Manager, Revenue Cycle Automation and Analytics

UChicago Medicine•Chicago, IL
•$145,900 - $170,200•Remote

About The Position

UChicago Medicine is seeking a Manager of Automation and Analytics for its Revenue Cycle Department. This full-time, remote role leads a cross-functional team responsible for reporting, data engineering, and process automation supporting hospital billing revenue cycle operations. The manager translates revenue cycle performance goals into scalable reporting solutions and automated workflows, builds team capability, prioritizes competing workstreams, and ensures initiatives produce measurable operational and financial impact. The position may be based outside the greater Chicagoland area, with a commitment to attend onsite training or required onsite meetings when needed.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • At least 5 years of progressively responsible management and operational experience in analytics engineering, data engineering, or a similar role.
  • Strong programming and data analysis skills, including SQL, Python, statistical analysis, and predictive modeling.
  • Experience building data models and working with cloud data platforms such as Azure, Snowflake, Databricks, or similar.
  • Experience with a modern data transformation approach such as dbt, stored procedures, or similar.
  • Experience integrating and reconciling data across multiple, disparate source systems.
  • Experience with data visualization and self-service analytics enablement using Power BI or Tableau.
  • Exceptional leadership, strategic thinking, and negotiation abilities.
  • Ability to prioritize, organize, and delegate work to meet aggressive deadlines.
  • Strong problem-solving and analytical skills to drive staff performance improvements.
  • Ability to work effectively in a diverse, multidisciplinary team and interact with people at all organizational levels, including remote teams.
  • Excellent interpersonal, written, oral, and presentation skills.
  • Ability to plan and facilitate meetings with diverse participants.
  • Ability to maintain a professional attitude and demeanor in normal and pressure situations.
  • Proficiency in Microsoft Excel, financial reporting tools, and revenue cycle management systems.

Nice To Haves

  • Master's degree.
  • Familiarity with hospital revenue cycle concepts, including charge capture, claims, denials, accounts receivable, and payer mix.
  • Epic experience.
  • Microsoft Fabric Analytics Engineer Associate Certification.
  • Other Microsoft SQL/BI, Epic, Tableau, or related certifications.

Responsibilities

  • Manage, mentor, and develop report analysts, analytics engineers, and UiPath RPA developers.
  • Set individual and team goals aligned with revenue cycle KPIs and process improvement priorities.
  • Conduct performance reviews, provide coaching, and support career development and technical growth.
  • Recruit, onboard, and build team capacity as workload and scope grow.
  • Foster collaboration across reporting, finance, patient financial services, and automation teams.
  • Oversee dashboards, reports, and data models supporting billing and revenue cycle performance, including accounts receivable, denials, cash collections, and productivity.
  • Ensure consistent reporting standards, metric definitions, and data governance.
  • Partner with the Executive Director and revenue cycle leadership to identify reporting gaps and prioritize the analytics roadmap.
  • Review and validate complex analyses before delivery to senior stakeholders.
  • Own intake, prioritization, and delivery of UiPath RPA automation opportunities.
  • Guide automation developers on solution design and ensure bots are HIPAA-compliant, stable, scalable, and well-documented.
  • Establish automation governance standards, including exception handling, monitoring, and change management.
  • Track automation return on investment, including hours saved, error reduction, and throughput gains, and report impact to leadership.
  • Identify manual, repetitive revenue cycle processes suitable for automation in partnership with operational teams.
  • Collaborate with the Executive Director to align team output with broader revenue cycle process improvement initiatives.
  • Identify opportunities at the intersection of analytics and automation, such as automating data validation and creating self-healing reporting pipelines.
  • Manage project timelines, resource allocation, and stakeholder communication across concurrent initiatives.
  • Evaluate and recommend tools, technologies, and best practices to improve team efficiency and output quality.
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