AI Engineer (Data Intelligence Analyst) - Remote

Grow your career at Cedars-Sinai!

Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.

The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “CHIME Digital Health Most Wired“ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

Why work here?

Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

What you will be doing:

The Ai Engineer (Data Intelligence Analyst) works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Produces data sets, reports, ad-hoc requests, dashboards, etc. Conducts data analysis in support of a variety of analytic solutions. 

• Provide the specialized expertise needed to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment. 
• This role will support Azure Fabric migration by developing reusable data models, pipelines, semantic layers, AI-ready datasets, and governance-aligned reporting assets.
• Accelerate delivery of predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed across the organization.
• Demonstrates a strong understanding of report analysis and development. Triages intake of data requests and seeks an understanding of business needs.
• Applies knowledge of healthcare and critical thinking skills in the analysis of business request and makes recommendations for solution/s to solve challenges.
• Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts; provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers. 
• Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners.
• Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.
• Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. In addition, using current and projected data, provides recommendations.
• Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. Handles relationship with external vendors.
• Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Manages testing projects as necessary.
• Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.

*Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas*