Senior Product Manager, Clinical Risk

🕒 Fevereiro 3

🗽 New York – Remoto

🗽 New York – Remote

💵 $140.000 - $160.000 / ano

⏰ Tempo Integral

🟠 Sênior

✅ Gerente de Produto

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Rightway

SiteLinkedInTodas as Vagas

201 - 500 funcionários

⚕️ Seguro de Saúde

☁️ SaaS

🤝 B2B

💰 $100.000.000 Series C em 2021-03

Healthcare Insurance • SaaS • B2B

A Rightway é uma empresa de saúde focada em oferecer soluções de navegação de cuidados e gestão de benefícios farmacêuticos. Ela se especializa em ajudar empregadores e sistemas de saúde a reduzirem custos de saúde e melhorarem os resultados através de suporte clínico personalizado, proativo, e gestão transparente de benefícios farmacêuticos. A Rightway oferece uma abordagem centrada no ser humano, proporcionando suporte em tempo real, individualizado, aos membros para ajudá-los a tomar melhores decisões de saúde e navegar pelas complexidades dos sistemas de saúde. A empresa visa reduzir os custos com saúde enquanto melhora a satisfação dos funcionários com os serviços de saúde.

Descrição

• Own the product vision and roadmap for Rightway’s Clinical Risk & Engagement product suite, balancing near-term delivery (monitoring + identification) 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 that reduce or replace manual analysis by enabling: • automated monitoring of employer populations against contractual guarantee thresholds • trend detection using contract rules and claims-based spend • clear views into “what changed” and “why we’re trending over”. • 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: • a prioritized, ranked “chase list” of members based on estimated intervention value • member context (condition, medication usage) and clinically appropriate alternatives • clear explanations that help clinical teams act confidently and consistently. • Ensure outputs are practical for real outreach operations (not just analytics), and iterate with fast feedback loops. • Partner with Data Engineering and Analytics teams to define the models and datasets that power these products, leveraging: • Rx claims, medical claims • demographics (age, sex) • member-provided information (health profile submissions). • Set standards for usability and trust: timeliness, data quality, explainability, and auditability (especially where contract rules and dollars are involved). • Explore opportunities to incorporate AI/ML where it improves model quality and prioritization without sacrificing interpretability and reliability. • 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.

🎯 Requisitos

• 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. • Experience bringing a product from 0 to 1, from the beginning of ideation through launch support. • Experience in healthcare, PBM, claims analytics, or clinical data. • Experience with financial risk products (forecasting, monitoring, guarantees, margin protection, unit economics). • Exposure to AI/ML concepts (predictive modeling, ranking, propensity, explainability) and using them responsibly in production products.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities