AI Engineer (Rev Cycle Data Intelligence Analyst)

Cedars-Sinai Medical Center•Los Angeles, CA

1d•Remote

About The Position

The AI Engineer (Rev Cycle Data Intelligence Analyst) supports enterprise data intelligence projects by translating end-user requests into business requirements, data definitions, business rules, and data quality requirements. The role develops specifications for reports and analysis, produces datasets, reports, dashboards, and ad hoc analyses, and conducts data analysis for a range of analytic solutions. It provides specialized expertise to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment, with a focus on revenue cycle analytics for hospital and professional billing. The role accelerates predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed. The position analyzes and develops reports, triages data-request intake, clarifies business needs, and applies healthcare knowledge and critical thinking to recommend solutions. It conducts quantitative and qualitative analysis and reports patterns, insights, and trends to decision-makers, working with team members, vendors, and other EIS contacts. It may participate in operational workflow re-engineering with end users and business owners. The role leads complex process and requirements analysis, including process mapping, stakeholder analysis, requirements elicitation, and specification gathering, and provides recommendations using current and projected data. The position serves as a primary vendor contact for larger and more complex projects and critical issues, manages external vendor relationships, and provides independent guidance and leadership for quality assurance and testing. It can lead complex integrated testing processes and manage testing projects. The role also contributes to strategy discussions by identifying options and their pros and cons. Remote work is approved in Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, and Texas.

Requirements

At least three years of experience with SQL.
Demonstrated ability with query tools such as Python, R, Oracle, Microsoft SQL, and Power BI.
At least one year of experience with Epic hospital billing and professional billing modules.
Hands-on experience performing reporting analysis and developing custom reports.
Familiarity with databases used in patient care, hospital administrative applications, and data warehousing technology.
Experience analyzing basic to moderately sophisticated Clarity report requests and Reporting Workbench and Radar build requests.
Understanding of healthcare applications and the needs and priorities of patient care providers.
Technical proficiency in Reporting Workbench and Radar build.
Ability to teach sophisticated Reporting Workbench and Radar build concepts.
Bachelor’s degree in Computer Science or a related field.

Nice To Haves

Experience developing Epic Clarity hospital billing and/or professional billing reports.
Coursework in a quantitative field.
Epic hospital billing and/or professional billing certification.
SQL Server certification.

Responsibilities

Translate end-user requests into business requirements, data definitions, business rules, and data quality requirements for enterprise data intelligence projects.
Create specifications for reports and analyses based on business or clinical needs and available or required data elements.
Produce datasets, reports, dashboards, and ad hoc analyses; conduct data analysis for analytic solutions.
Build, validate, and operationalize AI and analytics solutions in a secure healthcare environment, supporting hospital and professional billing revenue cycle analytics.
Support delivery of predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence.
Analyze and develop reports; triage data-request intake and clarify business needs.
Apply healthcare knowledge and critical thinking to recommend solutions to business challenges.
Provide quantitative and qualitative analysis and report patterns, insights, and trends to decision-makers.
Participate in re-engineering operational workflows with end users and business owners as needed.
Lead and evaluate process and requirements analysis, including process mapping, stakeholder analysis, requirements elicitation, and specification gathering for complex projects.
Provide recommendations using current and projected data.
Act as the primary contact for vendor support and assistance on larger, more complex projects and increasingly complex or critical issues; manage external vendor relationships.
Provide guidance and leadership for quality assurance and testing initiatives, lead complex integrated testing processes, and manage testing projects as necessary.
Contribute to strategy discussions by identifying options and associated pros and cons.