Jobs at Allstate

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Design, deploy, secure, automate, and operate enterprise MongoDB platforms across on-premises infrastructure and MongoDB Atlas. Responsibilities include replica sets, sharding, high availability, disaster recovery, backup and recovery, performance tuning, monitoring, security controls, migrations, incident response, and lifecycle management. The role partners with application, cloud, infrastructure, security, and SRE teams; develops operational standards and automation; supports mission-critical environments; and provides technical leadership and mentorship.

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.

Serve as a bridge between strategy and operations to translate enterprise priorities into measurable OKRs and executable plans. Drive cross-functional alignment, coordinate ATS domain activities, support senior leadership reporting and decision-making, mature the ATS operating model, and feed operational insights back into strategic planning.

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.

Leads strategy and execution for enterprise Customer Identity and Access Management capabilities. Owns multi-year product strategy, roadmaps, KPIs, adoption, platform stability, risk, and compliance. Manages and develops Digital Product Managers while partnering with Engineering, UX, Data, Operations, and business leaders to deliver integrated customer journeys and measurable outcomes. The role requires senior stakeholder influence, cross-functional leadership, and experience operating in regulated enterprise environments.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Provides enterprise-level platform consulting, solution design, technical architecture, and strategic direction for insurance pricing and underwriting data and analytics needs. Aligns product designs with enterprise standards, influences technology roadmaps, facilitates discovery and risk analysis, and bridges business and technical leadership. Acts as a subject-matter expert and mentor to platform consultants, guides engineering practices, evaluates emerging technologies, and drives consistency and measurable business outcomes across the organization.

Develop and support the Fusion Governance, Risk, and Compliance platform, including workflows, dashboards, assessments, integrations, data migrations, and enterprise application enhancements. Translate business requirements into technical solutions, troubleshoot platform and integration issues, support deployments and upgrades, and maintain secure, reliable production systems. Collaborate with product managers, architects, analysts, vendors, and business partners while supporting risk, compliance, audit, internal controls, and third-party risk programs.

Own the vision, roadmap, and delivery of AI-enabled finance technology products. Translate finance and accounting challenges into scalable digital solutions using data, cloud, analytics, automation, and AI. Partner with senior stakeholders to prioritize outcomes, lead cross-functional delivery, monitor product performance, and improve adoption, usability, anomaly detection, insight generation, and data-driven financial decision-making.

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.

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Leads architecture, design, development, testing, deployment, monitoring, and production ownership for complex software products. Guides engineering practices including TDD, pair programming, CI/CD, microservices, and distributed systems. Provides technical leadership across product teams, facilitates Agile ceremonies, resolves technical issues, and manages medium to large engineering teams. Advises direct reports on priorities, risks, budgets, administrative policies, and sourcing decisions while driving KPI achievement.

Leads enterprise data architecture strategy, modernization, and implementation across cloud data platforms, data lakes, lakehouses, warehouses, analytics, and AI environments. Designs secure, scalable data models, ingestion and integration patterns, and cloud-native architectures. Builds prototypes, evaluates emerging technologies, guides engineering teams, and drives adoption of strategic data products. Partners with executives, business stakeholders, architects, security, and delivery teams to establish enterprise data practices and architectural direction.

Performs property and casualty insurance reserving projects using actuarial, statistical, and predictive modeling techniques. Reviews data quality, develops moderately complex reserving methodologies, manages project contributions, documents analyses, communicates findings to technical and nontechnical stakeholders, and recommends assumptions and methodologies. The role requires a bachelor’s degree and active pursuit of Casualty Actuarial Society examinations.