
1001 - 5000 employees
🏥 Healthcare
⚕️ Healthcare Insurance
💸 Finance
Healthcare • Healthcare Insurance • Finance
NeueHealth is a healthcare company focused on providing accessible, affordable, and high-quality care to all health consumers. Formerly known as Bright Health, it operates through two primary segments: NeueCare, which delivers comprehensive healthcare services via owned and affiliated clinics, and NeueSolutions, which supports independent providers in performance-based care arrangements. With a strong emphasis on understanding patient needs, NeueHealth aims to align the interests of health consumers, providers, and payors to enhance healthcare experiences and outcomes.
🔥 0 minutes ago
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1001 - 5000 employees
🏥 Healthcare
⚕️ Healthcare Insurance
💸 Finance
Healthcare • Healthcare Insurance • Finance
NeueHealth is a healthcare company focused on providing accessible, affordable, and high-quality care to all health consumers. Formerly known as Bright Health, it operates through two primary segments: NeueCare, which delivers comprehensive healthcare services via owned and affiliated clinics, and NeueSolutions, which supports independent providers in performance-based care arrangements. With a strong emphasis on understanding patient needs, NeueHealth aims to align the interests of health consumers, providers, and payors to enhance healthcare experiences and outcomes.
• Identify and shape AI product opportunities through stakeholder discovery, workflow analysis, value sizing, feasibility assessment, and risk identification • Own one-pagers, PRDs, user stories, acceptance criteria, launch criteria, and KPIs for AI solutions • Partner with the Head of AI to prioritize work based on business value, user impact, strategic fit, feasibility, risk, compliance, and capacity • Maintain and communicate the roadmap or backlog for assigned AI features, workflows, products, or product areas • Make timely product decisions during implementation, including scope, requirements, tradeoffs, and outcome alignment • Verify completed solutions against product requirements, acceptance criteria, user needs, and success measures • Support UAT, workflow validation, pilot planning, launch readiness, and post-launch feedback collection • Drive adoption through stakeholder communication, rollout planning, training, user guidance, change management, and support workflows • Own post-launch KPI monitoring, user feedback analysis, bug/enhancement intake, and continuous improvement recommendations • Partner with Engineering, Compliance, Security, Legal, Clinical, and Operations to ensure AI solutions are responsible, secure, compliant, auditable, and trustworthy • Maintain product documentation, including requirements, roadmap materials, decision logs, launch plans, KPI definitions, stakeholder updates, and performance summaries • Report to the Head of AI Product & Engineering and collaborate with the Director of AI Engineering and cross-functional stakeholders • Perform other duties and responsibilities as assigned
• Strong familiarity with modern AI/ML or LLM concepts • Bachelor’s degree in Business, Computer Science, or Data Science; equivalent practical experience may be considered • 4+ years of product management experience across the full development lifecycle including ownership responsibility • Demonstrated ability to translate ambiguous business problems into clear product requirements, priorities, success metrics, and execution plans • Strong stakeholder management skills across business, technology, operations, clinical, compliance, and executive stakeholders • Strong data and analytical skills, including defining KPIs, interpreting data, evaluating product performance, and making evidence-based prioritization decisions • Comfortable partnering with engineering and security teams on feasibility, architecture tradeoffs, data dependencies, integration needs, implementation sequencing, testing, and launch readiness • Strong written and verbal communication skills, including creating product documents, executive summaries, roadmap materials, user guidance, and launch communications • Comfortable operating in a fast-paced, evolving agile environment with ambiguity, competing priorities, rapid learning, and a bias toward action • Hands-on experience building with AI preferred • Experience deploying solutions with embedded AI capabilities, human-in-the-loop requirements, escalation paths, review workflows, exception handling, and operational controls preferred • Experience working in healthcare preferred • Strong data fluency preferred • Code literate preferred • Databricks experience is a plus
• Work-from-home position • Equal opportunity employment
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