• Regularly analyze core product metrics to catch outliers and negative trends early • Organize A/B tests — validate test setup quality and calculate results • Provide analytical support for generating and prioritizing product hypotheses • Dig into raw data arrays to surface growth points and uncover implicit dependencies between metrics • Support unit economics: LTV, CAC, and ARPU calculations by cohort • Build impact forecasting models — net revenue and expected income projections for new projects and features

• Support the strategic delivery of the overall Product Roadmap to meet the timing and milestones from the Product Development and Product Implementation deliverables while exhibiting flexibility as projects are re-prioritized or timelines are shifted. • Partner with product development, pricing and rate setting teams to provide any support or expertise during early ideation stages of product development. • Serve as a product subject matter expert for cross-functional partners on product implementation efforts as needed to successfully deliver the product roadmap; providing product expertise and ensuring accuracy and consistency. • Create test tools and product mechanic test strategies that ensure accurate and timely delivery of the product roadmap. • Support implementation efforts with an agile framework within the product build team by supporting continuous team optimization, identifying and resolving blockers, managing priorities, work pipeline and structure. • Lead the product implementation efforts of new life and annuity products, enhancements to existing products, and system remediation updates related to life insurance and annuity products. • Build cross functional stakeholder engagement strategies, working with key stakeholders to identify priorities and collaborate on solutions for new products. Identify, recommend, and implement process improvements related to improving efficiency and quality while enhancing speed-to-market. • Support the management, creation, and integration of product requirements into administration, proposal systems, and other upstream/downstream systems. • Provide support to business-as-usual items, such as completing policy holder service requests, data analysis requests, breaking down current system product functionality, competitive intelligence requests, input and review on agent/consumer marketing materials, and life reinsurance requests in a timely and efficient manner.

• Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions.

• Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions.