The Hartford
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Technical Product Owner
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The Hartford 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. A Senior Asset Owner plays an integral role in the successful design, deployment, and adoption of end-to-end analytical solutions to better serve our business partners. Asset Owners drive 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. The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. 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. 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
5+ 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 Domain knowledge in Insurance and KPIs is a plus Agile and Product Owner experience is a plus 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). Candidates must be authorized to work in the US without company sponsorship. 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
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Technical Product Owner
role at
The Hartford 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. A Senior Asset Owner plays an integral role in the successful design, deployment, and adoption of end-to-end analytical solutions to better serve our business partners. Asset Owners drive 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. The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. 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. 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
5+ 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 Domain knowledge in Insurance and KPIs is a plus Agile and Product Owner experience is a plus 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). Candidates must be authorized to work in the US without company sponsorship. 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
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