One of Chubb’s most advanced AI analytics products is looking for an Analytics Product Owner to help build, design, and deploy the capability to multiple insurance products across the globe. This role will work closely with executive stakeholders and analytics leadership to change the future of digital underwriting. We are looking for a highly motivated, experienced insurance data science professional to help shape the future of analytics at our company.    

Job Description

Create analytics solutions to drive efficiency throughout the digital underwriting process for multiple business units and insurance products Align with senior executives to scope, manage, and deliver scalable AI assets  Lead model reviews with senior stake holders, clearly articulating complex models to business leadership teams Manage delivery of cross functional teams consisting of data scientists, data engineers, machine learning engineers, and software engineers  Create integration roadmaps and identify dependencies in various IT deployment systems  Stay current with product specific trends throughout the industry. Stay up to date in the area of data and analytics through various avenues and explore new ideas through relevant forums internally and externally Act as a subject matter expert and provide guidance to the project team throughout the project lifespan.  This includes (but not limited to) Knowing which sources of data to explore Identifying and communicating the key trends, data limitations and business stakeholders to the project team Scoping the business problem out so that the project team can determine the best model/analysis/solution Assess reasonability of the data and/or model prior to sharing with the key business stakeholders Speak on behalf of the analytics team at any respective training sessions or team meetings organized by the business  Collaborate with other Product Owners and Portfolio Managers to ensure any related projects/dependencies are identified and met Create presentations to business and c-suite executives to showcase product capabilities and project status Masters Degree in a quantitative field or credited actuary (FCAS/ACAS) 6-8 years’ professional experience in advanced analytics at a P&C insurance company Mastery of machine learning algorithms and advanced modeling techniques Understanding of object-oriented programming (preferably python based) and an ability to manage technical resources 2+ years experience leading loss cost model projects for a P&C business unit  Thought leader in how to use data and analytics to address business requirements, current and future looking Ability to think strategically, execute tactically, and take initiatives, with an attention to detail mindset Ability to effectively understand data, analyze results, draw insights and conclusions, and recommend appropriate actions in an atmosphere of fact-based decision-making Advanced knowledge of insurance, including policy, coverage, claims, and regulation Advanced problem-solving skills to continuously improve business outcomes Advanced conflict management and problem resolution skills in managing relationships with stakeholders, internal and external teams Experience in Agile development processes and project management a plus

Travel: 25%