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... senior leadership. This is an exciting opportunity to be a key influencer to the company ... The Team: You will be joining a team of analytics and data science professionals within the ...

The role owns end-to-end data science solutions-from problem framing through production deployment-while translating complex analytical outputs and AI innovation into actionable business insights.

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As of Jul 2, 2026, the average yearly pay for data science leader in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
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Sr Director I, Data Science

Sr Director I, Data Science

Liberty Mutual

Columbus, OH • On-site

Full-time

Posted 16 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

30th of 277 rated insurance


Job description

Description

Liberty Mutual's US Retail Markets Data Science Excellence team is seeking a Senior Director I, Data Science to serve as a senior individual contributor and thought leader across our Claims & Service data science portfolio. This is a high-impact advisory role designed for a seasoned practitioner who thrives on breadth - someone who can engage credibly across a wide range of modeling initiatives simultaneously, elevate the technical rigor of our teams, and help translate data science investments into measurable business outcomes.

This role sits within the broader USRM Data Science (USDS) community and will partner closely with front-line DS managers, modeling teams, and business stakeholders to ensure our AI work is grounded in sound methodology and aligned to strategic priorities.

WHAT YOU'LL DO

Technical Advisory & Quality Assurance

  • Serve as a senior technical reviewer across active modeling projects, identifying structural risks before they become production problems - including data leakage, label construction errors, distribution shift, and flawed evaluation methodology.
  • Challenge assumptions at the design stage: scrutinize feature selection rationale, target variable definitions, train/test splits, and deployment contexts to surface gaps in problem framing.
  • Conduct focused reviews of model documentation, validation approaches, and monitoring frameworks; provide specific, actionable feedback rather than general guidance.
  • Recognize when a modeling approach is fundamentally misaligned with the underlying business question and redirect teams toward higher-value formulations.

Strategic Business Partnership

  • Partner with front-line DS managers and their teams to assess opportunity areas - translating ambiguous business problems into well-scoped modeling applications with clear value hypotheses.
  • Help business stakeholders understand what data science/AI can and cannot do in their domain; build shared frameworks for prioritizing investments based on feasibility and expected impact.
  • Bridge the gap between technical execution and business strategy by framing model outputs in terms of operational levers, cost/benefit tradeoffs, and downstream claims or service workflows.
  • Serve as a sounding board for DS leaders navigating build-vs-buy decisions, vendor evaluations, and model governance questions.

Mentorship & Community Leadership

  • Mentor data scientists and senior modelers across USDS - providing technical expertise, business acumen, and systems thinking in roughly equal measure.
  • Help develop the broader DS community's shared standards: code review practices, modeling documentation norms, reproducibility expectations, and peer review culture.
  • Act as a visible senior leader in Liberty Mutual's DSPRG community - contributing to knowledge-sharing initiatives, cross-BU technical forums, and capability-building efforts.
  • Model intellectual rigor and intellectual humility: demonstrate what good technical judgment looks like, especially in the face of ambiguity or organizational pressure to move fast.
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.
  • Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which they interact up to and including SBU/Corp Dept leadership.
  • Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
  • Ability to give effective training and presentations to all levels of the organization.
  • Interacts with senior executives.
  • Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
  • Deep knowledge of business drivers and market context.
  • Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
  • Utilizes significant business experience and judgment to direct work of unit and communicate results.
  • Has a value-driven perspective with regard to understanding of work context and impact
  • Competencies typically acquired through a PhD degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 8 years of relevant experience, a Master`s degree (scientific field of study) and 10 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 14 years of relevant experience.
  • Insurance or financial services industry experience preferred.

If you are looking to continue growing your career as a data scientist in a senior role without direct management responsibilities, joining USDS as a consultant affords an opportunity to expand your scope and impact while remaining deep in the details of the latest advances in AI and Data Science. We look forward to hearing from you!

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://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty 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
Employment Type: FULL_TIME

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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