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Liberty Mutual

Data Marketplace Governance Lead

Portsmouth, NH,US, US; Columbus, OH,US, US; Boston, MA,US, US; Plano, TX,US, US; Indianapolis, IN,US, US

Job at a glance

Workplace
On-site
Employment
Full-time
Sector
Engineering & Technology
Posted
Oct 28, 2026
First found
Oct 29, 2026, 10:07 AM ET

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About the job

Own and evolve marketplace governance standards, including asset eligibility, certification tiers, and ownership models Partner with domain teams (e.g., underwriting) to understand governance needs and recurring data issues impacting marketplace usage Review and update marketplace governance documentation, including standards, procedures, and guidelines Periodically review assets for accuracy and relevance and de-list assets that are no longer in use or out of compliance Review and resolve governance exceptions escalated from day-to-day operations that cannot be addressed within individual domains Define and maintain asset-level access requirements and eligibility criteria in partnership with security Partner with the Product Lead to inform strategy, roadmap updates, and success metrics from a governance perspective Bachelor's degree in Information systems, Business, or a related field 15+ years experience in Governance function for Data, product, platform, services etc. 10+ years managing data as an asset and defining and operationalizing data standards, certification models, and ownership frameworks Understanding of data contracts, metadata for various data assets and defining Demonstrated ability to resolve governance exceptions and balance consistency with speed in federated environments Working knowledge of data access controls, analytics workflows, and platform governance to support marketplace decisions Comfortable partnering with domain teams, security, and business stakeholders to translate governance policy into practical standards AI Fluency: Actively uses AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.