[Hiring] AI Engineer (Data Intelligence Analyst) @Cedars-Sinai

Role Description

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 in 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.
• Provides the specialized expertise needed to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.
• Supports Azure Fabric migration by developing reusable data models, pipelines, semantic layers, AI-ready datasets, and governance-aligned reporting assets.
• Accelerates 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 requests and makes recommendations for solutions 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 through current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects.
• 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.
• 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.

Qualifications

• Strong understanding of healthcare data and analytics.
• Experience with AI and analytics solutions.
• Proficiency in data modeling and reporting tools.
• Excellent problem-solving and critical thinking skills.

Requirements

• Experience in data analysis and report generation.
• Knowledge of Azure Fabric and related technologies.
• Ability to work independently and manage vendor relationships.
• Strong communication skills for collaboration with stakeholders.

Benefits

• Outstanding benefit package.
• Competitive salaries.
• Commitment to diversity and inclusion in the workplace.

Company Description

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.

• Recognized by the “CHIME Digital Health Most Wired“ program with a Level 10 certification.
• High scores in infrastructure, interoperability, and population health innovation.