Director, Analytics Product
New
Q
Quantum HealthHealthcare analytics
May work remotely anywhere in the United States of AmericaFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 8–12+ years of experience in Product Management, with a focus on data and analytics products.
- Required Skills
- Microsoft Power BIProduct ManagementTableauData modeling
Requirements
- Have 8–12+ years of product management experience focused on data and analytics products.
- Demonstrate the ability to build and scale analytics products that drive measurable business outcomes.
- Bring deep healthcare analytics experience in payer, provider, or healthcare technology environments.
- Understand value-based care models, healthcare economics and cost drivers, and claims, clinical, and provider data.
- Have experience designing and delivering client-facing analytics products that demonstrate ROI.
- Bring data fluency in KPI design, metric standardization, data modeling concepts, and analytics workflows.
- Have experience with BI tools such as Tableau or Power BI.
- Demonstrate the ability to partner with data engineering, data science, finance, and business stakeholders.
- Preferred: experience with risk adjustment models such as HCC and actuarial methodologies.
- Preferred: background in population health or care management analytics platforms, SaaS or platform-based analytics products, or quantifying and communicating healthcare ROI.
Responsibilities
- Own and deliver the Analytics Product roadmap, including dashboards, reporting platforms, and scalable data products.
- Translate client, market, and business needs into productized analytics solutions and define product requirements across KPIs, data models, and user experience.
- Design products that communicate ROI, outcomes, and cost savings through actionable insights and decision-support tools.
- Lead development of analytics for population health management, care gap identification and closure, and provider performance and benchmarking.
- Partner with Data Engineering on data models, pipelines, and platforms, and ensure data accuracy, consistency, scalability, and governance.
- Drive adoption of standardized metrics, definitions, and data layers; collaborate with data science and engineering to operationalize advanced analytics.
- Lead and develop Analytics Product Owners, driving backlog discipline, prioritization, and execution.
- Define and track KPIs for client outcomes, product adoption, time-to-insight, and decision-making effectiveness.
- Enable self-service analytics while maintaining governance and data integrity, and improve insights and user experience.
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