Director, Data Science

Posted 25 Minutes Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
156K-281K Annually
Expert/Leader
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
Leads the AI Information and Intelligence organization, managing data science managers, data scientists, and AI/ML engineers. Owns the roadmap for reusable data extraction, research, knowledge intelligence, and evidence capabilities. Directs production AI/ML development, enterprise platform scaling, governance, evaluation, MLOps standards, staffing, and stakeholder communication across business segments and geographies.
Summary Generated by Built In
Description
Director II, Data Science - AI Information and Intelligence
Position Overview
We are seeking a Director of Data Science to lead the AI Information and Intelligence team within the Global AI Products and Transformation organization in GRS Data Science Solutions. This team owns the reusable AI capabilities that let underwriting and claims systems find, extract, and connect the information those systems need - including intelligent data and document extraction, external research and enrichment, knowledge/guidelines/policy intelligence, evidence intelligence, and "like-me" comparison capabilities.
This leader will build and manage a team of data science managers, data scientists, and AI/ML engineers, and will be accountable for establishing a durable, reusable capability layer that multiple segments and geographies can extend rather than rebuild. They will set technical direction, develop the roadmap for their capability domain, and partner closely with the peer leaders of AI Products and Decisioning and AI Product Strategy and Scale, with segment data science teams, and with Technology to ensure capabilities are built once, proven in a lead segment, and scaled across the enterprise.
Key Responsibilities
  • Lead, coach, and develop a team of data science managers, data scientists, and AI/ML engineers responsible for the Information and Intelligence capability domain.
  • Own the roadmap for reusable "find / extract / connect" capabilities - data extraction, external research and enrichment, knowledge/guidelines/forms intelligence, evidence intelligence, and comparable ("like-me") intelligence - and prioritize investment for maximum reuse and value.
  • Direct the design, development, deployment, and ongoing improvement of production-grade AI/ML solutions that prove out in a lead segment and are engineered from the start to extend to other segments and geographies.
  • Partner with the leaders of AI Products and Decisioning and AI Product Strategy and Scale to sequence shared/dependent capabilities (e.g., hazard/concern flagging, rules and guideline intelligence, information sufficiency detection) and to hand off mature capabilities for adoption.
  • Partner with segment data science teams and Technology leadership to translate lighthouse solutions into enterprise-scale platforms, defining the architecture that gives AI systems governed access to relevant data and context.
  • Establish common evaluation, quality, and feedback standards for the capabilities the team owns, and ensure outputs are traceable to source and auditable.
  • Set engineering standards across the team's AI development lifecycle - testing, version control, CI/CD, observability, documentation, and MLOps/AIOps.
  • Manage team structure, staffing, and workload across onshore, near-shore, and partner resources, including hiring and performance management for direct reports who themselves manage teams.
  • Communicate roadmap, trade-offs, progress, and recommendations clearly to technical teams, business stakeholders, and senior leadership.

Required Qualifications
  • Demonstrated experience leading data science or AI/ML teams, including direct people-management of managers and/or senior individual contributors.
  • Hands-on background developing and deploying production-grade AI or ML solutions, with advanced knowledge of AI/ML methods, engineering practices, and tools.
  • Experience owning a product or capability roadmap and making prioritization trade-offs across multiple stakeholder groups.
  • Strong communication, collaboration, and stakeholder-management skills, including experience partnering with peer leaders, engineering/architecture teams, and business sponsors.
  • Relevant insurance or regulated-industry experience is preferred.
  • Competencies typically acquired through a Ph.D. degree (in Computer Science, Statistics, Mathematics, Economics, Actuarial Science, or other scientific field of study) and a minimum of 6 years of relevant experience - including people leadership - a Master's degree (scientific field of study) and a minimum of 9 years of relevant experience, or a Bachelor's degree (scientific field of study) and a minimum of 11 years of relevant experience.

Preferred Skills and Experiences
  • Prior formal management of managers, or experience leading a team of team leads, within data science, AI/ML, or engineering.
  • Experience leading AI products in a product-oriented delivery model, from opportunity identification through scaled adoption.
  • Experience with GenAI, LLM-based applications, retrieval-augmented generation, agentic workflows, or AI-assisted document/data extraction at production scale.
  • Experience building reusable AI platforms, shared services, or enterprise-scale capabilities that were successfully extended across multiple business lines or geographies.
  • Success driving AI transformation and adoption in large, complex, or global organizations.

What Success Looks Like
Success in this role means the AI Information and Intelligence team becomes the trusted, reusable source of extracted data, external intelligence, and grounded knowledge that both underwriting and claims AI products depend on - built once, proven in a lead segment, and adopted broadly rather than rebuilt by each team. This leader will grow a high-performing organization of managers and engineers, maintain a roadmap that balances near-term segment needs with the long-term reusable capability vision, and be recognized as a peer partner to the other Global AI Products and Transformation leaders in scaling AI cost-effectively across the enterprise.
Qualifications
• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.• Expert knowledge of predictive toolset, to include highly technical tools.• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.• Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups.• Presents to senior or functional department leaders or executives.• Broad knowledge of business drivers and market context.• Has a value driven perspective with regard to understanding of work context and impact.• Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.• Insurance or financial services industry experience preferred.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

$156,000.00 - 281,000.00

Skills Required

  • Experience leading data science or AI/ML teams, including direct management of managers or senior individual contributors
  • Hands-on experience developing and deploying production-grade AI or ML solutions
  • Advanced knowledge of AI/ML methods, engineering practices, and tools
  • Experience owning a product or capability roadmap and prioritizing across multiple stakeholders
  • Strong communication, collaboration, and stakeholder-management skills
  • Experience partnering with peer leaders, engineering or architecture teams, and business sponsors
  • Ph.D. in a scientific field and at least 6 years of relevant experience, or Master's degree and at least 9 years, or Bachelor's degree and at least 11 years
  • Deep knowledge of predictive analytics techniques and statistical model diagnostics
  • Expert knowledge of predictive tools and highly technical toolsets
  • Ability to lead projects and assignments through others and manage talent effectively
  • Ability to communicate complex information clearly in verbal, visual, and written formats
  • Ability to build relationships within and outside the functional area
  • Ability to present to senior leaders or executives
  • Broad knowledge of business drivers and market context
  • Prior formal management of managers or team leads within data science, AI/ML, or engineering
  • Experience leading AI products through opportunity identification, delivery, and scaled adoption
  • Experience with GenAI, LLM applications, RAG, agentic workflows, or AI-assisted document and data extraction at production scale
  • Experience building reusable AI platforms, shared services, or enterprise-scale capabilities
  • Insurance, financial services, or other regulated-industry experience
  • Experience driving AI transformation in large, complex, or global organizations

What the Team is Saying

Natalie
Antonio
Tyler
Sandra
Kemi
Herman
Chase
Ethan
Sandra

Liberty Mutual Insurance Compensation & Benefits Highlights

  • Parental & Family Support — Family-building and leave benefits include eight weeks of paid bonding leave plus an additional eight weeks of paid short-term disability for birth parents, fertility support, and up to $40,000 for adoption or surrogacy assistance. These offerings are highlighted as especially attractive for employees planning to grow families.
  • Retirement Support — The retirement program features a 100% match on the first 5% of eligible pay plus an additional 3% annual match under stated conditions, with student-loan-related 401(k) matching noted. Feedback suggests this structure stands out for long-term financial support.
  • Healthcare Strength — Offerings span medical, dental, and vision coverage; an EAP; mental-health services including 12 free therapy sessions; and company-paid short-term disability with optional long-term disability levels. These elements contribute to a comprehensive health and protection package.

Liberty Mutual Insurance Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Boston, MA
40,000 Employees
Year Founded: 1912

What We Do

Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.

Why Work With Us

We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Liberty Mutual Insurance Teams

Team
Digital & Technology
About our Teams

Liberty Mutual Insurance Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Company Office Image
HQBoston, MA
Company Office Image
Indianapolis, IN
Company Office Image
Plano, TX
Company Office Image
Portsmouth, NH
Company Office Image
Seattle, WA
Learn more

Similar Jobs

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
137K-281K Annually

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Director, Data Science - Rollout acceleration AI

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
120K-257K Annually

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Director, Data Science - Rollout acceleration AI

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
120K-257K Annually

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Director, Data Science - Rollout acceleration AI

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
120K-257K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account