出海雷达

医疗经济学工具经理

Manager, Medical Economics Tooling

其他全球可投
公司Oscar Health
薪资未公开
工作地点Remote
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间23 天前
数据来源Greenhouse
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

你好,我们是 Oscar。我们正在招聘一名医学经济工具经理,加入我们的精算团队。

Oscar 是一家以完整技术平台为基础的健康保险公司,并始终专注于为会员提供服务。我们于2012年创立 Oscar,旨在打造一家我们自己希望拥有的健康保险公司——一家像家庭医生一样的公司。

关于该职位:

医学经济经理是一个亲力亲为的技术领导者,主要职责是设计仪表盘、商业智能解决方案和其他分析产品。该职位将医学经济和精算需求转化为可信赖的指标逻辑、整理好的数据集、可视化展示、定期分析和自动化流程,使医疗成本、使用情况、会员数量、风险和财务表现更加透明且可操作。

技术栈可能会变化,但需要具备扎实的开发能力。你将使用选定的 BI 和数据开发工具,根据需要使用 SQL、Python 或类似代码;与相关方合作定义需求;将批准的方法论转化为可靠解决方案;并负责复杂产品的发布、维护和改进。在 L5级别,该职位还需参与技术标准制定、设计和代码审查、文档编写以及指导工作。你仍需亲自参与开发,不要求直接管理团队。

你将向医学经济部门的高级总监汇报工作。

工作地点:该职位为全远程办公,面向居住在美国的候选人(不包括阿拉斯加、特拉华州、夏威夷州、路易斯安那州、蒙大拿州、北达科他州、俄克拉荷马州、西弗吉尼亚州、怀俄明州以及美国属地)。日常办公在你的家庭办公室完成,偶尔需要出差参加团队会议和公司活动。#LI-Remote

薪资透明:在加利福尼亚州、康涅狄格州、新泽西州、纽约州和华盛顿州,该职位的基本薪资为:每年135,792至178,227美元。在其他所有地区,该职位的基本薪资为:每年122,213至160,404美元。你还符合员工福利资格,可参与 Oscar 的无限休假计划和年度绩效奖金。

职责:

  • 从零开始设计和构建仪表盘、商业智能解决方案、可重用的指标逻辑、整理好的数据集、定期分析和自动化流程。使用选定的 BI 和数据开发工具,包括 SQL、Python 或类似代码来构建这些解决方案。
查看英文原文

Hi, we're Oscar. We're hiring a Manager, Medical Economics Tooling to join our Actuarial team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Manager, Medical Economics is a hands-on technical leader whose primary responsibility is to design dashboards, business-intelligence solutions, and other analytical products. The role turns Medical Economics and actuarial needs into trusted metric logic, curated datasets, visualizations, recurring analyses, and automation that make medical cost, utilization, membership, risk, and financial performance transparent and actionable.

The technology stack may evolve, but strong hands-on development capability is required. You will use the selected BI and data-development tools, with SQL, Python, or comparable code as appropriate; partners with stakeholders to define requirements; translates approved methodologies into reliable solutions; and owns complex products through launch, maintenance, and improvement. At the L5 level, the role also contributes technical standards, design and code review, documentation, and mentorship. You will remain hands-on and does not require direct people management.

You will report to a Senior Director in the Medical Economics department.

Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote

Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $135,792 - $178,227 per year. The base pay for this role in all other locations is: $122,213 - $160,404 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

  • Design and build dashboards, business-intelligence solutions, reusable metric logic, curated datasets, recurring analyses, and automation from the ground up. Use the selected BI and data-development tools, including SQL, Python, or comparable code, to build these solutions. The goal is to make medical cost, utilization, membership, risk, and financial performance transparent and actionable.
  • Translate stakeholder requirements into clear technical designs. Also, translate approved actuarial and health-insurance methodologies into maintainable analytical solutions. In both cases, preserve approved definitions, denominators, completion approaches, risk-adjustment conventions, and financial tie-outs.
  • We own complex solutions through the full development lifecycle, including requirements, prototyping, development, testing, user acceptance, deployment, monitoring, maintenance, and enhancement. We make technical decisions that balance speed, usability, reuse, reliability, and maintainability.
  • Partner with Medical Economics, Actuarial, Finance, Data, BI, operational, and business stakeholders. This partnership helps to understand the decisions each solution must support, define its audience and success measures, prioritize requirements, manage dependencies, and resolve tradeoffs.
  • Apply practical development and product standards. Strengthen these standards, including validation, code review, and documentation. Additionally, ensure data freshness, cross-product and financial tie-outs, and implement release controls and change management. Finally, develop plans to replace or retire legacy assets. Identify appropriate opportunities for reusable AI-enabled workflows so solutions remain reliable and supportable.
  • Provide technical leadership by reviewing designs and code, guiding matrixed contributors, and mentoring colleagues in development, data analysis, visualization, testing, and governed delivery practices. Communicate completed solutions and resulting insights through recurring operational and executive readouts. Represent Medical Economics in cross-functional forums. Escalate material roadmap conflicts, dependencies, and decisions requiring leadership alignment.
  • Compliance with all applicable laws and regulations.
  • Other duties as assigned.

Requirements:

  • Bachelor's degree in a quantitative or technical field.
  • 5+ years of quantitative analysis, business intelligence, actuarial, Medical Economics, healthcare data, or related experience; and/or significant experience in health insurance or another payer environment.
  • Strong knowledge of medical claims and healthcare coding, including CPT/HCPCS, ICD-10, and DRGs, as well as pharmacy, authorization, membership, premium, risk adjustment, completion, or financial-performance data.
  • Advanced hands-on proficiency with SQL and at least one general-purpose programming language, such as Python, for data transformation, automation, validation, analysis, and production tooling.

Bonus points:

  • Demonstrated advanced experience with quantitative problem-solving, coding, technical design, and learning complex healthcare or financial concepts, evidenced through professional work, coursework, certifications, or comparable projects.
  • Own and lead complex decision-support solutions from requirements through launch and maintenance, including coordinating work across technical, quantitative, and partners.
  • Demonstrated experience designing, building from the ground up, deploying, and operating dashboards, recurring analyses, data products, or shared metric content used by business stakeholders.
  • Experience applying software-development practices—including version control, modular and reusable code, code review, automated testing, release controls, and technical documentation—to production analytical products and recurring quantitative workflows.
  • Experience translating ambiguous business needs and quantitative methodologies into technical designs, data models, component boundaries, priorities, and delivery plans.
  • Experience leading work across multiple teams or matrixed contributors and communicating with technical, quantitative, and business audiences.
  • Strong product judgment and process-management skills, with experience streamlining workflows and driving operational efficiency.
  • Hands-on proficiency with a modern BI or visualization platform such as Looker, Tableau, Power BI, or a comparable tool.
  • Experience with data-transformation frameworks, workflow orchestration, CI/CD or release automation, and performance or reliability optimization.
  • Experience designing governed metric definitions, shared dimensions and measures, monitoring, or other shared quantitative infrastructure.
  • Experience using AI-assisted or large-language-model tools for software development, data analysis, or insight generation, with appropriate validation, documentation, and governance.
  • Associate or Fellow of the Society of Actuaries, or progress toward an SOA credential.

This is an authentic Oscar Health job opportunity.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.

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