Director II, Data Science: GenAI Research and Solution

Job Location s: US-MA-Boston | US-Remote | US-OH-Columbus | US-NH-Portsmouth | US-TX-Plano | US-WA-Seattle

• :
• Position Type:
  Full-Time
• Job Grade: 20
• Department: 043D-13603 Data Sci-Excellence
• Market: US Retail Markets
• Minimum Salary: USD $/Yr.
• Maximum Salary: USD $/Yr.
• Typical Starting Salary: $187,300 - $249,800
• Travel: 10%
• Recruiter:
  Christina Kacmar
• Internal Final date to receive applications: 10/14/26
• Referral Bonus Eligible?:
  No

Are you looking for a Data Science Leader position where you can work in a team at the cutting edge of generative AI (GenAI) research for insurance? Where you lead a team that researches, fine-tunes and product ionizes GenAI capabilities that go directly into Liberty Mutual products?

The GenAI Research and Solution team is seeking a talented technical leader to lead a small and dedicated team focused on researching and delivering generative AI capabilities. This leader will guide the team through the full arc of a GenAI solution — researching new methods for fine-tuning small language models (SLMs), designing and evaluating pipelines such as retrieval-augmented generation (RAG), corrective RAG and agentic orchestration, and partnering across the organization to embed those solutions deeper into Liberty Mutual products.

This highly technical leadership position will be a great fit for someone with a strong sense of curiosity, tenacity and desire to face the challenge of scaling the impact of GenAI research for different insurance products at Liberty Mutual. It is also a hands‑on role — you will prototype, write code and run experiments alongside the team as well as set the direction for the work.

• Have a proven track record of working effectively with highly talented professionals to develop creative solutions to complex problems.
• Experience researching, fine‑tuning, evaluating and communicating findings based on large and small language models.
• Experience designing and benchmarking GenAI pipelines such as RAG and corrective RAG, along with the evaluation methods that prove they work.
• Experience building and fine‑tuning agentic orchestration — tool use, planning, memory and multi‑agent workflows — along with the guardrails needed to trust it in production.
• Experience deploying and scaling GenAI solutions in production on a Kubernetes tech stack, preferably on Amazon Web Services (AWS).
• Be comfortable staying hands‑on, writing production‑quality code and reviewing the team’s work while leading it.
• Have an appreciation of the business applications and implications of scientific research.
• Have experience developing robust data and document processing pipelines at scale, including embedding generation and vector search.
• Have the ability to collaborate with researchers and engineers to bring complex ideas to market.

Solid communication and interpersonal skills are critical to the role, and the individual we hire will work very closely with their team, internal partners and external vendors as we work to test and implement new ideas. This is a highly visible position in a quickly growing area, where you will play a key role in building and growing the scope and impact of the GenAI solutions built by our team.

Ashutosh Mani

Candidates who live within 50 miles of Boston, MA;
Portsmouth, NH;
Seattle, WA;
Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.

• Manage and develop a team of data scientists focused on GenAI research and solution delivery, promoting their technical and career growth along with their alignment with business outcomes.
• Set and drive the research…