Senior Coding SME Operator
Listed on 2026-02-28
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IT/Tech
Data Scientist, AI Engineer, Machine Learning/ ML Engineer, Data Analyst
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 keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E
Purpose:
- Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their 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 “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.
The Senior Coding SME Operator is a senior-level individual contributor responsible for identifying systemic coding variance and rework drivers, defining automation-ready coding logic and edge cases, and validating AI-assisted coding outputs for accuracy and compliance.
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 & ResponsibilitiesCore 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 coding variance, rework drivers, and systemic gaps.
- Define coding logic and edge cases for AI-assisted and autonomous models.
- Evaluate outputs of ML and agentic coding models for accuracy and compliance.
- Design feedback loops connecting documentation, coding, and payer outcomes.
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 Austin on-site location as required.
Senior-Level Individual Contributor Expectations:
- Demonstrated ability to lead problem-solving and redesign efforts independently (without formal authority).
- 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.
- Innovative thinking and solutioning mindset
- Creative problem solving and systems thinking
- Comfort challenging existing processes to identify better, more…
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