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AVPSAVP Insurance Analytics AI PC

Remote / Online - Candidates ideally in
Chicago, Cook County, Illinois, 60290, USA
Listing for: iShare Inc
Full Time, Remote/Work from Home position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 170000 USD Yearly USD 150000.00 170000.00 YEAR
Job Description & How to Apply Below

Job Title:

AVP/SAVP – Insurance Analytics & AI (P&C)

Location:

Chicago, IL or CST Time Zone (Hybrid)

Experience

Required:

10–15 years

Compensation: $150K–$170K USD

Job Type: Full-Time

Position Overview

We are seeking a dynamic and experienced Assistant Vice President (AVP) or Senior Assistant Vice President (SAVP) to lead and drive Insurance Analytics & AI initiatives for Property and Casualty (P&C) clients. This leadership role focuses on client management, data‑driven solutions, and strategic insights, ensuring clients receive cutting‑edge analytics and AI solutions that enhance operational efficiencies and business outcomes.

Responsibilities
  • Serve as the primary point of contact for key P&C insurance clients
  • Lead strategic initiatives and roadmap development for analytics and AI
  • Oversee application of advanced analytics and AI to solve insurance challenges
  • Ensure successful delivery of data models, dashboards, and reporting tools
  • Act as a trusted advisor to clients and internal stakeholders
  • Support business development and proposal creation
  • Identify and mitigate project risks
  • Stay current with P&C insurance, analytics, and AI trends
  • Design innovative solutions for underwriting, claims, and pricing
  • Deliver performance dashboards and actionable insights
Qualifications
  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or related field
  • 10–15 years of experience in data analytics with a focus on insurance
  • Expertise in SQL, Power BI, SAS, and Generative AI
  • Strong skills in data modeling, visualization, and decision‑making
  • Proven leadership and team management experience
  • Strategic thinking and problem‑solving abilities
  • Preferred:
    Experience with Python, R, machine learning, and consulting

Flexible work from home options available.

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