Data Governance Lead — Insurance & Analytics

Ultipro; Richardson (TX); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical & dental benefits

Vision insurance

Life insurance

Short-term disability

Long-term disability

Parental Leave Policy

401K + Company Match

PTO + Holidays

Job summary

GAINSCO is seeking a Data Governance Manager to establish and operate our enterprise data governance program. You will ensure data is trusted, defined, secure, and fit for use across underwriting, claims, operations, finance, and marketing.

As part of the Data and Analytics team, you will manage governance operations, build data standards, and strengthen data stewardship practices while enabling responsible AI across the organization.

Qualifications

• Bachelor's degree in quantitative, information management, or related field.
• 5+ years in data governance, data management, or data quality.
• Experience building enterprise data governance programs in insurance/finance.

Responsibilities

• Lead daily operations of the enterprise data governance program and reports.
• Develop glossary, definitions, data element inventory, and quality standards.
• Coordinate data stewards and resolve data quality issues across teams.
• Lead master data management initiatives, stewardship workflows, and metrics.
• Partner with IT, Security, Legal, and Compliance on governance practices.
• Create training, metadata, and catalog documentation to raise data literacy.

Skills

Data governance

Data quality

Stakeholder management

SQL

Cloud platforms

Data privacy

Education

Bachelor's degree in relevant field

Tools

Microsoft Purview

Collibra

Alation

Informatica

Profisee

Reltio

Job description

GAINSCO is seeking a Data Governance Manager to establish and operate our enterprise data governance program. You will ensure data is trusted, defined, secure, and fit for use across underwriting, claims, operations, finance, and marketing.

As part of the Data and Analytics team, you will manage governance operations, build data standards, and strengthen data stewardship practices while enabling responsible AI across the organization.