Lead Business Analyst: Data Office - Actuarial Data & Tools

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

Responsibilities

• 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

Key requirements

• 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

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