Manager, Data Operations

Posted 26 Minutes Ago
Be an Early Applicant
6 Locations
Remote or Hybrid
179K-322K Annually
Expert/Leader
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
Leads strategy, architecture, governance, sourcing, and delivery of training and calibration data for data science and pricing teams. Oversees data engineering and pipeline modernization, vendor and warehouse integration, source-system changes, data lineage, and model-ready dataset delivery. Manages the Modeling Data Solutions organization, partners with enterprise data stakeholders, and guides teams supporting business-line data needs.
Summary Generated by Built In
Description
Owns the strategy and delivery of the training and calibration data the P&L vertical teams in US Data Science (USDS) and Product Delivery need for pricing. Leads the modernization of the department's data architecture to keep pace with the organization's growing needs.
Provides strategic and tactical direction for the department. This position requires deep knowledge of feature engineering and dataset preparation for data science, data architecture, and modern pipeline approaches, along with the proven ability to lead a large organization.
Leads and develops the teams within the Modeling Data Solutions (MDS) department. Oversees the sourcing of data from enterprise data warehouses and external vendors, including vendor data acquired to test potential new modeling features. Owns the process changes needed when new source systems come online, such as new policy or claims platforms. Directs the end-to-end pipelines team in modernizing existing MDS pipelines so that model-ready data can be delivered at the speed the P&L vertical teams need. Works closely with the Data Office and DAE to help shape the enterprise data strategy.
Oversees teams that serve as the data experts for their lines of business, explaining where the data comes from and how it was built, and working closely with data science partners on changes and improvements to the datasets.
Collaborates with USDS, ED&DS, Data Office, DAE, and Product Delivery in developing these solutions.
Qualifications
  • 15+ years coding experience in data strategy, analytics, data management, data warehousing, data architecture, data product ownership or unstructured data environments, and defining and executing data governance policies and procedures
  • Bachelor`s degree or equivalent experience required, MBA or advanced degree preferred
  • Experience working in a global, multicultural environment working across multiple geographies and business groups
  • Experience influencing senor level management and key stakeholders
  • Strong written and oral communication skills required
  • Familiarity with Agile practices
  • Familiarity with process management a plus
  • Working knowledge of cloud data platforms such as Snowflake and Databricks, and of AWS services including SageMaker
  • Experience sourcing, integrating, and governing data from enterprise data warehouses and external vendors
  • Strong understanding of data architecture, data pipelines, and data lineage practices
  • Ability to partner with data science, technology, and business stakeholders and communicate clearly with technical and non-technical audiences
  • Familiarity with modern pipeline and orchestration tools such as dbt and Airflow

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/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

$179,000.00 - 322,000.00

Skills Required

  • 15+ years of coding experience in data strategy, analytics, data management, data warehousing, data architecture, data product ownership, or unstructured data environments
  • Experience defining and executing data governance policies and procedures
  • Bachelor's degree or equivalent experience
  • Experience working in a global, multicultural environment across multiple geographies and business groups
  • Experience influencing senior-level management and key stakeholders
  • Strong written and oral communication skills
  • Familiarity with Agile practices
  • Working knowledge of Snowflake, Databricks, and AWS services including SageMaker
  • Experience sourcing, integrating, and governing data from enterprise data warehouses and external vendors
  • Strong understanding of data architecture, data pipelines, and data lineage practices
  • Ability to partner with data science, technology, and business stakeholders and communicate with technical and non-technical audiences
  • MBA or advanced degree
  • Familiarity with process management
  • Familiarity with modern pipeline and orchestration tools such as dbt and Airflow

What the Team is Saying

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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

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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.

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About our Teams

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

Typical time on-site: Flexible
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