Director, Asset Owner - GF06AE
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 of Asset Ownership 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 lead a team of Asset/Product Owners who drive adoption of the Data Science portfolio through the execution of the marketing and communication plan that includes drafting presentations for senior leadership, performing business impact analysis, and crafting the story associated with the analytical results throughout the assets’ life cycle.
The Middle & Large Business Data Science, AI and Analytics team is one of three practices (business-aligned teams) in the broader Business Insurance Data Science, AI and Analytics organization. This role will serve as a strategic leader and thought partner to Middle & Large Business leaders and to the Business Insurance Data Science, AI & Analytics leadership team. This role directly oversees a team of ~5 who are responsible for the success and impact of the full portfolio through accountability for unique subsets through asset and product ownership.
As a Director of Asset Ownership, 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, 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 (Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

• Lead and develop a team to guide the development and adoption of advanced analytic solutions
• Build strong partnerships with business customers and act as key point of contact for Middle & Large Business data science & analytics portfolio with internal stakeholders
• Coordinate with Global Specialty and Small Business Data Science and analytics teams on sharing solutions that have reusability across for increased synergies and achieve scale
• Continue to increase Agile maturity and end-to-end embeddedness of data science teams with other partner organizations including Transformation, CIO and EDS teams
• Develop the communication plan and marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, roadmaps and insight briefs
• Identify opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
• Instill disciplined project timelines and support teams capacities to deliver results in a timely manner; advance team aptitude in setting and managing expectations internally and externally
• Execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
• Develop the vision and strategic planning, success criteria, CBA and value propositions for advanced analytics solutions supporting Middle & Large Business
• Communicate with and influence audiences of various levels and diverse background

Qualifications:

• 8+ years of experience in supporting analytic or machine learning product ownership or technical development in insurance or related field recommended
• Experience in managing a team of technical and non-technical teammates in a project-based environment
• 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
• Solid knowledge of Agile principles Product Owner role; direct experience preferred
• 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
• 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

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.

• Lead and develop a team to guide the development and adoption of advanced analytic solutions
• Build strong partnerships with business customers and act as key point of contact for Middle & Large Business data science & analytics portfolio with internal stakeholders
• Coordinate with Global Specialty and Small Business Data Science and analytics teams on sharing solutions that have reusability across for increased synergies and achieve scale
• Continue to increase Agile maturity and end-to-end embeddedness of data science teams with other partner organizations including Transformation, CIO and EDS teams
• Develop the communication plan and marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, roadmaps and insight briefs
• Identify opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
• Instill disciplined project timelines and support teams capacities to deliver results in a timely manner; advance team aptitude in setting and managing expectations internally and externally
• Execute well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
• Develop the vision and strategic planning, success criteria, CBA and value propositions for advanced analytics solutions supporting Middle & Large Business
• Communicate with and influence audiences of various levels and diverse backgroun