Job description
EnableComp earned its reputation in the toughest corners of the revenue cycle by solving the complex claims no one else could. We developed Complex Revenue Intelligence™ (CRI), a smarter approach to predict and prevent revenue loss. Powered by the e360 RCM® AI-driven platform and the most expansive complex revenue cycle data set, today EnableComp helps more than 1,000 hospitals nationwide recover $3 billion annually from complex claims, denials, and revenue recovery. By cutting through complexity, we help hospitals thrive, resulting in recognition as Black Book’s #1 Specialty RCM provider for complex claims and revenue integrity in 2024 and 2025, a multi-year Top Workplaces honoree, and a SOC 2 Type II and HITRUST e1-certified platform.
Our Vision is to empower healthcare providers to focus on patient care, not revenue cycle complexity. Our Mission is to uncover what others miss—turning every client dollar recovered into insight that helps prevent future loss. We live our Core Values of Uncompromising Integrity, Ecstatic Clients, and Empowered Team Members by operating with trust, accountability, and a “we before me” mindset. We pursue Innovation and Profitable Growth through continuous improvement and thoughtful problem-solving, and we believe work should include Fun—celebrating success, recognizing our people, and maintaining healthy work-life balance.
POSITION SUMMARY
The Principal Engineer, Data Insights, is responsible for leading the hands-on development of EnableComp’s predictive intelligence platform, transforming our Databricks lakehouse from data storage into a revenue-generating prediction engine. As the Principal Engineer, Data Insights, you will own ML model development for multi-dimensional work prioritization, business insights, and strategic build-vs-partner decisions that determine how we scale our predictive capabilities. This is a 100% hands-on technical leadership role where you will architect and build the platform before scaling a team.
JOB RESPONSIBILITIES
- Real-time ML scoring infrastructure processing 10K+ claims daily with <2-second latency
- Feature engineering pipelines transforming raw claims, payer contracts, fee schedules, and partner data into predictive signals
- Multi-dimensional “super scoring” system combining contract variance, denial probability, and recovery likelihood across internal + partner datasets
- Model deployment architecture supporting A/B testing, automated retraining, and agentic development workflows
- MLflow model registry managing versioning, lineage, and deployment pipelines
- Unity Catalog implementation governing model access and data lineage
- Medallion architecture (Bronze/Silver/Gold) for analytics-ready data
- Work Prioritization & Super Scoring: Multi-dimensional scoring combining partner intelligence (denial scoring) with internal production data and learnings
- Portfolio Optimization: Cash flow forecasting, recovery probability modeling, capacity planning
- Contract Intelligence: Variance detection, underpayment prediction (evaluate build vs partnership)
- Additional Insights: Identify and develop predictive opportunities as platform matures
- Design and personally build ML platform architecture on Databricks/Azure from the ground up
- Develop production-ready predictive models from concept through deployment
- Implement distributed computing optimization for processing millions of historical claims
- Build automated model monitoring, retraining triggers, and performance dashboards
- Leverage agentic development frameworks for rapid model iteration
- Own end-to-end ML pipeline: feature engineering, model training, production deployment, monitoring
- Achieve <2-second latency for real-time scoring at scale
- Design APIs enabling consumption across operations, finance, and product teams
- Integrate denial scoring intelligence into super-scoring framework
- Own integration architecture whether building internally or partnering externally
REQUIREMENTS & QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Must have 6-8+ years deploying production ML systems, preferably in financial services or healthcare domains
- Deep hands-on expertise with Databricks, MLflow, Spark optimization, and distributed computing architectures
- Modern ML frameworks: Python, scikit-learn, XGBoost, LightGBM, deep learning libraries.
- Statistical modeling: Time series forecasting, ensemble methods, feature engineering at scale, survival analysis, causal inference
- Production deployment: Real-time scoring APIs, model monitoring, A/B testing frameworks
- Data engineering at scale: Unity Catalog governance, Delta Lake ACID transactions, streaming ingestion, schema evolution management
- Complex claims domain knowledge (VA, Workers’ Comp, MVA, Out-of-State Medicaid)
- Understanding of revenue cycle workflows and predictive opportunities
- Healthcare data experience: claims processing, payer behavior, denial patterns, medical coding
- Azure ML ecosystem and cloud infrastructure
- Data governance and HIPAA compliance requirements
- API design for cross-functional consumption
- Medallion architecture implementation (Bronze/Silver/Gold layers)
- Timely and regular attendance.
- Equivalent combination of education and experience will be considered
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
SPECIAL CONSIDERATIONS & PREREQUISITES
- Practices and adheres to EnableComp’s Core Values, Vision and Mission
- Exceptional technical leadership driving innovation in emerging technologies
- Ability to translate abstract AI capabilities into concrete RCM solutions
- Experience managing mixed onshore/offshore development teams
- Track record of delivering complex platforms that scale across business units
EnableComp is an Equal Opportunity Employer M/F/D/V. All applicants will be considered for this position based upon experience and knowledge, without regard to race, color, religion, national origin, sexual orientation, ancestry, marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discrimination or harassment.
EnableComp recruits, develops and retains the industry’s top talent. As the employer of choice in the complex claims industry, EnableComp takes pride in our continuous commitment to building and maintaining a culture centered around fostering the professional growth and development of our people. We believe that investing in our employees is the key to our success, and we are dedicated to providing them with the tools, resources, and support they need to thrive and grow their career here. At EnableComp, we are committed to living up to our core values each and every day, and we believe that this commitment is what sets us apart from other companies. If you are looking for a company that values its employees and is dedicated to helping them achieve their full potential, then EnableComp is the place for you.
Don’t just take our word for it! Hear what our people are saying:
“I love my job because everyone shares the same vision and is determined and dedicated. People care about you as a person and your professional growth. There is a genuine spirit of cooperation and shared goals all revolving around helping each other.” – Revenue Specialist
“I enjoy working for EnableComp because of the Core Values we believe in. EnableComp stands true to these values from empowering employees to ecstatic clients. This company is family oriented and flexible, along with understanding the balance of work, life, and fun.” – Supervisor, Operations
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
