Jobs 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.

Own the integration product strategy, roadmap, prioritization, and adoption outcomes for enterprise security capabilities across assigned business portfolios. Conduct customer and technical discovery, translate requirements into reusable integration patterns, define adoption measures, manage backlogs and dependencies, and lead cross-functional initiatives involving security, engineering, architecture, risk, and governance teams. Influence senior stakeholders without direct authority while improving integration velocity, coverage, reuse, and sustainable operational ownership.

Leads strategy, roadmap, lifecycle management, and delivery for Allstate’s Workday product portfolio. Manages and develops product managers across HR capabilities, prioritizes enterprise needs, evaluates build-versus-buy decisions, partners with engineering and vendors, and guides AI-enabled solutions. Defines product KPIs, coordinates integrations and dependencies, communicates tradeoffs to executives, and drives scalable product management practices in a remote, cross-functional environment.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

Leads investigations of critical vulnerabilities, zero-days, KEVs, and security exposures. Correlates technical data, determines scope and impact, coordinates remediation, commands incidents, escalates potential compromises, and maintains operational continuity across coverage periods. The role also mentors analysts and collaborates with SOC, incident response, technology, and security teams to reduce enterprise risk.

Leads intelligence-driven threat hunting across enterprise, cloud, OT/IoT, identity, and AI/LLM environments. Develops hypotheses, analyzes telemetry, identifies adversary tradecraft, and converts findings into detections, signatures, and SOAR playbooks. Partners with threat intelligence, detection engineering, incident response, and exposure management teams; supports purple-team exercises and investigations. The role also develops automation, identifies telemetry gaps, mentors junior hunters, communicates findings to executives, and advances hunting program maturity.

Conducts complex insider threat investigations involving data loss, fraud, system misuse, and policy violations. Analyzes user activity, logs, access patterns, behavioral data, and forensic artifacts to develop risk assessments, timelines, and evidentiary documentation. Supports detection, escalation, containment, and mitigation activities while improving investigative playbooks and controls. Partners with Cybersecurity, Legal, Compliance, HR, Privacy, IT, and Analytics teams and communicates findings and recommendations to leadership.

Define strategy and roadmap for billing and payments platform capabilities. Lead discovery, prioritize backlogs, partner with engineering and stakeholders, track outcomes, and ensure scalable, reliable financial customer experiences.

Design, administer, optimize, and support enterprise endpoint security platforms across a global environment. The role develops security baselines, hardening standards, automation workflows, and detection capabilities; investigates security events; supports incident response; evaluates security technologies; and partners with Cyber Operations, Infrastructure, Desktop Engineering, Identity, and DevOps/SecOps teams. Responsibilities include managing EDR, PAM, firewall, device control, API integrations, and security projects while improving overall endpoint security posture.

Owns the strategy, roadmap, development, and lifecycle of enterprise security products and platforms. Defines product vision, KPIs, backlogs, and secure-by-default capabilities integrated into developer workflows. Partners with engineering and security teams to deliver Agile releases, improve developer experience, reduce risk, support compliance, and incorporate AI-driven automation. Requires strong product management experience, security and DevSecOps knowledge, data-driven planning, and familiarity with cloud, application security, identity, and vulnerability management technologies.

As a Digital Product Manager, you will define and manage product strategies, collaborate with teams for product development, and utilize market research to meet customer needs while aligning with company goals.

Own the strategy, roadmap, delivery, and lifecycle of enterprise data security products. Lead data governance, discovery, classification, DLP, access governance, compliance, and secure-by-design capabilities. Manage backlogs, Agile delivery, KPIs, stakeholder communication, and risk reduction outcomes while integrating AI to improve security workflows and productivity.

Engineer and maintain enterprise network security platforms across on-premises and cloud environments. Design firewall and network security solutions, troubleshoot complex connectivity and security issues, and automate infrastructure operations using scripting, APIs, Infrastructure as Code, configuration management, and CI/CD pipelines. Support platform upgrades, vulnerability remediation, monitoring integrations, validation processes, and modernization initiatives while collaborating with network, cloud, application, and security teams.

Lead engineering for enterprise network security platforms, including firewall infrastructure, Infrastructure as Code, CI/CD pipelines, Ansible automation, APIs, and scripting. Troubleshoot complex network, cloud, and security issues; establish engineering standards; improve reliability and scalability; manage platform upgrades and vulnerability remediation; and provide technical leadership across engineering, networking, application, cloud, and security teams.

Designs, develops, deploys, and supports secure AI-powered enterprise applications and automation solutions. Builds backend services, APIs, cloud-native applications, and integrations using Generative AI, LLMs, RAG, agentic frameworks, and modern software engineering practices. Fine-tunes models, optimizes performance, manages production deployments, and contributes to architecture, documentation, Agile ceremonies, governance, security, privacy, and cross-functional delivery.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Develop and support full-stack enterprise applications for legal operations, matter management, document management, compliance, and business process automation. Build React frontends, Java and Spring Boot microservices, REST APIs, event-driven integrations, and cloud-native solutions. Work with databases, Docker, Kubernetes, Azure, AWS, CI/CD, monitoring, security, production support, and Agile delivery while collaborating with legal, compliance, product, architecture, and engineering teams.

Leads and develops software engineering teams while remaining hands-on with Java and Spring Boot development. Responsibilities include setting architecture and technical roadmaps, delivering scalable enterprise applications, guiding Agile planning, improving CI/CD and DevOps practices, supporting production reliability, mentoring talent, and partnering with product and business stakeholders. The role manages hiring, performance, succession planning, and engineering excellence initiatives.

Own the strategy, roadmap, prioritization, and adoption of an enterprise Infrastructure as Code and Engineering as Code product. Translate customer and engineering needs into capabilities, user stories, and acceptance criteria; partner with infrastructure, platform, security, and operations teams; guide technical trade-offs; and measure adoption, reuse, automation, reliability, compliance, and recovery outcomes. The role also drives Agile delivery, customer onboarding, documentation, and coaching of product management colleagues.