Teams at Allstate

Analyzes exposure risks across databases and data platforms, including permissions, access models, configurations, storage, encryption, and service-to-service access. Investigates attack paths, validates risks using queries and logs, prioritizes issues by exploitability and business impact, and partners with database, cloud, platform, engineering, and cybersecurity teams on remediation and preventative controls.

Leads data science and advanced analytics initiatives for Auto Claims by developing machine learning and predictive modeling algorithms, integrating structured and unstructured data, and creating tools to support business decisions. Communicates modeling results to stakeholders, researches emerging techniques, manages moderately complex projects, and provides mentorship to junior data scientists. The role is remote with up to 10% travel to regional offices.

Owns and executes an AI-focused digital product roadmap, prioritizing cross-functional demand and defining measurable outcomes. The role frames customer and business problems, uses research and analytics for decisions, advocates for intuitive user experiences, and partners with engineering, UX, architecture, and stakeholders. It also explores and scales Generative AI and agentic technologies, audits knowledge sources, and improves how knowledge is delivered to AI agents and translated into production capabilities.