Lead Business Analyst: Data Office - Actuarial Data & Tools
American International Group (AIG)
Overview
In this role you help unlock smart, data-driven decision making for Commercial Lines actuarial analytics. You work with the Global Data Office to translate actuarial needs into data specs, shape the data platform roadmap, and guide cross-functional delivery. You’ll blend actuarial insights with data engineering to improve reporting, reserving and pricing decisions. This is a hands-on product owner role with meaningful impact on analytics strategy and execution.
Pay / Benefits- Total Rewards Program
- health, wellbeing and financial security benefits
- professional development
- in-person collaboration culture
- competitive benefits
- focus on inclusion and ERGs
- Lead deep requirement sessions with senior actuaries to capture workflows, data nuances and reporting needs, producing functional specs
- Facilitate alignment across actuaries and Data Office teams on priorities and timelines
- Own the Data Platform & Tool Development for actuarial data, roadmapping and partnering with data engineers
- Lead Agile ceremonies and manage the product backlog (refinement, sprint planning, daily scrums)
- Translate actuarial requirements (reserving, pricing, modeling) into user stories, epics and acceptance criteria
- Ensure data governance and quality with standards, lineage documentation and change management
- 7+ years of experience in business analysis and actuarial tool design in insurance/financial services
- Bachelor in actuarial science or related field
- Strong understanding of Commercial Insurance actuarial concepts (reserving methods, pricing tools)
- Experience with data environments, ETL and visualization tools
- Leadership experience in steering Agile teams and backlog management
- Excellent communication skills to translate complex concepts for non-technical stakeholders
- Actuarial credentials or exams preferred
- Excellent communication
- Stakeholder management
- Ability to translate technical concepts for non-technical audiences
- Actuarial concepts (reserving, pricing)
- Data environments
- ETL
Reference: WJ-747_30155325