<p>Sr. Consultant, Asset Owner - GF07AE</p> <p>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.</p> <p>The Claim Data Science team is highly productive team focused on providing deep insight, automation, and</p> <p>augmentation across the Claim lifecycle for Employee Benefits customers and internal business</p> <p>stakeholders. The Claim Data Science team supports a significant portfolio of assets across the Claim</p> <p>lifecycle, from intake to resolution, and everything in between. In addition to our existing portfolio of</p> <p>Predictive AI assets, the team is expanding our Generative AI capabilities, driving toward a fully integrated</p> <p>AI guided claim handling experience. This will include integrated, interactive solutions with a toolkit including</p> <p>generative AI, natural language processing, computer vision, and predictive machine learning techniques.</p> <p>We deliver value by partnering closely with enterprise enablement and other line of business data science</p> <p>teams to help build a consistent approach to architecture and practices across AI products while tailoring</p> <p>solutions to our customers' unique needs in accuracy, transparency, and scalability.</p> <p>As a Technical Product Owner, you will be expected to build relationships and partner with stakeholders to ensure</p> <p>that data science solutions are addressing business problems as intended and achieving the expected</p> <p>value. You will identify gaps and opportunities in existing processes and devise new or improved data</p> <p>science solutions to identify risks, enhance processes, and increase operational efficiency. Additionally, the</p> <p>Senior Asset Owner provides tactical support to the Data Science and Engineering teams by driving project</p> <p>execution, roadmaps, and regular updates to business partners. The ability to take detailed data science</p> <p>and engineering output and highlight key findings, results, and recommendations to our business partners is</p> <p>fundamental to project success.</p> <p>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).</p> <p>Responsibilities:</p> <ul> <li>Build strong partnerships with business customers and act as key point of contact for several Data </li></ul> <p>Science assets with internal stakeholders</p> <p>Identify opportunities to evolve or reuse existing assets or develop new assets that could add</p> <p>operational and business value</p> <ul> <li>Assist with the communication plan and marketing strategy of key capstone initiatives. Build </li></ul> <p>customer artifacts to support adoption, marketing and socialization including documentation, project</p> <p>plans, road maps and insight briefs</p> <ul> <li>Instill disciplined project timelines and support teams capacities to deliver results in a timely </li></ul> <p>manner</p> <ul> <li>Execute well-designed communication plans tailored to audiences ranging from technical peers to </li></ul> <p>business stakeholders of various levels</p> <ul> <li>Assist in development of vision and strategic planning, success criteria, CBA and value propositions </li></ul> <p>for Data Science assets</p> <ul> <li>Communicate with and influence audiences of various levels and diverse backgrounds </li></ul> <p>Qualifications:</p> <ul> <li>4+ years of experience in supporting analytic or machine learning product ownership or technical </li></ul> <p>development in insurance or related field</p> <ul> <li>Proficiency in turning a new business problem into an executable technical or analytical solution </li><li>Proficiency in impactful storytelling, communication, and relationship-building across a broad range </li></ul> <p>of technical and non-technical audiences</p> <ul> <li>Proficiency in leveraging Microsoft tools to develop compelling visuals articulating complex analytical </li></ul> <p>topics</p> <ul> <li>Proficiency in translating complex technical topics into business solutions and strategies as well as </li></ul> <p>turn business requirements into a technical solution</p> <ul> <li>Experience with leading project execution and driving change to core business processes through </li></ul> <p>the innovative use of quantitative techniques</p> <ul> <li>Exposure to Generative AI capabilities (and limitations) and use-cases, with a strong drive to keep </li></ul> <p>up with the state of the art and help our customers match AI capabilities with their business needs</p> <ul> <li>Basic understanding of statistics, the analytical project lifecycle, data science concepts, data </li></ul> <p>transformation and data warehouse concepts</p> <ul> <li>Domain knowledge in Insurance, Claims Management, and KPIs is a plus </li><li>Agile and Product Owner experience is highly desired </li></ul> <p>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.</p> <p>Compensation</p> <p>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:</p> <p>$111,200 - $166,800</p> <p>Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p> <p>About Us | Our Culture | What It's Like to Work Here | Perks & Benefits</p>