高级产品经理 - 医疗AI
Sr Product Manager - Healthcare AI
麦肯锡是一家以影响力驱动的财富10强公司,几乎触及医疗保健的每个方面。我们以提供见解、产品和服务而闻名,使优质护理更加可及和负担得起。在这里,我们关注您和您服务的人的健康、幸福和福祉——我们关心每一个人。
在麦肯锡,你的工作至关重要。我们营造一种文化,让你能够成长、产生影响,并被赋予权力去带来新想法。我们一起茁壮成长,塑造患者、我们的社区和员工的未来健康。如果你希望成为明天健康的一部分,我们想听到你的声音。
CoverMyMeds 的共享能力与合作伙伴关系产品团队正在寻找一位高级产品经理来领导我们的下一步最佳行动(NBA)计划——一位真正对数据、人工智能和机器学习充满热情的人,知道如何将这种好奇心转化为推荐和决策能力,从而在整个护理旅程中推动实际成果。该职位需要将模糊且数据丰富的难题转化为清晰的产品战略,并建立信任以在大型矩阵组织中协调各利益相关方。
职位简介
高级产品经理将全程负责下一步最佳行动计划:定义我们所服务的用户和工作流程中“最佳”的含义,与数据科学和数据工程合作构建实现这一目标的决策能力,并通过实验持续改进。你将在产品战略和应用人工智能/机器学习的交叉点上工作——不是自己编写模型,而是定义问题、优先考虑信号,并在测量和负责任使用方面保持高标准。
你将负责
· 为下一步最佳行动制定产品战略,基于数据、探索和研究做出决策
· 确定推荐/决策引擎应优先考虑的信号、用例和工作流程,并将业务和客户目标转化为模型和产品体验的路线图
· 与数据科学和机器学习工程紧密合作,塑造问题定义、成功标准和权衡——在模型开发中引入产品判断,但不负责建模本身
· 负责推荐的实验和测量策略:定义“良好”的标准,设计 A/B 测试,并建立反馈循环以持续提升推荐质量
· 与数据工程合作,构建数据基础——质量、访问和
查看英文原文
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
CoverMyMeds’ Shared Capabilities and Partnerships product team is looking for a Senior Product Manager to lead our Next Best Action (NBA) initiative — someone who is genuinely energized by data, AI, and machine learning, and who knows how to turn that curiosity into a recommendation and decisioning capability that drives real outcomes across the care journey. This role requires the ability to translate ambiguous, data-rich problems into a clear product strategy, and to build the trust needed to align stakeholders across a large, matrixed organization.
About the Role
The Senior Product Manager will own the Next Best Action initiative end to end: defining what “best” means for the users and workflows we serve, partnering with Data Science and Data Engineering to build the decisioning capability that gets there, and continuously improving it through experimentation. You’ll operate at the intersection of product strategy and applied AI/ML — not writing the models yourself, but framing the problems, prioritizing the signals, and holding the bar on measurement and responsible use.
What You’ll Do
- Drive product strategy for Next Best Action, grounding decisions in data, discovery, and research
- Define which signals, use cases, and workflows the recommendation/decisioning engine should prioritize, and translate business and customer goals into a roadmap for the model and product experience
- Partner closely with Data Science and ML Engineering to shape problem framing, success criteria, and trade-offs — bringing product judgment to model development without owning the modeling itself
- Own the experimentation and measurement strategy for recommendations: define what “good” looks like, design A/B tests, and build feedback loops that continuously improve recommendation quality
- Partner with Data Engineering on the data foundations — quality, access, and integration — that the recommendation engine depends on
- Champion responsible AI practices, ensuring recommendations are fair, explainable, and compliant with healthcare regulatory and privacy requirements, in partnership with Legal, Privacy and Compliance
- Navigate complexity across a large, matrixed organization — aligning stakeholders, clarifying tradeoffs, and building the trust needed to move work forward
- Influence and align cross-functional partners across Engineering, Data Science, UX, Commercial, and Operations to gain buy-in on product direction and priorities
- Own and communicate roadmap priorities to leadership, ensuring transparency on progress, tradeoffs, and decisions at every phase
- Apply design thinking methodologies to solve complex problems, iterate on solutions, and drive MVP delivery and customer co-innovation opportunities
Skills You’ll Need
- Degree or equivalent experience. Typically requires 7+ years of relevant experience
- Healthcare Product Management experience or familiarity with technical product development methodologies (e.g., Agile)
- Demonstrated fluency in data, AI, and machine learning concepts — enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics in a Healthcare setting
- Experience defining and using experimentation (A/B testing) and quantitative measurement to guide product decisions
- Experience working in cross-functional product teams spanning Engineering, Data Science, UX, Operations, and Commercial partners
- Technical competency with direct experience in data and analytics, data science, or AI/ML, enough to partner credibly with Data Science and ML Engineering on problem framing, model trade-offs, and evaluation metrics
- Healthcare experience, preferably Biopharma and/or Payer expertise
Preferred Skills
- Prior experience building or launching a recommendation engine, decisioning system, or personalization capability
- Familiarity with responsible AI principles (fairness, explainability, bias mitigation) and how they apply in a regulated healthcare context
- Experience with healthcare technology, patient support programs, enrollment workflows, or HCP-facing products
- Strong understanding of product-market dynamics, customer needs, and competitive landscapes
- Financial acumen, including experience connecting product decisions to P&L outcomes and business goals
- Proven stakeholder engagement and influence skills in matrixed environments
- Ability to prioritize effectively across competing initiatives and drive alignment toward execution
- Comfort operating in ambiguity with a bias toward action and continuous improvement
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$119,300 - $198,800McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: .
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted.
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Originally posted on Himalayas