Director R&D AI/ML Research

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026!

**Position Summary:

**Mercury is looking for a Director to lead our Cross-Line AI/ML Research & Capability team within Product Research and Development (R&D). This leader will help shape how research is done across lines of business (Private Passenger Auto, Homeowners, Commercial Auto, Commercial Multi-Peril) by building reusable capabilities, modernizing research workflows, and applying AI and machine learning to accelerate insight generation, model development, monitoring, and product innovation.

This is a high-impact leadership role for someone who combines strong insurance and analytics judgment with hands-on understanding of modern AI/ML applications. You will work across Product R&D, Mercury Technology Solutions (MTS), Enterprise Data Science (EDS), and other partners to create scalable research tools, establish best practices, and help teams adopt new ways of working that improve speed, rigor, and business impact.

The right candidate is excited by both strategy and execution. They can set a direction, build a team, influence across functions, and turn emerging technology into practical capability in a regulated insurance environment.

Geo-Salary Information

An in-person interview may be required during the hiring process

State specific pay scales for this role are as follows:

$118,078 to $330,661 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$118,078 to $330,661 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$118,078 to $330,661 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

In CA: Typical hiring range is $201,933 to $280,462

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

**Responsibilities

**Essential Job Functions:

• Lead the crossline strategy for AI/ML-enabled research capabilities that support product and pricing innovation across multiple lines of business.
• Build an...

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