Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.M
Mount Sinai Health System, New York, NY, United States
Data Product Manager III
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 data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR·MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR·MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR·MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science.
Responsibilities
Understand the data needs of researchers and clinicians.
Own and maintain the AIR.MS data-related product roadmap.
Translate the customer-driven data-related product vision into clear, actionable requirements for the data development teams.
Define, track, and analyze product and delivery metrics to measure adoption, performance, and success.
Develop standards, processes and procedures for effective and efficient delivery of AIR·MS data-related product features.
Maintain a customer-focused approach to prioritize data-related features solutions optimized for scientific impact.
Ensure there are effective validation and quality control/assurance strategies for data on AIR.MS.
Partner with relevant teams to ensure compliance with data privacy, security, and regulatory requirements (e.g., HIPAA, PHI handling), as applicable.
Work effectively and collaboratively with other professionals internal and external to Mount Sinai.
May act as a project leader.
Performs related duties as assigned or requested.
Qualifications
Education Requirements
Bachelor’s Degree or combination of education and equivalent experience; Master’s preferred
MD or PhD degree in Biomedical Science, Computer Science, Engineering, or a related discipline preferred.
Experience Requirements
Eight or more years of related experience technology in biomedical fields, such as databases, software engineering/development. Extensive knowledge of computer science concepts.
Product management, analytics, or data analytic roles
Experience in or understanding of healthcare or health data (e.g., EHRs, claims, clinical quality measures, population health) - Preferred
Knowledge of modern data tools and methodologies (e.g., SQL, data warehouses, data visualization tools) - Preferred
Preferred Experience
Strong technical aptitude and experience working closely with data engineering teams.
Proven ability to translate complex user needs into clear technical requirements.
Prior experience working with healthcare data is strongly preferred.
Prior experience working with researchers, clinicians, students, fellows, residents and administrators.
Prior experience in academic medical centers is strongly preferred.
Strong consultative customer service, leadership and communication skills (verbal and written) to effectively interact with researchers, clinicians, hospital administrators, and other IT personnel at different technical levels is required.
Highly-effective communication skills to partner with technical and non-technical staff, faculty and administrators is required.
Superior presentation and writing skills are required.
Excellent critical thinking, problem-solving, multi-tasking, and collaboration skills.
Computer Skills
MS Office Suite: Intermediate
Experience with SQL, Tableau, and Productivity tools
General Skills And Competencies
Strong verbal and written communication skills, including the ability to synthesize data insights into compelling narratives
Strong stakeholder management across clinical, technical, and business units
Excellent problem-solving and analytical skills
Knowledge of data governance and healthcare compliance considerations
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
Compensation
The salary range for the role is $145,200 - $217,875 Annually.
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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 data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR·MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR·MS ingests OHDSI’s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR·MS is integrated with Minerva, a high-performance computer with >21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science.
Responsibilities
Understand the data needs of researchers and clinicians.
Own and maintain the AIR.MS data-related product roadmap.
Translate the customer-driven data-related product vision into clear, actionable requirements for the data development teams.
Define, track, and analyze product and delivery metrics to measure adoption, performance, and success.
Develop standards, processes and procedures for effective and efficient delivery of AIR·MS data-related product features.
Maintain a customer-focused approach to prioritize data-related features solutions optimized for scientific impact.
Ensure there are effective validation and quality control/assurance strategies for data on AIR.MS.
Partner with relevant teams to ensure compliance with data privacy, security, and regulatory requirements (e.g., HIPAA, PHI handling), as applicable.
Work effectively and collaboratively with other professionals internal and external to Mount Sinai.
May act as a project leader.
Performs related duties as assigned or requested.
Qualifications
Education Requirements
Bachelor’s Degree or combination of education and equivalent experience; Master’s preferred
MD or PhD degree in Biomedical Science, Computer Science, Engineering, or a related discipline preferred.
Experience Requirements
Eight or more years of related experience technology in biomedical fields, such as databases, software engineering/development. Extensive knowledge of computer science concepts.
Product management, analytics, or data analytic roles
Experience in or understanding of healthcare or health data (e.g., EHRs, claims, clinical quality measures, population health) - Preferred
Knowledge of modern data tools and methodologies (e.g., SQL, data warehouses, data visualization tools) - Preferred
Preferred Experience
Strong technical aptitude and experience working closely with data engineering teams.
Proven ability to translate complex user needs into clear technical requirements.
Prior experience working with healthcare data is strongly preferred.
Prior experience working with researchers, clinicians, students, fellows, residents and administrators.
Prior experience in academic medical centers is strongly preferred.
Strong consultative customer service, leadership and communication skills (verbal and written) to effectively interact with researchers, clinicians, hospital administrators, and other IT personnel at different technical levels is required.
Highly-effective communication skills to partner with technical and non-technical staff, faculty and administrators is required.
Superior presentation and writing skills are required.
Excellent critical thinking, problem-solving, multi-tasking, and collaboration skills.
Computer Skills
MS Office Suite: Intermediate
Experience with SQL, Tableau, and Productivity tools
General Skills And Competencies
Strong verbal and written communication skills, including the ability to synthesize data insights into compelling narratives
Strong stakeholder management across clinical, technical, and business units
Excellent problem-solving and analytical skills
Knowledge of data governance and healthcare compliance considerations
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.
Compensation
The salary range for the role is $145,200 - $217,875 Annually.
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