обновлено 6 дней назад
AVP, AI Product Owner
152 000 - 202 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AVP, AI Product Owner (AI/Insurance): Leading the development and scaling of AI-driven products and use cases across underwriting and claims with an accent on business analysis, product roadmaps, and stakeholder alignment. Focus on translating insurance needs into requirements, prioritizing backlogs with data science and engineering teams, and driving measurable adoption and continuous improvement.
Location: Hybrid role based in Warren, New Jersey, or New York, New York, United States
Salary: $152,000–$202,000 annually
Company
is a global risk management and reinsurance company focused on underwriting risk and creating long-term value.
What you will do
- Own the end-to-end lifecycle of AI products and use cases from ideation through implementation and scaling.
- Partner with Underwriting, Claims, and other business stakeholders to identify and prioritize high-impact AI opportunities.
- Translate business needs into product requirements, user stories, acceptance criteria, and process maps.
- Maintain product roadmaps, prioritize backlogs, and support sprint planning with data science, engineering, and delivery teams.
- Drive implementation, adoption, change management, stakeholder communication, and continuous product improvement.
- Support enterprise AI platforms such as EverAssist and monitor product performance through KPIs and user feedback.
Requirements
- Bachelor’s degree in Business, Technology, Data Science, or a related field; an MBA is preferred.
- 6+ years of experience in Product Ownership, Business Analysis, or related roles.
- Strong insurance operations knowledge, particularly in Underwriting and Claims.
- Experience implementing AI/ML or advanced analytics use cases in a business environment.
- Strong business analysis, requirements gathering, process mapping, documentation, Agile, Scrum, and Kanban skills.
- Technical understanding of AI/ML concepts, data pipelines, APIs, and collaboration with data scientists and engineers; experience with JIRA, Confluence, Visio, or Lucidchart.
Nice to have
- Experience with enterprise AI platforms or copilots such as EverAssist.
- Knowledge of data governance, model risk management, and regulatory considerations in insurance.
- Experience leading digital transformation initiatives in the insurance industry.
Culture & Benefits
- Inclusive workplace focused on collaboration, leadership, efficiency, execution, and belonging.
- Health insurance coverage, wellness program, life and disability insurance, and 401(k) match.
- Retirement savings plan, paid holidays, and paid time off.
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