Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS)
Not Disclosed•Full-TimeOn-site
location_on9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
About the Team
The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. Our expert team of 20+ PhD/MD computational scientists, biomedical informaticists, and computer scientists works to effectively and efficiently utilize high-performance resources for translational science.
We are proud to be part of the Mount Sinai Health System, one of the largest academic medical systems in the New York metro area. With over 48,000 employees across eight hospitals, 400+ outpatient practices, and leading schools of medicine and nursing, we advance health for all people by tackling complex healthcare challenges through innovation, education, and high-quality care.
About the Role
The Data Product Manager III is a senior technical specialist responsible for developing the ongoing strategy, roadmap, and data-related features for the AI-Ready.Mount Sinai (AIR·MS) platform. This role exists to bridge the gap between complex data infrastructure and the researchers who rely on it. You will understand the unique needs of researchers utilizing AIR·MS, prioritize data-related features for maximal user satisfaction and research impact, and align stakeholders to ensure implementation strategies are executed on scope and schedule.
AIR·MS is a cloud-based, high-performance SAP HANA data platform containing electronic health record (EHR) data in OMOP format, alongside metadata and links to raw datasets in radiology, genomics, and pathology. It integrates with Minerva, a high-performance computer with over 21 petaflops of raw computational power. As the Data Product Manager III, you will work collaboratively with the AIR·MS data platform team, institutional partners, and technology partners at the Hasso Plattner Institute in Potsdam, Germany, and the non-profit Data4Life. Your day will involve translating complex user needs into clear technical requirements, defining product metrics, and ensuring our data solutions are optimized for scientific impact while maintaining rigorous standards for privacy and security.
Work location
Work model: On-site
9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States
New York, New York
Key Responsibilities
- check_circleOwn and maintain the AIR.MS data-related product roadmap
- check_circleTranslate customer-driven product vision into clear technical requirements
- check_circleDefine, track, and analyze product metrics to measure adoption and success
- check_circleDevelop standards and processes for efficient delivery of data features
- check_circlePrioritize data-related features to optimize scientific impact and user satisfaction
- check_circleEnsure effective validation and quality control strategies for platform data
- check_circlePartner with teams to ensure compliance with data privacy and security regulations
Requirements
- verifiedBachelor's Degree or equivalent experience
- verifiedMaster's degree preferred
- verifiedMD or PhD in Biomedical Science, Computer Science, Engineering, or related discipline preferred
- verified8+ years of related technology experience in biomedical fields
- verifiedExperience in product management, analytics, or data analytic roles
- verifiedKnowledge of SQL, data warehouses, and data visualization tools
- verifiedExperience with MS Office Suite, SQL, and Tableau
- verifiedKnowledge of data governance and healthcare compliance
Nice to Have
Master's degree; MD or PhD degree in Biomedical Science, Computer Science, Engineering, or a related discipline; Experience in or understanding of healthcare or health data (e.g., EHRs, claims, clinical quality measures, population health); Knowledge of modern data tools and methodologies (e.g., SQL, data warehouses, data visualization tools); Strong technical aptitude and experience working closely with data engineering teams; Prior experience working with healthcare data; Prior experience working with researchers, clinicians, students, fellows, residents and administrators; Prior experience in academic medical centers.
Similar Job Opportunities
Skills, education and keywords
Skills: Sap Hana, Omop, Ohdsi, Minerva, SQL, Tableau, MS Office Suite, Hipaa, PH.
Education: Bachelor's Degree or combination of education and equivalent experience; Master's degree preferred; MD or PhD degree in Biomedical Science, Computer Science, Engineering, or related discipline preferred.
Frequently asked questions about Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System
What does a Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System do?expand_more
Day-to-day, the Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System will own and maintain the air.ms data-related product roadmap; translate customer-driven product vision into clear technical requirements; define, track, and analyze product metrics to measure adoption and success; and develop standards and processes for efficient delivery of data features.
What are the requirements for this Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role?expand_more
To qualify for the Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System position, applicants should have: Bachelor's Degree or equivalent experience; Master's degree preferred; MD or PhD in Biomedical Science, Computer Science, Engineering, or related discipline preferred; 8+ years of related technology experience in biomedical fields; Experience in product management, analytics, or data analytic roles; and Knowledge of SQL, data warehouses, and data visualization tools.
Where is the Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role at Mount Sinai Health System located?expand_more
Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System is based in 9, East 45th Street, Midtown, Manhattan Community Board 5, Manhattan, New York County, New York, 10017, United States. This is a on-site role.
Is this Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) job remote, hybrid, or on-site?expand_more
Mount Sinai Health System has listed this Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role as on-site.
How much experience is required for this Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role?expand_more
Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System typically requires 8+ years of relevant experience at the senior level.
What skills do you need for the Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role at Mount Sinai Health System?expand_more
Key skills for Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System include Sap Hana; Omop; Ohdsi; Minerva; SQL; Tableau; MS Office Suite; and Hipaa.
What education is required for Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System?expand_more
Educational requirements for this role: Bachelor's Degree or combination of education and equivalent experience; Master's degree preferred; and MD or PhD degree in Biomedical Science, Computer Science, Engineering, or related discipline preferred.
What category does the Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) role belong to?expand_more
Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS) at Mount Sinai Health System is part of the healthcare & nursing job category on Recrutus.