AVP, Analytics Product Owner

Chubb; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading company is seeking an Analytics Product Owner to enhance digital underwriting through innovative analytics solutions. The role involves collaboration with executives and managing cross-functional teams to deliver scalable AI assets. Ideal candidates are experienced in insurance data science and possess strong leadership and communication skills.

Qualifications

• Experienced insurance data science professional required.
• Subject matter expert in analytics and digital underwriting.

Responsibilities

• Create analytics solutions for digital underwriting efficiency.
• Manage cross-functional teams including data scientists and engineers.
• Prepare presentations for business and C-suite executives.

Skills

Leadership

Communication

Data Science

Analytics

Education

Bachelor's Degree

Job description

One of Chubb’s most advanced AI analytics products is seeking an Analytics Product Owner to help build, design, and deploy capabilities across multiple insurance products globally. This role involves working closely with executive stakeholders and analytics leadership to shape the future of digital underwriting. We are looking for a highly motivated, experienced insurance data science professional to contribute to the evolution of analytics at our company.

Job Description

1. Create analytics solutions to improve efficiency in the digital underwriting process for various business units and insurance products.
2. Collaborate with senior executives to scope, manage, and deliver scalable AI assets.
3. Lead model review sessions with senior stakeholders, effectively communicating complex models to business leadership teams.
4. Manage cross-functional teams including data scientists, data engineers, machine learning engineers, and software engineers.
5. Develop integration roadmaps and identify dependencies within IT deployment systems.
6. Stay informed about industry trends and explore new ideas through relevant forums and internal/external sources.
7. Serve as a subject matter expert, providing guidance throughout the project lifecycle, including data exploration, trend identification, problem scoping, and data/model reasonability assessment.
8. Represent the analytics team in training sessions and team meetings organized by the business.
9. Coordinate with other Product Owners and Portfolio Managers to identify and meet project dependencies.
10. Prepare presentations for business and C-suite executives to showcase product capabilities and project progress.