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Principal Product Manager, Data
ГибридПолная занятостьУправление продуктомHealth Insurance
Own the data product roadmap, from analytics foundations and data pipelines to tools supporting retention, population health, and risk stratification. Partner with engineering, data science, analysts, and business stakeholders to prioritize work, define requirements, and drive adoption. Hybrid role,
Обязанности
- Own and prioritize a multi-quarter data product roadmap, balancing business impact, technical dependencies, and team capacity.
- Identify high-value data opportunities and define success metrics for initiatives.
- Define user problems, product requirements, technical constraints, and success criteria with engineering, data science, and analytics teams.
- Review delivered work against requirements and drive post-launch iteration.
- Define user experience requirements for analytics, risk stratification, and population health tools.
- Serve as the primary liaison between the data team and operations, customer success, clinical, finance, and growth stakeholders.
- Run discovery, communicate data constraints clearly, and drive adoption of shipped tools.
Требования
- At least 8 years of total experience, including 5 years as a product manager owning data or platform products.
- Previous experience as a data analyst or software/data engineer, including SQL, data pipelines, or analytical systems.
- Track record building data foundations and products with measurable outcomes.
- Ability to own product work end to end, from discovery and scoping through delivery and adoption.
- Ability to define usability requirements for user-facing data tools.
- Strong professional English for communication with US-based leadership.
- Ability to interpret data models, trace data flows, and assess pipeline scalability.
Будет плюсом
- Experience in healthcare, insurance, fintech, or another regulated industry.
- Familiarity with ACA markets, health plan operations, or clinical data.
- Experience with machine learning or data science teams shipping model-driven products.
- Startup or fast-scaling company experience.