Teams at GAINSCO Auto Insurance

Owns the strategy, lifecycle, adoption, and performance of enterprise data products. Defines product vision, roadmaps, success measures, and investment priorities; coordinates business, engineering, governance, analytics, and platform teams; monitors product health and adoption; and mentors partners on data product practices. Requires product management experience, enterprise data knowledge, strong stakeholder influence, and familiarity with SQL and modern data platforms.

Leads discovery and requirements gathering for enterprise data solutions, translating business needs into user stories, acceptance criteria, source-to-target specifications, and data workflows. Partners with engineering, architecture, governance, analytics, and business teams throughout delivery. Coordinates validation, reconciliation, testing, defect resolution, and stakeholder approvals while managing risks and dependencies. Documents data lineage, integrations, quality expectations, and reporting needs, and mentors analysts and cross-functional partners.

Defines and governs enterprise data architecture strategy, standards, reference models, and roadmaps. Designs secure, scalable data platforms and batch, streaming, and event-driven pipelines using cloud and analytics technologies. Establishes data modeling, governance, metadata, lineage, quality, security, and self-service analytics standards. Guides modernization, reviews engineering designs, communicates architecture decisions to leadership, and mentors architects and engineers.