Allstate

Product Manager

• Contribute to the creation and evolution of product strategy for one or more products and experimental initiatives, with a focus on emerging AI capabilities
• Apply user‑centered design practices, including customer journey mapping, to gather insights and incorporate user feedback into product concepts and iterations (or demonstrate a strong willingness to learn and adopt these approaches).
• Design and run evaluation frameworks to measure product reliability, performance accuracy, security, cost efficiency, and regression robustness across feature enhancements and runtime environments.
• Apply structured thinking to understand the “why” behind decisions, including framing build‑versus‑buy analyses and using KPIs to guide direction.
• Measure success through team outcomes and customer satisfaction.
• Use customer feedback, market analysis, and data insights to inform product direction, investment decisions, and prioritization.
• Apply lean product concepts to validate assumptions quickly, fail fast, and deliver simple, effective designs.
• Define and track meaningful metrics to guide future product decisions.
• Translate complex technical topics into small, independent, testable user stories.
• Drive aligned features and experiences across multiple products, ensuring consistency and seamless end‑to‑end user journeys.
• Lead and participate in discovery and test‑and‑learn activities, rapidly validating assumptions, evaluating AI‑enabled solutions, and adjusting product direction based on findings

AI Product Manager

Account Manager

• Utilize pipeline management software to manage accounts, increase employee utilization, drive effective marketing efforts
• Develop solid partnerships with HR teams and broker contacts
• Monitor client and broker satisfaction through internal benchmarks
• Follow up with clients, ability to multi-task and manage conflicting priorities without impacting deadlines
• Attend Onsite and offsite client meetings and benefit fairs with current or prospective clients; travel required throughout year and during open enrollment
• Serve as the strategic point of contact after the sales and implementation process is complete

Regional Account Manager – Voluntary Benefits, B2B2C

Product Designer

• Aiding in or leading the development and implementation of complex consulting projects.
• Representing the business area in strategic planning activities.
• Consulting with clients to identify business needs.

First Party Casualty Design Lead Consultant

Platform Engineer

• Serve as a trusted consultant to engineering teams and organizations, guiding secure platform design and implementation across diverse product domains
• Communicate clearly and effectively ensuring business and engineering needs are met
• Foster effective collaborative sessions with teams from different disciplines and leadership levels
• Embed secure-by-design principles and deep threat modeling practices into the development lifecycle, ensuring security is foundational—not bolted on
• Define and communicate Allstate’s security posture clearly to technical and business leadership, enabling informed decision-making
• Lead the ideation and implementation of innovative security controls that challenge the status quo and elevate Allstate’s embedded security maturity
• Drive forward engineering practices that adapt to evolving technologies, enabling scalable, resilient, and efficient platforms
• Mentor engineers and platform consultants in systems thinking, reusable design, and outcome-based delivery
• Influence cross-functional teams through Discovery & Framing sessions, architectural reviews, and strategic planning
• Promote and enforce architectural standards, simplification, and reuse across the enterprise
• Actively participate in agile ceremonies and foster a culture of continuous learning and iterative delivery

Lead Platform Engineer

• Define, drive, and own the product portfolio strategy, vision, and roadmap, ensuring partnership with Principal Engineers and Principal Platform Consultants
• Manage the entire product portfolio lifecycle from ideation to launch, ensuring timely delivery and continuous iteration based on user feedback
• Leverage data analytics and user research to identify opportunities for product enhancements and new capability & feature development
• Tirelessly advocate for simplification within and across consumer journeys
• Drive delivery acceleration through reuse of capabilities and smarter, simpler ways to achieve outcomes on a consistent basis
• Evangelize product capabilities and seek additional use cases for broader applicability across business areas and new business ventures
• Collaborate with key stakeholders to define business requirements, success metrics, and key performance indicators (KPIs)
• Advocate for a customer-centric approach by deeply understanding user needs, pain points, and behaviors
• Influence digital product strategy & backlogs across business areas in support of strategic priorities
• Cultivate strategic mindset within AOR Digital Product Managers, empowering product teams to independently make decisions through a strategic lens

Principal Digital Product Manager

Security Engineer

• Design, build, and operate enterprise security controls as software products
• Own security control capabilities end-to-end, including architecture, implementation, deployment, and ongoing operational support
• Write, test, and maintain high-quality production code
• Apply engineering best practices such as test-driven development, paired programming, and continuous integration and deployment
• Collaborate closely with product managers, platform teams, and partner engineering groups

Product Security Engineer, Multiple Levels

Full-stack Engineer

• Design, build, and operate cloud ‑ native security controls as software products across cloud infrastructure, data platforms, and application services
• Engineer and maintain cloud security posture management (CSPM) and data loss prevention (DLP) capabilities to continuously detect, assess, and reduce risk in cloud environments
• Build preventative, detective, and responsive security controls that integrate directly into cloud platforms, CI/CD pipelines, and shared enterprise services
• Integrate cloud security controls with SIEM and security tooling to generate high ‑ quality signals for detection, investigation, and incident response
• Support incident handling and response by engineering detection logic, automation, and response mechanisms that improve containment and recovery
• Apply modern cloud and software engineering practices (e.g., infrastructure as code, automated testing, CI/CD) to ensure security controls are reliable, scalable, and maintainable
• Collaborate with platform engineers, application teams, and Digital Product Managers to align cloud security controls with architectures and developer workflows

Product Engineer – Cloud, Multiple Levels

Database Administrator

• Administer, monitor, and maintain MS SQL Server and MongoDB or Oracle or PostgreSQL databases
• Implement data backup and recovery strategies to ensure data integrity and availability
• Optimize database performance and troubleshoot issues as they arise
• Enforce database security measures to safeguard sensitive data
• Implement and manage user access and roles to ensure compliance with security policies
• Work with development teams to design and implement database solutions that support application requirements
• Collaborate with IT teams in managing database changes and upgrades
• Set up and utilize monitoring tools to track database performance and address bottlenecks
• Generate reports on system performance, availability, and other relevant metrics
• Perform routine database maintenance tasks, including patching and updates for both MS SQL Server and MongoDB or Oracle or PostgreSQL
• Evaluate and recommend improvements for database architecture and software tools.

Senior Database Administrator, SQL

Consultant

• Lead hands-on process mapping, analysis, and redesign using tools such as Mural and Microsoft Visio
• Analyze current-state workflows to identify inefficiencies, data gaps, risks, and opportunities for improvement
• Design and document future-state processes aligned to business goals and data capabilities
• Apply Lean and/or Six Sigma principles to improve operational efficiency and effectiveness
• Support digital transformation and automation initiatives through process and data-driven analysis
• Partner closely with stakeholders to gather, clarify, and document business and process requirements
• Manipulate and analyze data (especially in Excel) to uncover insights and validate process improvements
• Define, monitor, and interpret key performance indicators (KPIs) to measure success
• Present findings and recommendations in a clear, compelling way to both technical and non-technical audiences

Senior Business Analysis Consultant

Data Scientist

• Utilize data analytics tools to support the design and implementation of claim fraud detection and prevention initiatives.
• Compiles, cleans, organizes and analyzes complex data to understand fraud results.
• Develop and maintain comprehensive data models to identify fraud patterns and trends.
• Pilot technical solutions to enhance both operational and data analysis capabilities for fraud detection and prevention.
• Collaborate with internal partners such as IT, Legal, Compliance, and Claims to ensure alignment and effective fraud mitigation solutions.
• Design and operate reports to measure the effectiveness and loss cost containment of fraud mitigation tools, processes, and initiatives.
• Build automated self-service reports to track referrals, assignments, performance metrics, and outcomes of claim fraud.
• Develop a consistent communication strategy to keep all stakeholders informed and engaged.
• Develop and maintain strong relationships with key departments to foster a culture of transparency and trust.
• Ensure timely and effective communication with all relevant parties during fraud investigations.

Fraud Data & Analytics Lead Consultant

Manager

• Improve the speed and quality of leadership decision-making during high-impact events through consistent situational awareness, clear escalation, and disciplined briefings.
• Increase enterprise readiness by institutionalizing training, exercises, and lessons-learned closure (not just running events).
• Establish measurable program health: activation readiness, notification performance, exercise coverage, and corrective-action closure rates.
• Strengthen cross-enterprise coordination so Crisis Management operates as an integrated capability with cyber, technology, continuity, and risk partners.
• Lead strategy, governance, and continuous maturation of the enterprise Crisis & Incident Management program.
• Strengthen the “bridge” between incidents and crises by improving escalation thresholds, operating rhythms, and executive engagement models.
• Define and report program outcome KPIs and metrics that reflect enterprise readiness and risk posture (e.g., time-to-notify, time-to-convene, decision cadence, action closure).
• Serve as a trusted advisor to senior leaders and crisis sponsors; support high-stakes decision-making during elevated and critical events.
• Produce executive-ready materials (briefings, updates, governance reporting) that enable consistent, informed decisions.
• Design and deliver enterprise exercises (tabletops, simulations, functional drills) to validate readiness and strengthen leader muscle memory.
• Establish an after-action discipline that drives measurable improvements and reduces repeat issues.
• Drive adoption and continuous improvement of crisis management tooling and workflows (e.g., crisis management platforms; emergency notification systems).
• Ensure the crisis function supports a shared operating picture and structured incident management approach (virtual EOC concepts and role clarity consistent with incident management best practice).
• Build durable partnerships across Technology, Cybersecurity, Risk, Legal, Communications, Physical Security, Business Continuity, Disaster Recovery, and Supplier/Third-Party teams to improve coordinated response and recovery.
• Align regionally (e.g., Canada/UK/India/MX) to drive enterprise consistency while respecting local operating needs.
• Lead, mentor, and develop a team; building a culture of clarity, accountability, and continuous improvement.

Senior Manager, Enterprise Crisis and Incident Management

Attorney

• Manage all aspects of insurance defense litigation from case inception to verdict
• Investigate and pursue subrogation litigation and SUI as appropriate
• Gather and organize documents, evidence, and legal research for cases
• Conduct legal research on relevant laws, prepare summaries and reports
• Prepare and draft pleadings, motions, and discovery responses
• Attend court hearings, depositions, and other legal proceedings
• Monitor changes in laws and regulations for potential impacts to ongoing cases
• Provide legal opinions to claims clients

Early Career Subrogation Trial Attorney

Claims Specialist

• Investigating basic and occasionally moderately complex auto insurance claims.
• Evaluating coverage, determining liability, and negotiating settlements.
• Working directly with claimants, insureds, and other involved parties to ensure timely, accurate, and customer-focused claim resolution.
• Ensuring compliance with all regulatory requirements and company standards throughout the claim lifecycle.
• Preparing clear, concise claim summaries.
• Conducting recorded statements with claimants, insureds, and witnesses.
• Maintaining detailed and well-documented claim files, including notes, summaries, and decision rationale.
• Collaborating with internal teams to support efficient and customer-centric claim handling.

Inside Auto Claims Adjuster

• Responsible for leading the use of data to make decisions.
• Development and execution of new machine learning predictive modeling algorithms.
• Coding/development of tools that use machine learning/predictive modeling to make business decisions.
• Searching for and integrating new data that improves our modeling and machine learning results.
• Discovery of solutions to business problems that can be solved through machine learning/predictive modeling.
• Manage projects of medium complexity and partner directly with business partners.

Senior Data Scientist, Consultant

• Serve as the primary risk partner and advisor to senior business and technology leaders.
• Develop and maintain a consolidated risk profile that connects disparate risk signals into a coherent narrative.
• Influence strategy, investment decisions, and delivery roadmaps regarding risk considerations.
• Provide cybersecurity risk leadership for enterprise platforms.
• Maintain hands‑on cybersecurity expertise and serve as the primary cybersecurity risk authority.
• Lead high-impact cyber risk discussions with technology teams.
• Translate high-severity cybersecurity findings into clear business impact for senior leaders.
• Operate as a second line of defense function, providing independent oversight and guidance.