Lead Data Warehouse Engineer - Artificial Intelligence-Ready Mount Sinai (AIR.MS)
Mount Sinai Health System
Check Your Fit
Have a quick 6-10 minute voice conversation to see how your skills match this role. Get personalized feedback — no resume needed.
About this role
Job Description The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR·MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw d…
What you'll get after applying
Unlike traditional applications, you won't submit and wait in silence. Here's what you get immediately:
See what you did well — communication, experience, enthusiasm
Specific, actionable feedback on how to strengthen your interview skills
Personalized guides and resources to help you grow professionally
Common questions
How does Apply by Voice work?
Instead of filling out forms or uploading a resume, you have a 6-10 minute voice conversation with an AI interviewer. It asks about your experience, skills, and interest in the role — then gives you instant feedback.
What feedback do I get after applying?
You'll immediately see your strengths highlighted, specific areas for improvement, actionable tips to get better, and recommended resources to build your interview skills.
How long does the conversation take?
Most conversations take 6-10 minutes. It's a natural back-and-forth about your experience — much faster than filling out a traditional application.