Asset Owner

The Hartford • Hartford, CT

6d • Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Claim Data Science team is highly productive team focused on providing deep insight, automation, and augmentation across the Claim lifecycle for Employee Benefits customers and internal business stakeholders. The Claim Data Science team supports a significant portfolio of assets across the Claim lifecycle, from intake to resolution, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is expanding our Generative AI capabilities, driving toward a fully integrated AI guided claim handling experience. This will include integrated, interactive solutions with a toolkit including generative AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability. As a Senior Asset Owner, you will be expected to build relationships and partner with stakeholders to ensure that data science solutions are addressing business problems as intended and achieving the expected value. You will identify gaps and opportunities in existing processes and devise new or improved data science solutions to identify risks, enhance processes, and increase operational efficiency. Additionally, the Senior Asset Owner provides tactical support to the Data Science and Engineering teams by driving project execution, roadmaps, and regular updates to business partners. The ability to take detailed data science and engineering output and highlight key findings, results, and recommendations to our business partners is fundamental to project success. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Requirements

• 4+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field recommend
• Proficiency in turning a new business problem into an executable technical or analytical solution
• Proficiency in impactful storytelling, communication, and relationship-building across a broad range of technical and non-technical audiences
• Proficiency in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
• Proficiency in translating complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
• Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
• Exposure to Generative AI capabilities (and limitations) and use-cases, with a strong drive to keep up with the state of the art and help our customers match AI capabilities with their business needs
• Basic understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts

Nice To Haves

• Domain knowledge in Insurance, Claims Management, and KPIs is a plus
• Agile and Product Owner experience is a plus

Responsibilities

• Build strong partnerships with business customers and act as key point of contact for several Data Science assets with internal stakeholders Identify opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
• Assist with the communication plan and marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, road maps and insight briefs
• Instill disciplined project timelines and support teams capacities to deliver results in a timely manner
• Execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
• Assist in development of vision and strategic planning, success criteria, CBA and value propositions for Data Science assets
• Communicate with and influence audiences of various levels and diverse backgrounds

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed