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Mount Sinai Services · 3 months ago

Product Manager I - AI - Digital and Technology Partners - Clinical Data Science Onsite/Hybrid

New York, NY

Full-time

Onsite

Mid Level

$120K/yr - $180K/yr

4+ years exp

Mount Sinai is one of the largest academic medical systems in the New York metro area, and they are seeking a Product Manager - AI to lead the deployment and operationalization of AI-driven solutions in clinical settings. The role involves defining product opportunities, overseeing the product lifecycle, and ensuring that AI products integrate seamlessly into clinical workflows while meeting regulatory standards.

Health CareHospitalHospitality

Responsibilities

Identify AI Product Opportunities

Conduct workflow analysis, stakeholder interviews, and data reviews to define and prioritize opportunities

Translate clinical requirements into AI product specifications and success metrics

Oversee AI Product Lifecycle

Lead product vision, strategy, and roadmap for AI solutions from concept to implementation

Collaborate with data science and engineering teams to develop and validate models, ensuring compliance with institutional policies and regulatory requirements

Partner with clinical and operational leaders to ensure seamless integration into hospital and care setting workflows

Launch and Operationalize AI Products

Develop adoption and change management plans to support clinician engagement and sustained use

Ensure deployment aligns with clinical workflows, DTP infrastructure, and patient safety protocols

Demonstrate Impact

Define KPIs for safety, quality, efficiency, and adoption; measure ROI

Prepare business cases and assurance reports for leadership and governance committees

Drive ongoing stakeholder engagement to sustain product effectiveness

Manage Stakeholders and Governance

Serve as the primary point of contact for AI product governance, including compliance, risk, and assurance activities

Build cross-functional coalitions, seek feedback, and drive decision-making

Participate in institutional AI governance committees and working groups

Other responsibilities: This role involves ambiguous, complex problem solving and will require flexibility in the scope of responsibilities

Other responsibilities include, but are not limited to, becoming a subject matter expert on various product, operational, and technical domains, participating in governance committees and working groups, and executing diverse initiatives

Qualification

AI product managementHealthcare AI expertiseData science collaborationEHR systems familiarityHealthcare understandingAnalytical thinkingChange managementEffective communicationCollaborative leadership

Required

Bachelor's degree

Four or more years of related experience

Background in analytical and strategic roles

Familiarity with EHR systems, healthcare interoperability, and clinical workflows

Preferred

Master's in Healthcare, Data Science, or related field

Technical, design, and data fluency

Understanding of healthcare

High-agency: Strong sense of ownership, accountability, and urgency in delivering AI products that make a real-world clinical impact

Healthcare AI expertise: Understanding of machine learning/AI development, deployment, and monitoring in clinical settings

Results-oriented: Committed to measurable improvements in patient safety, care quality, and operational efficiency

Effective communicator: Able to explain complex AI concepts and clinical workflows to diverse audiences, including executives and frontline clinicians

Advanced social-emotional skills: Relationship-driven, collaborative, humble, and patient

Quality decision maker: Curious, analytical, and critical thinker with top-tier acumen. Strong product, design, and business instincts

Collaborative leader: Skilled at aligning data science, engineering, and clinical teams toward shared goals