Asset Owner

m bridging the people, process, and data assets needed to successfully deliver business outcomes relating to product segmentation. Supporting the development, implementation, and change management of this critical operating routine requires a strong entrepreneurial spirit to identify opportunities for improvements and facilitate cross-functional teams to build innovative solutions. Working with and influencing cross-functional stakeholders at all levels to move forward solutions will be a core part of the role.

As an 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 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.

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:

• 2+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field

• Intermediate domain knowledge in insurance product, rating algorithms, and KPIs

• Proficiency in turning a 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

• Basic understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts

• Agile and Product Owner experience is a plus

• This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

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:
$94,000 - $141,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age