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

Mount Sinai Health Systems•New York, NY

1d•$132,000 - $198,065•Hybrid

About The Position

The Product Manager supports data strategy and data partnership activities across Mount Sinai Innovation Partners and Mount Sinai Health System Data Partnerships. This highly collaborative role works with MSHS Enterprise Data Partners, DTP, the Digital and AI team, data subject matter experts, and internal and external stakeholders—including vendors, requestors, and researchers—to establish and maintain processes, partnerships, and planning practices for the intake, assessment, prioritization, planning, tracking, and delivery of data requests and initiatives. The role translates stakeholder needs into clear data requirements, action plans, timelines, and expected outputs. It coordinates data preparation and delivery plans for individual requests, cohorts, consortiums, and related initiatives; assesses feasibility, effort, cost, sequencing, timelines, and impacts on DTP resources and services; and works with data SMEs and stakeholders to analyze and validate data outputs. The position is hybrid/onsite, with preference for candidates in New York, New Jersey, or Connecticut who can commute in monthly as needed.

Requirements

Bachelor’s degree or a combination of education and equivalent experience.
Six or more years of related experience in product management, analytics, data analytics, data operations, project management, or a related area.
Experience with productivity tools, Tableau, and SQL.
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 with data SMEs to validate results.
Excellent problem-solving and analytical skills.
Knowledge of data governance, data quality, and healthcare data considerations.

Nice To Haves

Master’s degree preferred.
Experience in or understanding of healthcare or health data, such as EHRs, claims, clinical quality measures, or population health.
Knowledge of modern data platforms, data tools, and methodologies, such as SQL, data warehouses, and data visualization tools.
Familiarity with enterprise data platforms preferred.

Responsibilities

Collaborate 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 priorities, owners, timelines, milestones, dependencies, risks, and next steps.
Translate stakeholder needs into data requirements, action plans, delivery expectations, and plans for individual requests, cohorts, consortiums, and related initiatives.
Partner with data SMEs and DTP teams to assess data availability, identify data sources, and determine the work needed to prepare data for intended use.
Use working knowledge of MSHS data platforms, assets, and services to support solution planning and stakeholder requests.
Analyze and interpret data outputs for completeness, consistency, and alignment with requirements; work with data SMEs and requestors to investigate questions or discrepancies.
Facilitate prioritization and sequencing discussions, providing 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 workflows for data request intake, assessment, planning, tracking, communication, and handoffs.
Coordinate cross-functional delivery of secure, high-quality data solutions and services with the Digital and AI team, data engineering, analytics, governance, and other DTP teams; communicate status, risks, issues, and recommendations to stakeholders.
Perform related duties as assigned or requested.