Jobs at Allstate

Provide strategic HR partnership to senior leaders across an Area of Responsibility, delivering organization design, workforce planning, succession, compensation, engagement, and change-management initiatives. Use analytics and storytelling to align talent strategies to business outcomes, lead complex cross-functional programs, and influence executive decision-making to drive organizational effectiveness and growth.

Support financial, operational, and compliance audits by assisting risk assessment, process analysis, internal control evaluation, and audit execution. Use data analytics, automation, and generative AI tools, collaborate with stakeholders, operate in an Agile audit environment, and travel up to 15% as needed.

Lead design and build of AI-powered observability and AIOps platforms: agentic AI agents, predictive insights, automated remediation, integrations with observability tools, developer-first tooling, cloud-native scalable services, and end-to-end automation across hybrid environments. Serve as technical lead, define enterprise architecture, drive CI/CD and IaC practices, mentor engineers, and collaborate with cross-functional teams to improve reliability and incident response.

Lead product vision, discovery, and roadmap for one or more digital products. Use customer research, market analysis, and data to prioritize backlog, run test-and-learn experiments, define success metrics, and coordinate go-to-market. Mentor cross-functional teams and represent the voice of the customer throughout the product lifecycle.

Lead and conduct complex cyber and technology risk assessments, model attack paths using MITRE ATT&CK, evaluate control effectiveness, and deliver clear remediation recommendations. Advise stakeholders and senior leadership, monitor emerging threats and regulations, support risk framework design and continuous improvement, and collaborate cross-functionally to strengthen technology risk posture.

Operate and scale the Continuous Threat Exposure Management (CTEM) platform: manage integrations, data ingestion and normalization, dashboards, RBAC and automation; correlate findings into exposure intelligence; build workflows and reporting; drive adoption and remediation orchestration across security and engineering teams.

Identify and prioritize cloud exposure risks across AWS, Azure, and GCP by correlating vulnerability and posture signals, mapping attack paths (IAM, control planes, data access), providing remediation guidance, validating fixes with platform teams, and using scripting and telemetry to improve prioritization and reduce exploitable cloud exposures.

Identify, analyze, and prioritize exploitable infrastructure exposures across servers, virtualization, containers, and Kubernetes. Correlate telemetry to map attack paths, produce remediation guidance, validate fixes with platform teams, and accelerate mitigation using scripting and AI‑assisted analysis.

Identify and prioritize endpoint and identity exposure risks (EDR, AD/Entra, PAM, MFA), map attacker paths, produce remediation plans, validate fixes, and partner with IAM and endpoint teams to reduce exploitability and improve posture.

Design and implement AI-powered data pipelines and LLM-based mapping to parse, normalize, and validate structured and unstructured data. Build mapping logic, ingestion templates, and load-ready outputs; integrate ML/AI solutions with enterprise systems (APIs, databases, Azure); validate accuracy with stakeholders; document for scalability and production readiness while reducing manual mapping and improving data quality.

Hands-on platform engineering lead supporting platform modernization, API integrations, Azure migrations, DevOps readiness, data migration (PHI/PII aware), risk identification, and technical documentation while coordinating cross-functional teams.

The role provides strategic legal counsel on AI governance, technology risk, compliance, and privacy, engaging with technology and compliance teams on various business initiatives.

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.

Build and enhance full‑stack cloud-native applications using Java/Spring and JavaScript/React. Own the full SDLC, apply TDD and CI/CD, troubleshoot production issues, mentor junior engineers, and drive technical direction as experience increases from contributor to Lead.

The Cloud Platform Engineer Expert at Allstate is responsible for developing, managing, and operating cloud platforms. This role involves automating infrastructure, implementing engineering practices, and mentoring team members while ensuring SLAs are met.

Serve as a senior security-focused platform consultant advising engineering teams on secure-by-design platform architecture, threat modeling, Zero Trust, and scalable cloud-native microservices. Drive adoption of DevOps/Agile best practices, CI/CD security, API-first design, mentorship, and cross-functional governance to improve platform reliability, performance, and security posture.

Lead cross-functional coordination and execution for countrywide Homeowners product launches, rate changes, and compliance mandates. Maintain automated SharePoint intake, run and scale Excel and Power BI reporting, facilitate large stakeholder meetings, monitor product performance, and remove operational friction to ensure timely rollouts.

Administer Adobe Creative Cloud licensing, Admin Console, and user provisioning. Provide day-to-day support and troubleshooting for Creative Cloud apps. Support Microsoft Copilot and Power Platform administration, governance, and user enablement. Partner with security/compliance on generative AI and content protection policies, manage deployments and identity integration, monitor service health, create runbooks and documentation, and deliver training and support.

The Vended Application Lead Consultant designs, manages, and operates cloud applications, focusing on automation and infrastructure. Responsibilities include troubleshooting, enhancing operational efficiency, leading engineering practices, and mentoring team members to improve software solutions.

Lead a team to deliver data solutions that support analytics and data science; manage cloud-based big data systems and implement advanced data processing pipelines.