Sr Product Owner, Claims Data Science – Hybrid Position Available In Capitol Planning Region, Connecticut

Sr Product Owner, Claims Data Science•Hybrid remote type
Hybrid
locations
Hartford, CT
Chicago, IL
Columbus, OH
Charlotte, NC
time type
Full time
posted on
Posted 5 Days Ago
job requisition id

R2521248

Sr. Consultant, Asset Owner•GF07AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working means having every opportunity to achieve your goals•and to help others accomplish theirs, too. Join our team as we help shape the future. Are you ready to lead The Hartford to a digital-first, AI-powered claims workflow? Then this role is perfect for you! A Senior Product Owner plays an integral role in the successful design, deployment, and adoption of end-to-end AI solutions to better serve our business partners, driving adoption of the Data Science portfolio through the execution of the marketing and communication approach that includes drafting presentations for leadership, performing business impact analysis, and crafting the story associated with the analytical results throughout the assets’ lifecycle. Additionally, a new role can expand your knowledge and your network, and help you learn more about our business. If you think this opportunity is a fit for your career you should apply. If you are not sure you can have a conversation with your manager. The Claims Data Science teams deliver AI solutions to solve claims business problems and enhance the claims handling process for Core Claims and Claims Solutions, specifically reporting Workers Compensation and/or Employee Benefits. As a Senior Product 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 Product 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).

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

Qualifications:

3+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field recommended
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
Basic understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts Domain knowledge in Insurance and KPIs is a plus Agile and Product Owner experience is a plus Candidate must be authorized to work in the US without company sponsorship. The company will not support the

STEM OPT I-983

Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $109,520•$164,280