Director of Revenue Intelligence Job at Medix™, New York, NY

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  • Medix™
  • New York, NY

Job Description

📊 Director of Revenue Intelligence

📍 New York, NY 10029

🕒 Full-Time | Exempt

Are you a strategic, data-driven revenue cycle leader ready to build something impactful from the ground up? This is a rare opportunity to design and lead a modern Revenue Intelligence function at an enterprise level—leveraging advanced analytics, data science, and AI to grow and protect revenue across a complex healthcare system.

This role sits at the intersection of revenue cycle operations, analytics, and technology , partnering closely with executive leadership, digital teams, and operational stakeholders to deliver actionable insights and measurable financial results.

🧠 Role Overview

The Director of Revenue Intelligence is responsible for optimizing revenue cycle performance through advanced analytics, AI-driven solutions, and data governance. This leader will design and scale an enterprise revenue intelligence program, standardize KPIs, and ensure trusted, actionable data is delivered consistently across the organization.

You’ll play a key role in shaping analytics strategy, expanding data infrastructure, and driving adoption of dashboards and insights that directly influence revenue, cash flow, and operational efficiency.

🚀 What You’ll Do

  • Lead the development and adoption of advanced analytics, data science, and AI solutions to enhance revenue cycle performance
  • Identify and prioritize revenue opportunities using operational data, market trends, and predictive modeling
  • Design, pilot, and scale AI-enabled solutions in partnership with technology teams and vendors
  • Develop forward-looking revenue and cash flow projections
  • Define the vision and roadmap for enterprise revenue cycle analytics, ensuring usability and actionability
  • Build and oversee dashboards covering denials, AR aging, claims lag, DNFB, and related KPIs
  • Work extensively within Epic Hospital Billing (HB), leveraging Clarity and Caboodle data models
  • Serve as a subject matter expert on Epic database structures and backend reporting tools
  • Establish data governance frameworks, KPI definitions, and reporting standards
  • Monitor outcomes of revenue initiatives and communicate insights to senior leadership
  • Build and manage a high-performing team of analysts, BI developers, data scientists, and engineers
  • Collaborate with finance, operations, clinical partners, and technology teams to align analytics with strategic goals
  • Ensure compliance with HIPAA and all regulatory requirements

🎓 What We’re Looking For

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Actuarial Science, or related field (Master’s preferred)
  • 7+ years of progressive experience in healthcare analytics or revenue cycle operations
  • Demonstrated success in a large academic, not-for-profit, or multi-entity health system
  • Epic certifications in Clarity and Caboodle data models (required)
  • Deep experience with Epic revenue cycle data, hospital and physician claims, and encounter data
  • Strong SQL development skills and experience with BI tools (e.g., Tableau, Excel)
  • Proven leadership experience managing cross-functional teams
  • Expertise in data governance, KPI standardization, and metadata management
  • Strong executive communication skills with the ability to translate complex data into business strategy

💡 Why This Role Stands Out

  • Build a revenue intelligence program from the ground up
  • Partner directly with senior executives and enterprise leaders
  • Influence revenue growth, operational efficiency, and strategic decision-making
  • Lead cutting-edge analytics and AI initiatives in healthcare
  • High visibility, high impact role with long-term influence

💰 Compensation & Benefits

  • Competitive executive-level compensation
  • Comprehensive benefits package including medical, dental, vision, retirement plans, PTO, and wellness programs
  • Collaborative, mission-driven environment within an academic health system

Job Tags

Full time,

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