Jobs at Allstate

Lead definition, discovery, and lifecycle management of developer-focused products and tools that standardize code, enable AI-driven developer experiences, and improve reliability, performance, and cost. Drive product strategy, roadmaps, KPI measurement, discovery experiments, and go‑to‑market plans while translating technical concepts into testable user stories and aligning cross-product experiences.

Own product strategy, roadmap, and delivery for Network Connectivity capabilities. Partner with engineering and stakeholders to research, design, launch, and monitor network and cloud networking products (LAN/WAN/WLAN, SD-WAN, VPN, SASE). Manage backlog with Agile tools, track performance metrics, gather customer feedback, and oversee budgets. Mentor others and lead strategy for expert-level roles.

Design, build, test, deploy, and support enterprise data solutions for financial reporting, reserving, and claims. Develop and maintain pipelines, transformations, data models, and controls using SQL, Python, PySpark, and Microsoft Fabric. Automate reconciliations and data quality checks, partner with business stakeholders, perform testing, review code, mentor peers, and resolve production issues to improve reporting accuracy and operational efficiency.

Lead process mapping, analysis, and redesign to improve efficiency and outcomes. Partner with stakeholders to gather requirements, analyze data (SQL, Excel, Power BI), define KPIs, apply Lean/Six Sigma methods, and support automation and digital transformation initiatives to drive growth, profitability, and loss reduction.

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.

Define architecture patterns, integration standards, and platform strategy across AI, security data, and tooling. Ensure AI-ready data, safe AI controls, unified tool integrations, and paved-road reusable solutions. Lead build vs buy decisions, drive standardization, mentor engineering teams, and partner cross-functionally to enable scalable, secure Security Operations platforms.

Build and operate automated adversarial testing pipelines to continuously validate exploitability and remediation. Integrate adversarial testing into CI/CD and enterprise workflows, automate attack path validation, partner with exposure intelligence and response teams, and scale penetration testing coverage.

Identify and prioritize data-layer exposure across RDBMS, NoSQL, object storage, and data warehouses. Correlate signals into exploitability-focused exposure narratives, identify attack paths to data access, and provide remediation guidance. Partner with data platform teams to reduce permissions issues, stale entitlements, and misconfigurations while tracking closure outcomes.

Lead process mining and improvement projects across business areas, develop dashboards and analyses (e.g., Celonis), apply industrial engineering practices, identify root causes, translate functional requirements to technical solutions, and drive customer experience optimizations.

Lead and manage risk-based audit workstreams from scoping through testing, issue development, and reporting. Perform control walkthroughs and data-driven testing, apply audit procedures to complex business and technology controls, and draft clear observations. Use data analytics, automation, and generative AI tools to improve audit quality. Mentor junior staff and collaborate with stakeholders to drive audit execution and insight generation.

Design, build, and integrate AI-enabled applications using C#/.NET and Azure. Develop data ingestion, transformation, and automation pipelines for structured and unstructured data. Implement and optimize LLM/Generative AI solutions, build APIs, and support end-to-end delivery from design through production handoff while partnering with business stakeholders.

Senior security consultant role driving adoption of secure-by-design and threat modeling across platforms. Lead threat modeling engagements, influence architecture, embed security into CI/CD and development lifecycles, mentor engineers, and collaborate with Product Security, Security Operations, and Architecture teams to improve detection, resilience, and platform security posture.

Lead hands-on administration and optimization of enterprise database platforms (SQL Server, MongoDB, MySQL/MariaDB, PostgreSQL). Manage installs, upgrades, HA/DR, performance tuning, security, automation, monitoring, and capacity planning. Drive incident resolution, cloud modernization efforts, and mentor teams on database best practices.

Designs, implements, and runs Java Spring Boot microservices and REST APIs; leads design, CI/CD, TDD, performance tuning, security, and cross-product collaboration. Coaches teams and owns product KPIs and production support.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The P&C Actuary Senior Consultant II executes and manages reserving projects, utilizing statistical standards and methodologies to inform insurance business decisions and strategies, mentoring others along the way.

Lead actuarial reserving projects, perform complex reserve analyses using actuarial and statistical methods, evaluate reserve adequacy and trends, produce reserve narratives, advise leadership and business partners, ensure data quality, and mentor junior actuarial staff.

The Senior Consultant manages the flood insurance product's financial health, analyzes data for recommendations, collaborates on initiatives, and executes strategies to achieve growth and profitability.

Lead product vision, roadmap, and delivery for cybersecurity and compliance products. Drive discovery, stakeholder engagement, Agile delivery, controls automation, metrics, and risk reduction across security platforms and engineering teams.

Lead the transformation of FinOps into an engineering-integrated product capability. Act as product owner for FinOps capabilities, enable teams to understand and optimize cloud costs, deliver cost attribution, forecasting, optimization recommendations, AI cost governance, and link product-level business outcomes through cross-functional collaboration with Engineering, Cloud, Finance, and Data teams.