Product Manager, Progyny

• Are you energized by complex systems, empowered by data, and motivated by the opportunity to improve healthcare delivery behind the scenes?
• This role is ideal for someone who loves untangling ambiguity, documenting operational processes and data flows, and ensuring the right data underpins the development of scalable solutions
• You’ll partner across engineering, analytics, product, and operations teams to turn complex business needs into clear, actionable technical requirements
• 4–6+ years of experience in  product management for technical domains, product operations, business systems analysis, or data analysis, ideally in healthcare or another complex service environment
• Solid understanding of product development lifecycle and agile methodologies, with experience working closely with software engineers, data teams, and operations
• An Excel ninja who’s competent with SQL queries and comfortable working with data platforms (e.g., Power BI, Mixpanel)
• Demonstrated experience mapping and modeling multi-system operational workflows and identifying opportunities for process improvement. Expertise in business process modeling notation (BPMN) is highly desirable!
• Familiar with data modeling concepts (e.g., entity relationships, data normalization) and able to partner on designing or validating schemas that support business use cases
• Comfortable leading discovery and definition for technical or backend-heavy product features
• Strong documentation skills and familiarity with systems including MS Office, Confluence, Lucid, Miro/Mural, Jira, and the like
• Clear communicator who can navigate both technical detail and business context, translating between stakeholders with ease
• Resilient and passionate, aware that change is constant and able to adapt with a positive attitude

Desirable

• We are seeking a Technical Product Manager to support the discovery, definition, and delivery of data-rich product initiatives, particularly focused on case management, operational workflows, and service delivery within the health benefits space
• This is a hybrid role that merges product management responsibilities with a major focus on data analysis and modeling during the discovery and design phases of digital product development
• Partner with Sr. Product Managers and business stakeholders to translate operational and case management needs into clear product requirements and user stories
• Lead discovery and definitional efforts for data-centric features: clarify scope, reconcile data sources, address operational dependencies, and drive feature alignment across business and development teams
• Conduct detailed reviews and reconciliation of customer-related data sets to ensure accuracy, completeness, and trust in critical operational and product data
• Map data-intensive operational workflows to identify where and how data flows across systems, teams, and touchpoints, including those bridging into third-party systems as we expand our technology platform’s interoperability
• Facilitate technical scoping conversations with Engineering and Data stakeholders, helping evaluate feasibility, sequencing, and trade-offs
• Assist in developing or enhancing data models that support key product and operational workflows, ensuring data availability aligns with business needs
• Develop and maintain documentation including feature specs, business models and rules, data flow diagrams, workflows, and system integrations
• Drive data-centric features & initiatives, owning requirements, supporting sprint planning, and helping provide quality oversight
• Support incident reviews and post-mortems where data gaps, system issues, or workflow errors have occurred
• Contribute to roadmap planning and continuous improvement initiatives by identifying pain points, prioritizing solutions, and articulating value
• Analyze and reconcile member- and service-related data sets to ensure quality, completeness, and usability
• Partner with data engineering and analytics teams to understand healthcare data requirements, validate instrumentation, and support development of data models that reflect business logic
• Contribute to the design and maintenance of dashboards and reporting that help track product experience KPIs, and performance across internal service operations at the intersection of the member experience
• Perform root cause analysis when data discrepancies or system failures impact the product or member experience
• Recommend data structure or process changes that improve data accuracy, interoperability, and visibility across the organization