Data Product Manager III - Artificial Intelligence (AI)-Ready Mount Sinai (AIR.MS)

Mount Sinai Health System•New York, NY

17h

About The Position

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. The Data Product Manager III is a senior technical specialist responsible for developing the ongoing strategy, roadmap and data-related features for AIR·MS. The Data Product Manager III will understand the needs of the researchers utilizing the AIR·MS platform, prioritize the data-related features for maximal user satisfaction and research impact. The incumbent will align stakeholders and ensure implementation strategies are executed on scope and schedule for continued growth of the data-related features of AIR·MS. The incumbent will work collaboratively with all members of the AIR·MS data platform team along with the institutional and technology partners at the Hasso Plattner Institute in Potsdam, Germany and the non-profit Data4Life.

Requirements

Bachelor’s Degree or combination of education and equivalent experience
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)
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.
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.
MS Office Suite: Intermediate
Experience with SQL, Tableau, and Productivity tools
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

Nice To Haves

Master’s preferred
MD or PhD degree in Biomedical Science, Computer Science, Engineering, or a related discipline preferred.

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.