and validate automation, machine learning, artificial intelligence, and agentic models using real operational scenarios.
  • Translate expert judgment into rules, decision trees, training data, and guardrails.
  • Support pilots and controlled rollouts with clear success criteria.
  • Document operational logic and findings for reuse and scale.
  • For Scheduling SME Operators: diagnose root causes of access delays, no-shows, and scheduling errors; model decision logic for appointment types, slot optimization, and prioritization; and design future-state scheduling workflows incorporating clinical and capacity constraints.
  • For Financial Clearance SME Operators: identify causes of eligibility errors, authorization failures, and preventable denials; build payer-specific decision trees and clearance pathways; and test predictive and agentic clearance models.
  • For Clinical Documentation SME Operators: identify documentation gaps impacting coding and denials; design upstream documentation workflows; and partner with clinicians to test artificial-intelligence-assisted documentation tools.
  • For Coding SME Operators: identify coding variance and rework drivers; define logic and edge cases for artificial-intelligence-assisted and autonomous coding; and validate model outputs for accuracy and compliance.
  • For Billing SME Operators: analyze systemic causes of claim edits and rejections; design workflows to increase clean claim rates; and translate billing logic into automation-ready rule sets.
  • For AR Follow-Up SME Operators: identify structural accounts receivable drivers and payer behavior patterns; design prioritization models optimizing yield and resolution speed; and test agentic accounts receivable follow-up models.
  • For Transaction Posting SME Operators: identify posting and reconciliation errors; design automated posting logic with robust exception handling; and detect underpayments through expected-versus-actual payment models.
  • For Denials SME Operators: separate true root causes of denials from payer behavior; design actionable denial taxonomies and prevention models; and test artificial-intelligence-assisted appeal generation.
  • For Underpayments SME Operators: identify systemic underpayment drivers; design detection and recovery models; and partner with contracting and legal teams as needed.
  • For Product Managers: own product roadmaps and prioritize initiatives; translate business needs into working prototypes; partner closely with design, engineering, and users; and drive execution from concept through rollout.
  • For Technical Program Managers: lead complex technical programs end-to-end; align architecture and delivery with business goals; drive cross-functional accountability and risk management; and continuously improve execution through innovation and best practices.

Desired Qualifications

  • The posting identifies inquisitiveness and openness to innovation, including artificial intelligence, to explore better processes and improve patient and client experiences as experience it values.

About the Company

Ensemble Health Partners

End-to-end revenue cycle management for hospitals

Ensemble Health Partners provides end-to-end revenue cycle management for hospitals and health systems. It handles the entire process from patient intake to final payment, with teams and technology embedded into the provider's operations and a revenue model tied to performance improvements. The company uses its proprietary EIQ platform (analytics, AI, and workflow automation) to optimize revenue cycle processes, reduce insurance denials, and speed cash collection, managing more than $39 billion in net patient revenue. Its approach differentiates it by being a true managed-services partner with full accountability for financial outcomes and a track record of meeting initial client goals. The overarching goal is to improve healthcare providers’ financial performance so they can focus on patient care.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Cincinnati, OH
Founded
2014

Recently Posted Jobs

Explore more opportunities at Ensemble Health Partners

See more jobs