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

Mount Sinai Health System•New York, NY

3h•$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 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 Product Manager facilitates cross-functional collaboration to determine feasibility, effort, cost, sequencing, timelines, and effects on DTP resources and services. The role translates stakeholder needs into data requirements, action plans, timelines, and delivery expectations; coordinates data preparation and delivery plans for requests, cohorts, consortiums, and related initiatives; and uses knowledge of MSHS data platforms and assets to support solution planning. It also analyzes data outputs and collaborates with data SMEs and stakeholders to validate results, while maintaining planning tools and improving workflows. The position is hybrid/onsite, with a preference for candidates in the tri-state area (NY, NJ, or CT) who can commute monthly as needed.

Requirements

Bachelor’s degree or a combination of education and equivalent experience.
Six or more years of related experience.
Experience in product management, analytics, data analytics, data operations, project management, or related roles.
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 work 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.
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.

Responsibilities

Build and maintain collaborative working relationships with the MSHS Digital and AI team, MSIP, MSHS Data Partnerships, DTP teams, data SMEs, and internal and external stakeholders.
Collaborate with vendors, requestors, researchers, and other stakeholders 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 clear data requirements, action plans, and delivery expectations for individual requests, cohorts, consortiums, and related initiatives.
Partner with data SMEs and DTP teams to assess data availability, identify suitable sources, and determine the work needed to prepare data for its 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 SMEs and requestors to investigate questions or discrepancies.
Facilitate prioritization and sequencing discussions and provide information about 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 tools that 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.
Coordinate cross-functional delivery of secure, high-quality data solutions and services with the Digital and AI team and data engineering, analytics, governance, and other DTP teams.
Communicate status, risks, issues, and recommendations to internal and external MSHS stakeholders.
Perform related duties as assigned or requested.