人工智能产品经理/所有者
Product Manager/Owner AI
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产品负责人/产品经理 AI端到端AI产品负责人 - 业务线或平台对齐
职位概述
AI 产品负责人/产品经理负责特定业务线或理赔领域的 AI 计划的全流程管理。该职位直接与业务相关方合作，定义通过 AI 实现的理赔操作、成本控制和客户服务质量的改进，并将这些目标转化为结构化、可进入冲刺周期的执行计划。
该职位结合战略计划制定与实际的待办事项管理，并与 AI 工程师和数据科学家进行日常协作。它确保 AI 开发基于真实的运营痛点，所交付的解决方案具有实用性、合规性，并能衡量其影响。
主要职责
产品负责人/产品经理直接与理赔领导、运营经理和业务转型负责人合作，了解流程瓶颈、损失驱动因素、客户摩擦点、监管风险和客户绩效承诺。他们将这些洞察转化为明确的 AI 使用场景，并设定可衡量的运营目标，如减少理赔周期时间、提高准备金准确性、增强欺诈检测率或提高文档处理速度。
他们将计划分解为反映现实运营流程的史诗和功能，确保需求考虑到系统集成、理赔员行为、客户报告要求和合规义务。他们与 AI 工程师和数据科学家合作，验证可行性、数据可用性、模型可解释性考虑因素以及下游运营影响。
他们负责并持续优化产品待办事项，确保其根据业务价值优先排序，并与企业 AI 组合约束保持一致。他们准备包含详细验收标准的故事，反映实际理赔场景和运营现实，而非抽象概念。
查看英文原文
By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
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Fortune Best Workplaces in Financial Services & Insurance
Product Manager/Owner AIEnd-to-End AI Product Owner – Line of Business or Platform Aligned
Role Overview
The Product Manager / Product Owner – AI is responsible for end-to-end ownership of AI initiatives for a specific Line of Business or claims domain. This role partners directly with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translates those objectives into structured, sprint-ready execution plans.
This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists. It ensures that AI development is grounded in real operational pain points and that delivered solutions are practical, compliant, and measurable in impact.
Key Responsibilities
The Product Manager/Owner works directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments. They translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.
They decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations. They collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact.
They own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints. They prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements.
During sprint execution, they remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations. They validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations.
They communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines. Following deployment, they monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact.
This role requires balancing operational urgency with disciplined backlog governance, particularly in environments where client escalations or regulatory deadlines may introduce pressure for rapid change.
Qualifications
- 6–10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services
- Strong understanding of claims operations, adjuster workflows, or insurance servicing models
- Experience working in Agile delivery environments
- Ability to translate operational pain points into structured technical requirements
- Strong stakeholder communication skills across business and technical audiences
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Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Originally posted on Himalayas