Data Product Manager - Healthcare

4 days ago

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Logo of Risant Health

Risant Health

Risant Health is a nonprofit organization created by Kaiser Foundation Hospitals that is dedicated to improving health outcomes and increasing access to affordable care across communities in the United States. By focusing on value-based care, Risant Health enhances the capabilities of health systems to deliver equitable, high-quality patient outcomes. Their mission is to shift the healthcare delivery model from one that primarily treats illness to one that supports overall health and wellness for millions of Americans.

#ValueBasedCare

📋 Description

• Contribute to development of vision, strategy and roadmap for I&A discipline. • Help define and evolve the strategy for internal data tools, services and infrastructure used by product teams. • Engage deeply with product, clinical and engineering teams to understand how they use and want to use healthcare data. • Translate user needs into clear data product requirements. • Manage the backlog for data products, ensuring features are prioritized based on business impact. • Develop metrics, datasets, APIs, reports, self-serve tools to accelerate product development and experimentation. • Drive adoption by making data tools intuitive, reliable and integrated into VBP operating model. • Partner with stakeholders to define shared metrics, dashboards, data standards and reporting processes. • Monitor KPIs to optimize product performance and provide actionable insights to internal and external stakeholders. • Support continuous improvement through feedback loops and data translation into business insights. • Maintain relationships with key stakeholders (e.g., product, clinical, design, informatics, engineering, compliance) and align on plans. • Use repeatable approaches to identify and escalate risks to stakeholders in product development and market adoption.

🎯 Requirements

• (7) years of experience as a Data Product Manager or in a similar role in product development. • Demonstrated expertise in analyzing large data sets and using data platforms / tools for analysis and reporting (e.g., Power BI, Tableau, Python, SQL). • Expertise in application of statistical and machine learning models to solve targeted business problems in a payer or provider environment. • Demonstrated expertise in healthcare data sources, structures, standards and compliance and privacy considerations. • Bachelor’s degree in Computer Science, Business, Economics, Data Science, Engineering, Statistics, Finance, or a related quantitative field — or 4+ additional years of directly relevant experience in lieu of a degree. • Proven ability to build and ship data / analytic products used in population health, patient engagement, clinical decision support, or value-based care. • Excellent collaboration and communication skills to work cross-functionally. • Strong understanding of how data products feed AI models – including data readiness, labeling, provenance / lineage, versioning, integration, monitoring. • Understanding of actuarial approaches to quantify risk and financial implications of decisions. • Experience in the healthcare multi-payer / multi-provider environment. • Familiarity with the product development lifecycle (phases, activities, tools)

🏖️ Benefits

• incentive compensation • comprehensive benefits package • wellness programs • retirement savings • relocation support as applicable

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