Senior Product Manager, Clinical Risk
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RightwayHealthcare
New York, NY, EST, CSTFull-TimeSenior
Salary140000 - 160000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- SQLData engineering
Requirements
- 3+ years of product management experience delivering complex, cross-functional products.
- Strong comfort working with data-heavy systems (dashboards, internal tools, analytics products, forecasting/monitoring).
- Proven ability to turn ambiguous workflows into shipped software that changes how teams operate.
- Experience partnering closely with engineering, data engineering, and analysts to define models, instrumentation, and reliable reporting.
- Ability to communicate clearly with technical and non-technical stakeholders and align them around measurable outcomes.
Responsibilities
- Own the product vision and roadmap for Rightway’s Clinical Risk & Engagement product suite, balancing near-term delivery with a longer-term path to proactive and automated engagement.
- Define the end-to-end ’risk to action’ workflow across teams: forecast → detect risk → explain drivers → prioritize opportunities → enable outreach → measure impact.
- Build tools for automated monitoring of employer populations against contractual guarantee thresholds and trend detection.
- Create dashboard-style experiences to identify and understand the members driving spend, enabling rapid drill-down from customer → cohort → member.
- Partner with clinical teams to develop a high-signal workflow that supports outreach and behavior change, including prioritized ’chase lists’ and member context.
- Partner with Data Engineering and Analytics teams to define the models and datasets that power these products, leveraging Rx claims, medical claims, demographics, and member-provided information.
- Set standards for usability and trust: timeliness, data quality, explainability, and auditability.
- Translate business needs into detailed requirements, user stories, acceptance criteria, and success metrics.
- Lead discovery with financial risk and clinical partners; align stakeholders around scope, sequencing, and tradeoffs.
- Manage a prioritized backlog across application engineering and data teams; ship iteratively and improve based on adoption and outcomes.
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