Dir, I, Advanced Analytics
Liberty Mutual
Dir, I, Advanced Analytics
- ID
- 2026-74422
- Position Type
- Full-Time
- Job Grade
- 18
- Department
- 043D-05165 CASUALTY I&S
- Market
- US Retail Markets
- Minimum Salary
- USD $120,000.00/Yr.
- Maximum Salary
- USD $225,000.00/Yr.
- Typical Starting Salary
- $142,000-$172,000
- Recruiter
- Caridad Mederos
- Internal Application Deadline
- 3/5/2026
Description
Do you want to lead a high-performing analytics team and deliver insights that improve outcomes for our customers when they need us most? The Casualty Claims Analytics team partners with USRM Casualty Claims (Field, Operations, and Process leaders) to solve operational and strategic problems, deliver trusted performance metrics, and drive data‑led process improvements.
Role summary
The Director I will manage a team of analysts and lead higher‑complexity analyses and migration of scheduled code/reports to new data architecture. This person will partner with senior management and executives to frame questions, provide clear recommendations, and drive measurable improvements in accuracy, care, speed, and operational efficiency.
Key Responsibilities
- Lead, mentor, and grow a team of ~4 analysts; set priorities, review work, manage performance, and ensure high quality and timely delivery.
- Own and perform advanced analytics projects that influence executive decisions and operational strategy.
- Lead the migration of scheduled code, processes, and recurring reports to the new data environment; own the migration plan, timelines, testing, validation, and rollback procedures.
- Translate analytical findings into pragmatic recommendations and drive implementation in partnership with stakeholders.
- Partner with Operations and Process to identify, scope, quantify, and implement process or technical improvements.
- Manage moderate-to-complex projects and ad hoc executive requests; communicate status, risks, and outcomes clearly to leadership.
Qualifications
- Master's degree in Mathematics, Economics, Statistics or other quantitative field; Ph.D. helpful given quantitative work they are leading.
- Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision-making and project management skills.
- Expert knowledge of data sources, tools and business drivers.
- Knowledge of statistical techniques required. Industry knowledge critical.
- Intermediate SQL, SAS, or Python programming for data analysis and tool development preferred
Employees may apply for a new role after completing 12 months of employment in their current position.
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