Actuarial Data Product Owner | Lead Business Analyst

Millennium Al Barsha, Atria Business Bay & Mont Rose

New York (NY)

On-site

USD 115,000 - 144,000

Full time

14 days+

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Job summary

American International Group (AIG) is seeking a driven Lead Business Analyst within the Global Data Office to align actuarial data strategy with business priorities. You will work with Commercial Lines Actuarial Groups and data engineering teams to translate complex requirements into actionable data specifications and ROADMAP actuarial data capabilities.

You will lead Agile product ownership for the Data Platform, drive backlog management, and ensure governance across data lineage and quality.

Qualifications

  • 7+ years of experience in business analysis within insurance/financial services.
  • Actuarial concepts knowledge: reserving, pricing, risk assessment.
  • Ability to translate complex actuarial requirements into data specs for engineering teams.

Responsibilities

  • Lead deep requirement sessions with senior actuaries to understand workflows, data nuances and reporting needs.
  • Facilitate alignment across actuaries and Data Office teams on priorities and timelines.
  • Own roadmaps for actuarial data and tool development, and partner with data engineers to deploy them timely.
  • Translate actuarial requirements into user stories, epics and acceptance criteria; maintain data governance.

Skills

Business analysis
Agile product ownership
Actuarial tooling design
Stakeholder management
Data proficiency

Education

Bachelor's degree in actuarial science / CS / data analytics / mathematics

Tools

ETL tools
Visualization tools

Job description

American International Group (AIG) is seeking a driven Lead Business Analyst within the Global Data Office to align actuarial data strategy with business priorities. You will work with Commercial Lines Actuarial Groups and data engineering teams to translate complex requirements into actionable data specifications and ROADMAP actuarial data capabilities.

You will lead Agile product ownership for the Data Platform, drive backlog management, and ensure governance across data lineage and quality.

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