Principal Risk Adjustment & Revenue Integrity Analytics Lead

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
133K-181K Annually
Senior level
Healthtech • Machine Learning • Natural Language Processing • Other • Telehealth • Conversational AI • Generative AI
AI + cloud-first healthcare: building intelligent systems that empower physicians and transform patient outcomes.
The Role
Lead Medicare Advantage Part C and Part D risk adjustment analytics, including RAF and revenue forecasting, diagnosis-to-payment reconciliation, recovery opportunity tracking, provider and vendor performance measurement, and automated reporting. Build trusted SQL-based data assets, dashboards, validation controls, and executive narratives while monitoring CMS regulatory changes and quantifying financial and operational impacts. Partner with Risk Adjustment, Finance, Actuarial, and operational teams to improve risk-score and revenue intelligence.
Summary Generated by Built In

Your Future is our Future


At Lumeris, we believe that our greatest achievements are made possible by the talent and commitment of our team members. That's why we are actively seeking talented and collaborative individuals who are passionate about making a difference in the healthcare industry. Join us today as we strive to create a system of care that every doctor wants for their own family and become part of a community that values its people and empowers you to make an impact.


We're excited to consider every qualified candidate authorized to work in the United States, although we are unable to sponsor visas for this role at this time.

Position:Principal Risk Adjustment & Revenue Integrity Analytics Lead

Position Summary:The Principal Risk Adjustment & Revenue Integrity Analytics Lead is a senior, hands-on analytics leader responsible for designing, building, validating, and operationalizing Medicare Advantage Part C risk adjustment analytics. Reporting directly to the Senior Director of Health Plan Analytics, this role directly supports the Medicare Advantage plans of Essence Healthcare, serving as the analytic truth owner for Risk Adjustment by connecting risk-score performance, diagnosis and HCC capture, encounter submissions, and revenue impact into a single, trusted operating model. The lead will partner closely with the VP of Risk Adjustment Solutions and Strategy to align technical analytic models with overall business operations and strategic interventions.
The lead is expected to work independently, translating complex data from claims, encounters, eligibility, and CMS sources into actionable performance intelligence. This individual will act as a senior builder and strategic partner to Risk Adjustment, Finance, Actuarial, and other key departments. The ideal candidate will be a domain owner who can distinguish the drivers of financial performance—whether it's population mix, model changes, or operational execution—and establish an auditable fact base for action. This role is pivotal in shifting the function from retrospective reporting to proactive risk and revenue intelligence.

Job Description:

Primary Responsibilities


  • Build and Own Risk Adjustment Analytic Truth: Design, build, and maintain the primary analytic assets, dashboards, and reporting for Part C and Part D risk-score performance.
  • Forecast Part C RAF, Bid/Budget Performance, and Revenue: Develop and maintain risk-score and revenue forecasting models, comparing projections to actuals and decomposing any variances into documented drivers.
  • Reconcile the Diagnosis-to-Payment Lifecycle: Trace diagnoses and HCCs from source to payment, analyzing submission and response data (e.g., EDPS, MAO-004) to create repeatable reconciliation controls.
  • Identify, Size, and Track Recovery Opportunities: Analyze and track opportunities such as recapture and chart reviews using documented valuation rules, ensuring clear ROI visibility and preventing double counting.
  • Drive Risk Adjustment Provider, Vendor, and Operational Performance: Partner with internal teams to prioritize high-impact opportunities and measure performance by provider, program, vendor, and intervention.
  • Automate and Scale Risk Adjustment Intelligence: Automate recurring reporting to reduce manual effort through scalable dashboards, reusable SQL, documented business logic, and repeatable processes.
  • Own Risk Adjustment Business Logic and Data Trustworthiness: Own the domain's business logic, metric definitions, and data quality criteria to ensure all reporting is accurate, reproducible, and fit for executive use.
  • Communicate Executive-Ready Performance Narratives: Translate complex model, coding, and financial logic into clear, decision-ready narratives for leadership and non-technical stakeholders.
  • Monitor CMS Regulation & Quantify Impact: Serve as a senior subject matter expert on Medicare Advantage Risk Adjustment, monitoring regulatory changes and quantifying their impact on the organization's data, forecasts, and operations.

Qualifications


  • Bachelor's degree in a related field such as Mathematics, Statistics, Computer Science, Data Analytics, Health Informatics, Finance, or Actuarial Science.
  • 8+ years of healthcare analytics experience, with direct experience in Medicare Advantage Part C Risk Adjustment, RAF, CMS-HCC, and risk-adjusted payment performance.
  • Demonstrated experience analyzing Part C risk-score performance, including model impacts, coding trends, population mix, and submission outcomes.
  • Experience with Risk Adjustment data flows, including claims/encounters, eligibility, provider data, supplemental files, EDPS, MAO-004, and MMR/payment data.
  • Ability to build and reconcile forecast-to-actual performance across Bid, Budget, projections, and final reconciliation.
  • Hands-on experience writing complex SQL to extract and reconcile data from large-scale data environments.
  • Experience building dashboards and automated reports using tools like Power BI or Tableau.
  • Experience designing validation, QA, and reconciliation controls for high-stakes financial or healthcare analytics.
  • Experience using AI-enabled analytics, automation, or advanced statistical tools to accelerate insight generation.
  • Ability to self-direct analyses, manage ambiguity, and deliver actionable insights with limited direction.
  • Strong communication skills with the ability to explain complex drivers to senior leadership.

Preferred


  • Advanced degree in Analytics, Economics, Health Informatics, Finance, Actuarial Science, Business Administration, or a related field.
  • Experience with Part D risk-score analytics, PDE, coding/chart-review programs, provider risk arrangements, or using Python/R for advanced analytics.

Working Conditions


  • While performing the duties of this job, the employee works in normal office working conditions.

#LI-REMOTE

Pay Transparency:

Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.

The hiring range for this position is:

$133,200.00-$180,900.00

Benefits of working at Lumeris

  • Medical, Vision and Dental Plans

  • Tax-Advantage Savings Accounts (FSA & HSA)

  • Life Insurance and Disability Insurance

  • Paid Time Off (PTO, Sick Time, Paid Leave, Volunteer & Wellness Days)

  • Employee Assistance Program

  • 401k with company match

  • Employee Resource Groups

  • Employee Discount Program

  • Learning and Development Opportunities

  • And much more...

Be part of a team that is changing healthcare!


Member Facing Position: No- Not Member or Patient Facing Position
Drug Screen Requirement: No
MVR Required:No
Credit Check Required:No

Location:Remote, USA

Time Type:Full time

Lumeris and its partners are committed to protecting our high-risk members & prospects when conducting business in-person. All personnel who interact with at-risk members or prospects are required to have completed, at a minimum, the initial series of an approved COVID-19 vaccine. If this role has been identified as member-facing, proof of vaccination will be required as a condition of employment.Disclaimer:
  • The job description describes the general nature and level of work being performed by people assigned to this job and is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical activities, demands and working conditions represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individual with disabilities to perform the essential job duties and responsibilities.
Lumeris is an EEO/AA employer M/F/V/D.

Skills Required

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics, Health Informatics, Finance, Actuarial Science, or a related field
  • 8+ years of healthcare analytics experience
  • Direct experience with Medicare Advantage Part C risk adjustment, RAF, CMS-HCC, and risk-adjusted payment performance
  • Experience analyzing Part C risk-score performance, model impacts, coding trends, population mix, and submission outcomes
  • Experience with risk adjustment data flows, including claims or encounters, eligibility, provider data, supplemental files, EDPS, MAO-004, and MMR/payment data
  • Ability to build and reconcile forecast-to-actual performance across Bid, Budget, projections, and final reconciliation
  • Hands-on experience writing complex SQL against large-scale data environments
  • Experience building dashboards and automated reports using Power BI or Tableau
  • Experience designing validation, QA, and reconciliation controls for high-stakes financial or healthcare analytics
  • Experience using AI-enabled analytics, automation, or advanced statistical tools
  • Ability to self-direct analyses, manage ambiguity, and deliver actionable insights with limited direction
  • Strong communication skills and ability to explain complex drivers to senior leadership
  • Advanced degree in Analytics, Economics, Health Informatics, Finance, Actuarial Science, Business Administration, or a related field
  • Experience with Part D risk-score analytics, PDE, coding or chart-review programs, provider risk arrangements, or Python/R for advanced analytics

Lumeris Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lumeris and has not been reviewed or approved by Lumeris.

  • Leave & Time Off Breadth — Paid time off is characterized as generous, spanning vacation, sick time, holidays, wellness days, and a volunteer day. Paid medical and parental leave, flexible time off, and floating holidays are also included.
  • Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage with HSA/FSA options, plus company-paid life, AD&D, and short- and long-term disability. An Employee Assistance Program, wellness days, and well-being programs strengthen mental and physical health support.
  • Retirement Support — A 401(k) savings plan with a company match is positioned as part of total compensation. This structure supports long-term financial planning for employees.

Lumeris Insights

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The Company
HQ: Saint Louis, MO
1,001 Employees
Year Founded: 2001

What We Do

Lumeris is a tech-enabled value-based care company driving the future of healthcare through cloud-native platforms, AI, and data engineering. We partner with health systems, payers, and physicians nationwide to improve patient outcomes, lower costs, and reimagine the clinical experience. At the center of our technology strategy is Tom™, an industry-first AI-powered platform built on Google Cloud Platform. Tom uses advanced generative AI, agentic systems, and predictive analytics to reduce administrative burden, deliver real-time clinical insights, and help physicians focus on patients—not paperwork. Our engineers, data scientists, and clinicians work together to tackle challenges like: Designing scalable data pipelines that unify disparate health data (EHR, HL7, FHIR). Building and deploying production-grade AI/ML models on Vertex AI, BigQuery, and Dataflow. Operationalizing MLOps and AI Ops frameworks for speed, reliability, and compliance. Embedding LLM-powered agents into clinical workflows and patient-facing applications. Applying cloud-first design principles with modern stacks (Kubernetes, Terraform, Docker) to ensure scalability, security, and interoperability. With more than a decade of experience in value-based care, Lumeris combines deep healthcare expertise with a startup mindset in tech innovation. Every project directly impacts patient health, provider satisfaction, and the way care is delivered at scale.

Why Work With Us

For engineers and builders, Lumeris offers the chance to work on hard technical problems with real-world impact: data modeling at population scale, responsible generative AI in regulated environments, and modernizing clinical workflows for millions of patients.

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