Product Owner leading the development of next-generation data products in life insurance with data science and software engineering.
Responsibilities
Collaborate with carriers, distributors and internal stakeholders to identify pain points and validate demand for new data products (e.g., distribution analytics, predictive underwriting models, automated policy administration tools, fraud detection, data verification services, etc).
Own, prioritize, and maintain the product backlog. You will translate complex requirements into actionable user stories and acceptance criteria for our engineering teams.
Define the "what" and the "why" behind product features, ensuring the development team is always working on the items with the highest business impact. Partner with leadership to define go-to-market strategy and pricing models for new data products.
Act as the primary point of contact for product progress, providing transparency to leadership, adhering to acceptable-use data policies, and ensuring the final product meets the specific regulatory and technical needs of the life insurance sector.
Work closely with developers from initial concept and data modeling to production release and post-launch iteration. Engage with Sales and Delivery teams to ensure smooth delivery to the customer
Requirements
3+ years of experience as a Product Owner or Product Manager in an Agile environment. Experience launching new products preferred.
Deep understanding of the Life and Annuity industry (e.g., underwriting processes, agent/producer sales approaches, policy life cycles, claims, etc.).
Proven experience delivering data-oriented software products. You should be comfortable discussing APIs, data pipelines, machine learning concepts, and data visualization.
Exceptional ability to "translate" between business and technical stakeholders.
Experience with Jira, or similar project management tools, and a solid understanding of the software development life cycle. Experience with tools like ThoughtSpot is a huge plus
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