汽车产品策略顾问
Consultant, Auto Product Strategy
Description
在Liberty，我们的个人汽车保险产品团队与公司内部各团队合作，打造并推出符合客户和代理人需求的汽车保险解决方案。我们专注于汽车保险领域，凭借深入的专业知识、数据和分析能力，实现各州的良好成果，同时现代化定价政策及支持它们的技术。我们围绕四个核心领域——交付与开发、承保有效性、州管理以及移动解决方案——协作工作，践行我们的使命：帮助人们拥抱当下，自信追求未来。
产品交付监控团队正在寻找一名顾问，以推动下一代个人汽车保险监控能力的发展。这个高度可见的个人贡献者角色将与公司内部各团队合作，加强我们对汽车定价计划的监控，发现新出现的问题，提高数据准确性，并在更广泛的汽车产品组合中推广可持续的监控实践。
此职位将重点构建战略监控能力，以降低程序性风险，提高早期问题检测能力，并为未来的增长建立可扩展的基础。此外，该人员还将支持核心汽车计划监控职责，重点关注最近推出的定价计划的计划级监控和分析。
理想的候选人具备高度的分析能力和技术能力，能够独立工作，适应不确定性，并能有效地与技术和业务团队进行跨职能合作。
职责
• 推动持续监控和异常检测能力的开发与扩展，以降低汽车产品组合中的程序性风险。
• 提高评级计划、关键业务指标和汽车计划结果的数据准确性和早期问题检测能力。
• 构建可扩展的监控流程、工具、仪表盘和分析框架，以支持未来状态的产品组合监控和计划级分析。
• 通过自动化、改进报告和跨职能协作减少手动工作量和响应时间。
• 通过分析关键指标、识别新兴趋势并评估结果是否如预期运行，支持个人汽车定价计划的计划级监控。
• 查询、操作和分析大型数据集，以调查异常、识别根本原因并传达行动建议
查看英文原文
Description
At Liberty, our Personal Lines Auto Product team partners across the company to build and roll out auto insurance solutions that keep pace with what customers and agents need. We focus exclusively on auto, bringing deep expertise, data and analytics to deliver strong state-by-state results while modernizing how we price policies and the technology that supports them. Organized around four core areas—Delivery & Development, Underwriting Effectiveness, State Management, and Mobility Solutions—we work collaboratively to live our purpose: helping people embrace today and confidently pursue tomorrow.
The Product Delivery Monitoring Team is looking for a Consultant to help advance the next generation of Personal Lines Auto monitoring capabilities. This highly visible individual contributor role will partner across the organization to strengthen how we monitor Auto pricing programs, detect emerging issues, improve data accuracy, and scale sustainable monitoring practices across the broader Auto portfolio.
This role will focus heavily on building strategic monitoring capabilities that reduce programmatic risk, improve early issue detection, and create a scalable foundation for future growth. In addition, this individual will support core Auto Program Monitoring responsibilities, with a focus on program-level monitoring and analysis of recently launched pricing programs.
The ideal candidate is highly analytical and technically capable, comfortable working independently, able to navigate ambiguity, and effective at partnering cross-functionally with both technical and business audiences.
Responsibilities
• Drive the development and scaling of continuous monitoring and anomaly detection capabilities to reduce programmatic risk across the Auto portfolio.
• Improve data accuracy and early issue detection across rating programs, key business metrics, and Auto program results.
• Build scalable monitoring processes, tools, dashboards, and analytical frameworks that support future-state portfolio monitoring and program-level analysis.
• Reduce manual effort and response time through automation, improved reporting, and cross-functional coordination.
• Support program-level monitoring for Personal Lines Auto pricing programs by analyzing key metrics, identifying emerging trends, and assessing whether results are performing as expected.
• Query, manipulate, and analyze large datasets to investigate anomalies, identify root causes, and communicate actionable insights to technical and non-technical audiences.
• Partner with teams across USDS, the Data Office, IT, Risk Analytics, Underwriting, State Management, and other business areas to identify issues, coordinate solutions, and improve monitoring effectiveness.
• Provide timely updates and recommendations to stakeholders on monitoring results, data quality, program performance, and emerging risks.
Ideal candidate will have :
• Strong analytical, problem-solving, and decision-making skills, with the ability to identify patterns, investigate root causes, and develop practical recommendations.
• Proficient in SQL, Power BI, Excel, PowerPoint, and Snowflake. Experience with Python and GitHub preferred.
• Experience building dashboards, reporting tools, analytical frameworks, and repeatable processes.
• Ability to communicate complex analytical findings clearly and effectively to technical and non-technical audiences.
• Strong planning, organizational, analytical, decision-making, and communication skills
• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation preferred.
Preferred Qualifications
• Experience with Python and GitHub preferred.
• Prior experience in Personal Lines, auto insurance, pricing, product, or broader insurance analytics.
• Experience with anomaly detection, continuous monitoring, data quality monitoring, automation, or early issue detection.
• Experience partnering with data, technology, underwriting, risk analytics, state management, or product teams.
• Familiarity with insurance rating programs, pricing implementations, or post-launch program evaluation.
This role has a hybrid work schedule (2 days onsite) for candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Otherwise, this role is remote
Qualifications
· Bachelor's degree in business, information management, economics, or other quantitative field. Master’s degree preferred.
- Minimum 4 years, typically 6 years or more of relevant work experience.
- Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills.
- Highly developed communication and presentation skills.
- In-depth knowledge of data concepts, strategies, and methodologies.
- In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives.
- Highly developed negotiation, facilitation and consensus building skills.
About UsPay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
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Originally posted on Himalayas