Product Manager II - Data Strategy & Solutions - Digital and Technology Partners - Hybrid/Onsite

This is a hybrid/onsite position, prefer someone in tri-state NY, NJ or CT to commute in monthly as needed.

The Product Manager is responsible for supporting data strategy and data partnership activities across Mount Sinai Innovation Partners and Mount Sinai Health System Data Partnerships. This highly collaborative role partners closely with the MSHS Enterprise Data Partners, DTP, the Digital and AI team, data subject matter experts (SMEs), and internal and external MSHS stakeholders - including vendors, requestors, and researchers - to develop and maintain foundational processes, partnerships, and planning practices that support effective intake, assessment, prioritization, planning, tracking, and delivery of data requests and initiatives. The Product Manager facilitates cross-functional collaboration to determine feasibility, effort, cost, sequencing, timelines, and impacts on DTP resources and services.

Successful Data Strategy & Solutions Product Managers will: 

• Develop and maintain strong, highly collaborative working relationships with the MSHS Digital and AI team, MSIP, MSHS Data Partnerships, DTP teams, data SMEs, and internal and external MSHS stakeholders, including vendors, requestors, and researchers
• Use and reinforce established processes for data intake, assessment, prioritization, planning, tracking, and delivery
• Translate stakeholder needs into clear data requirements, action plans, timelines, and expected outputs
• Understand and leverage MSHS data platforms, analyze and interpret data outputs, and work with data SMEs and stakeholders to validate results
• Develop and coordinate data preparation and delivery plans for individual requests, cohorts, consortiums, and related data initiatives
   

• Collaborate closely with internal and external MSHS stakeholders - including vendors, requestors, and researchers - to understand, refine, and prioritize data needs and expected outputs

• Manage and track data requests and projects from intake through completion, maintaining clear priorities, owners, timelines, milestones, dependencies, risks, and next steps

• Translate stakeholder needs into clear data requirements, action plans, and delivery expectations, including plans for individual requests, cohorts, consortiums, and related data initiatives

• Partner with data SMEs and DTP teams to assess data availability, identify appropriate data sources, and determine the work needed to prepare data for intended use

• Use working knowledge of MSHS data platforms, data assets, and services to support solution planning and stakeholder requests

• Analyze and interpret data outputs to assess completeness, consistency, and alignment with defined requirements; work with data SMEs and requestors to investigate questions or discrepancies

• Facilitate prioritization and sequencing discussions and provide information on business value, urgency, feasibility, effort, dependencies, capacity, cost, and impact on DTP services

• Develop and maintain project trackers, roadmaps, backlogs, status reports, timelines, and other planning tools to provide visibility into active and upcoming work

• Develop, document, and improve standard processes and workflows for data request intake, assessment, planning, tracking, communication, and handoffs

• Partner closely with the MSHS Digital and AI team and with data engineering, analytics, governance, and other DTP teams to coordinate cross-functional delivery of secure, high-quality data solutions and services; communicate status, risks, issues, and recommendations to internal and external MSHS stakeholders

• Performs related duties as assigned or requested

• Bachelor’s Degree or combination of education and equivalent experience; Master’s preferred

• Experience with Productivity tools, Tableau, and SQL; familiarity with enterprise data platforms preferred

• Strong verbal and written communication skills, including the ability to synthesize information and communicate clear status, issues, and next steps
• Strong project, organizational, and stakeholder management skills, including planning, prioritization, timeline development, tracking, and follow-through
• Ability to analyze and interpret data outputs, learn and leverage MSHS data platforms, and collaborate effectively with data SMEs to validate results
• Excellent problem-solving and analytical skills
• Knowledge of data governance, data quality, and healthcare data considerations