Hartford, CT, 06132, USA
1 day ago
Sr Asset Owner - Personal Insurance Data Science
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 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 Senior Asset Owner plays a pivotal role in the design, deployment, and adoption of end-to-end analytical solutions that support strategic initiatives in Product Management. This role is embedded within the Personal Insurance Home and Auto Class Plan modeling team, where the focus is on delivering business outcomes related to product segmentation by aligning people, processes, and data assets. Key Responsibilities: Driving Adoption & Communication + Lead the execution of marketing and communication strategies to promote the Data Science portfolio. + Craft compelling narratives around analytical results, including business impact analyses and leadership presentations. + Translate complex data science and engineering outputs into clear, actionable insights for business partners. Stakeholder Engagement & Influence + Build strong partnerships with cross-functional stakeholders at all levels to ensure alignment and drive solution adoption. + Act as a liaison between technical teams and business units, ensuring solutions address real business problems and deliver expected value. Project Execution & Tactical Support + Provide hands-on support to Data Science and Engineering teams by managing project roadmaps, execution timelines, and stakeholder updates. + Identify gaps and opportunities in current processes and champion innovative, data-driven solutions to enhance efficiency and mitigate risk. Change Management & Continuous Improvement + Support the development and implementation of critical operating routines and agile practices. + Bring an entrepreneurial mindset to identify improvement opportunities and facilitate cross-functional collaboration to build and scale solutions. 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). Qualifications: + 5+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field + Advanced domain knowledge in insurance product, rating algorithms, and KPIs + Skilled at translating complex technical topics into business strategies and converting business needs into technical solutions + Proficiency in impactful storytelling, communication, and relationship-building across a broad range of technical and non-technical audiences + Understands the integration of analytic and data science solutions into business strategy + Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques + Intermediate understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts (Familiarity with insurance loss models is a plus) + Ability to quickly gain business-side domain knowledge, including understanding of general process and key initiatives + 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 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (https://www.thehartford.com/about-us) | Our Culture (https://www.thehartford.com/about-us/corporate-culture) | What It’s Like to Work Here (https://www.thehartford.com/careers/our-employees) | Perks & Benefits (https://www.thehartford.com/careers/benefits) Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day. About Us (https://www.thehartford.com/about-us) Our Culture What It’s Like to Work Here (https://www.thehartford.com/careers/our-employees) Perks & Benefits (https://www.thehartford.com/careers/benefits) Legal Notice (https://www.thehartford.com/legal-notice) Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation) EEO Privacy Policy (https://www.thehartford.com/online-privacy-policy) California Privacy Policy Your California Privacy Choices (https://www.thehartford.com/data-privacy-opt-out-form) International Privacy Policy Canadian Privacy Policy (https://www.thehartford.com/canadian-privacy-policy) Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (https://www.thehartford.com/ma-lie-detector)
Por favor confirme su dirección de correo electrónico: Send Email