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Jobs · Analyst · New Jersey

Lead Business Analyst: Data Office - Actuarial Data & Tools

AIG · Jersey City, NJ · 2 wk ago
Analyst$120k–$150k/yrFull-time

About the role

AIG is seeking a driven individual to join the Data Office as a Lead Business Analyst – Actuarial Commercial Lines. This role plays a critical role in ensuring a clear understanding of data and analytics needs and priorities, working closely with Commercial Lines Actuarial Groups.

Responsibilities

  • Lead deep, structured requirement sessions with senior actuaries to understand workflows, data nuances, and reporting needs, creating detailed functional specifications.

  • Facilitate alignment across actuaries and Data Office teams on project priorities, project timelines, and management of the deliverables.

  • Product Owner for Data Platform & Tool Development: Develop roadmaps for actuarial data and tool development requirements and partner with data engineers to build and deploy them in a timely manner.

  • Agile Development Leadership & Product Backlog Management: Lead Agile Ceremonies, such as user story refinement, sprint planning, and daily scrums. Lead Backlog Grooming to translate actuarial requirements into actionable user stories, epics, and acceptance criteria for developers.

  • Data Governance & Quality: Ensure compliance with data standards and maintain rigorous documentation for data lineage, testing, and production changes.

Requirements

  • Experience: 7+ years of experience in business analysis, actuarial tool design within the insurance/financial industry.

  • Education: Bachelor’s degree in actuarial science, Computer Science, Data Analytics, Mathematics, or related field.

  • Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools).

  • Data Proficiency: Experience with data environments, ETL and visualization tools.

  • Leadership: Demonstrated experience leading Agile teams and managing product backlogs.

  • Soft Skills: Excellent communication skills, with the ability to translate technical concepts to non-technical stakeholders.

Qualifications

  • Preferred Qualifications: Actuarial Credentials, actuarial exams, or deep understanding of actuarial reserving/pricing concepts.

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