Product Manager (Finance Data)-Insurance Domain-Remote

Title Product Manager (Finance Data)-Insurance Domain

Location-Remote

Duration Contract

ROLE PURPOSE

• The Product Manager owns the data build behind Client's finance solutions on the Collider data platform capturing requirements, designing data models, and partnering with Data Engineering and Finance to deliver accurate, trusted data for core insurance finance calculations such as earned premium, reserves, and loss ratios.
• Reporting to the Director of Product, the role combines hands-on data modeling with product delivery, working closely with Finance and Data Engineering to ensure the finance data build is accurate, well-governed, and fit for underwriting, reporting, and reserving needs.

KEY RESPONSIBILITIES AND ACTIVITIES

• Capture, refine, and document requirements for the finance data build, including calculation logic for metrics such as earned premium, incurred losses, and reserves.
• Maintain and prioritize the finance data product backlog in partnership with Finance and Data Engineering.
• Translate finance and actuarial concepts into clear data models, user stories, and acceptance criteria.
• Work hands-on with data to design, build, and validate data models and calculation logic, including SQL-based analysis.
• Partner closely with Finance throughout delivery, from requirements through to release.
• Support stakeholder engagement, demos, and feedback loops with Finance and Engineering partners.
• Contribute to continuous improvement of product practices.

EXPERIENCE AND KNOWLEDGE

• Required: product management or business analysis experience, ideally with data or analytics.
• Required: strong data modeling and analysis skills, with hands-on comfort building, testing, and validating data structures, including extensive SQL experience.
• Required: solid understanding of insurance finance concepts and calculations, such as earned premium, reserves, incurred losses, and loss ratios.
• Preferred: experience with agile delivery and backlog management.
• Preferred: familiarity with modern data and analytics tooling.
• Preferred: actuarial or insurance analytics experience.

QUALIFICATIONS

• Degree in a relevant discipline, or equivalent practical experience.

SKILL SET

• Requirements capture, data modeling, user-story writing, and backlog prioritization.
• Strong data analysis and modeling skills, including SQL.
• Working knowledge of insurance finance calculations, such as earned premium, reserves, and loss ratios.
• Good communication and collaboration skills.

Regards,

Sai Srikar

Email: