Director & Asset Owner, Employee Benefits Data Science & AI

Dir Data Science - GD06AE

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 Director and 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. You will drive adoption of the EB Data Science, AI, and Analytics portfolio through the execution of the marketing and communication approach that includes drafting presentations for senior leadership, performing business impact analysis, and crafting the story associated with the analytical results throughout our 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. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.

As a Director and Asset Owner, you will be expected to build relationships and partner with stakeholders to ensure that Data Science, AI, and Analytics 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, you will collaborate with your team and stakeholders on the creation of a long-term vision for your team's portfolio and collaborate closely with your business partners to ensure alignment of goals.

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, NYC) 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
• Develop 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
• Develop a vision and strategic planning, success criteria, CBA and value propositions for Data Science assets
• Communicate with and influence audiences of various levels and diverse background

• 8+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field recommended
• Expertise in turning a new business problem into an executable technical or analytical solution
• Expertise in impactful storytelling, communication, and relationship-building across a broad range of technical and non-technical audiences
• Expertise in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
• Expertise 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 Employee Benefits and/or Life Insurance and KPIs is a plus
• Experience in Agile project management and Product Owner skills