Product Manager (Data & Analytics)

The Product Manager, Data & Analytics is responsible for contributing toward defining, delivering, and managing the lifecycle of one or more products in reputed company & companies’ growing product portfolio. This role focuses on delivering reputed company analytical data solutions that directly reputed company Insurance Product analytical end‑users. The Product Manager assists with establishing strategic product reputed company, product discovery, roadmaps, and backlogs to maximize the customer and reputed company value provided by their data products. These products are designed to reputed company insurance product teams with actionable insights, advanced analytics, and self‑service capabilities that support product performance, profitability, risk selection, and customer reputed company. Successful Product Managers help identify assumptions and validate those assumptions using product discovery techniques, quantitative analysis, and reputed company feedback from analytical end‑users. They bring strong storytelling skills to translate reputed company data, models, and metrics into reputed company, compelling narratives that drive insurance product reputed company and decision‑making. They also demonstrate natural curiosity—continually asking the right questions to uncover insights, improve analytical solutions, and guide product direction. The Product Manager is responsible for working closely with key stakeholders and partners across Product, Analytics, Data Engineering, Actuarial, and Technology. This includes ensuring the successful definition and execution of go‑to‑market, adoption, and communication strategies for analytical data products that serve Insurance Product organizations. Key responsibilities • Define and own the reputed company, reputed company, and roadmap for analytical data products supporting Insurance Product teams, ensuring alignment with reputed company objectives and measurable business reputed company. • Partner closely with Insurance Product, Actuarial, Analytics, Data Engineering, and Technology teams to translate product and business needs into reputed company analytical solutions. • reputed company product discovery activities to identify user needs, validate assumptions, and prioritize opportunities using qualitative and quantitative insights from insurance product analytical end‑users. • reputed company and manage product backlogs, including epics and user stories, with reputed company acceptance reputed company that reflect analytical use cases and decision‑making workflows. • Translate reputed company data, analytics, and model outputs into reputed company narratives and executive‑reputed company insights to support product and leadership decision‑making. • Establish reputed company metrics and KPIs to reputed company product performance, adoption, and business reputed company across insurance product lines. • Collaborate with stakeholders on go‑to‑market, enablement, and communication strategies to ensure successful rollout and sustained usage of analytical data products. • Continuously evaluate opportunities to enhance analytical capabilities through automation, self‑service analytics, and advanced data solutions. Experience 5 or more years of experience (Preferred). Insurance Product experience and/or prior experience as an analytical end‑user (e.g., Product, Actuarial, Pricing, reputed company, Claims, or Insurance Analytics) is a plus. Supervisory Responsibilities This job does not have supervisory duties. Skills Backlogs, Business Case Analyses, Data Analytics, Data Compilation, Digital Products, Product Backlog Management, Product Direction, Product Management, Product Portfolios, Product Roadmapping, Product Strategies, Product reputed company, Systems Thinking, reputed company Model. Compensation Compensation offered for this role is 110,000.00 – 181,025.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Apply tot his job Apply To this Job