Allstate

Attorney

• Manage all aspects of insurance defense litigation from case inception to verdict
• Gather and organize documents, evidence, and legal research for cases
• Conduct legal research on relevant laws, regulations, and case precedents
• Prepare and draft pleadings, motions, discovery responses, and other legal documents
• Interview clients and witnesses, maintaining communication records
• Attend court hearings, depositions, and other legal proceedings
• Monitor changes in laws and regulations and assist in updating the legal team
• Participate in training sessions and mentorship programs

Early Career Trial Attorney

Program Manager

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Claims Project & Program Management Lead Consultant

Analyst

• Serve as the primary technical escalation point for complex incidents across Storage, UNIX, and Backup technology stacks, providing expert guidance to junior analysts
• Lead incident response during critical outages, coordinating actions across team members and engineering partners to drive rapid resolution
• Coach and mentor Service Analyst I team members, providing technical guidance and supporting career development
• Develop and maintain deep technical expertise across multiple infrastructure domains
• Drive knowledge sharing across the NOC team through documentation, SOPs, and active participation in training and development sessions
• Lead by example in proactive monitoring and rapid response to alerts across multiple technology stacks, consistently achieving strong Mean Time to Acknowledge (MTTA) and Mean Time to Resolve (MTTR) metrics
• Champion 'Zero Wait' principles in incident response, taking immediate and decisive action on Emergency Command Center (ECC) calls without waiting to be prompted
• Critically evaluate and improve Standard Operating Procedures (SOPs) while identifying strategic opportunities to enhance processes and automate complex tasks
• Lead shift turnover meetings to ensure seamless 24/7 operational coverage and comprehensive knowledge transfer
• Actively contribute to and help prioritize the Service Improvement Backlog (SIB) with strategic ideas that substantially enhance service delivery and eliminate customer friction points
• Provide advanced Level 2 support for enterprise infrastructure systems including Storage SAN, NAS and OBS (Brocade, Hitachi, Pure, Scality, Cisco MDS), Linux (RedHat), and Backup (Rubrik) technologies, with minimal escalation required for common and moderately complex issues
• Design and execute incident remediation strategies for both documented and novel problems, applying advanced technical judgment in complex or ambiguous scenarios
• Lead post-incident Retrospective reviews and problem management activities, driving root cause analysis and implementing preventive measures against recurring issues
• Partner closely with engineering teams to implement and validate system changes, providing strong operational perspective and ensuring readiness for production
• Apply advanced techniques with monitoring tools including Netcool, Tivoli, Prism Element / Central, Datadog, and Azure Data Explorer (ADX) to proactively identify, diagnose, and prevent system issues
• Analyze complex incident patterns and trends to architect automation solutions that reduce manual intervention and improve service outcomes
• Develop comprehensive knowledge base strategies and ensure knowledge artifacts meet high quality standards for accuracy and usability across the NOC team
• Present at service reviews and demo sessions with technology partners, showcasing NOC operational improvements and contributions
• Drive the team's KPI improvements through technical expertise, process optimization, and a continuous improvement mindset
• Lead significant contributions to the NOC automation pipeline by identifying, designing, and advocating for automation solutions that improve service delivery

Service Analyst II

Risk

• Lead and execute the enterprise-wide model and AI risk management strategy, coordinating cross-functional risk initiatives and health checks.
• Drive the implementation and enhancement of model and AI governance frameworks, controls, and standards across 1st and 2nd line teams.
• Embed model and AI governance controls across 1st and 2nd line, including the proactive identification and tracking of models and AI use cases as they are deployed or modified across the organization.
• Provide independent model validation, performance monitoring, effective challenge, and remediation oversight in alignment with regulatory expectations (e.g., OSFI E‑23 ).
• Conduct targeted model and AI risk assessments and synthesize cross-theme insights and enterprise-wide solutions.
• Coordinate the implementation of Generative AI and broader AI deployment requirements across the enterprise.
• Maintain governance documentation, validation reports, model inventories, and related controls required for regulatory and audit readiness.
• Support regulatory reviews, internal audits, and examinations related to model and AI governance, ensuring compliance and strong evidence of controls.
• Partner with Business Unit CROs, leaders, model stewards and developers to integrate 1st line controls and capabilities into enterprise model risk management.
• Develop and deliver dashboards, metrics, and management reporting (e.g., Power BI) to communicate model and AI risk insights to senior leadership.
• Provide training, risk education, and capability-building within the enterprise risk & return team and across business units.

Risk Modeling Lead Consultant

• Provides entry-level support in the form of research and analytics
• Works closely with managers on research assignments of low complexity
• Responsible for utilizing established procedures and best practices for calculating exposure and validating models
• Forecasts short-term and long-term deliverables with assistance
• Integrates and analyzes data from multiple sources to reach conclusions and make recommendations
• Plans, implements, manages, and/or contributes on projects that are of low complexity and small to moderate scale
• Understands and interprets technical documentation for models/perils
• Adheres to internal and external compliance requirements/standards
• Calculates personal and/or commercial lines property exposure data and validates the results from commercial catastrophe modeling software

Catastrophe Modeling Analyst

Claims Specialist

• Handles basic investigation regarding most aspects of auto claims (coverage, liability and damages)
• Identifies customer needs and works to meet those needs using appropriate customer service skills
• Applies a basic understanding of systems and technology used within the company
• Partners to determine subrogation or fraud potential and how to handle
• Exhibits basic understanding of insurance policies written by the company, the industry, and organizational relationships within the company and department
• Begins recognizing and identifying body parts of a vehicle and other potential property damage

Claims Adjuster – Trainee

General Counsel

• Provide real time, business-focused commercial legal advice on commercial contracts, including non-disclosure agreements, marketing agreements, SaaS and other technology agreements.
• Effectively collaborate with cross-functional teams such as Finance, Facilities, Risk and Compliance, Privacy, Security, IT, HR, and within Legal to identify and solve problems, build partnerships, and complete commercial transactions.
• Contribute to the development of templates, playbooks, and process improvements to support efficient contract review and negotiation.

Lead Counsel, Strategic & Commercial Transactions

DevOps Engineer

• Lead the design, build, and operation of cloud infrastructure supporting ML experimentation, training, and production deployments
• Define technical direction and best practices for ML platforms, MLOps, reliability, and cloud infrastructure
• Architect ML platforms for high availability, fault tolerance, and resiliency across supported environments
• Build and oversee CI/CD pipelines and automation for infrastructure and ML workflows
• Champion MLOps best practices including model versioning, validation, promotion, monitoring, and rollback strategies
• Mentor engineers through design reviews, code reviews, and hands-on technical leadership

Cloud Platform Lead Engineer – ML DevOps

• Designs, builds, and maintains infrastructure for ML experimentation, model training, and deployment.
• Develops and manages CI/CD pipelines for ML workflows (data ingestion, model training, testing, and deployment).
• Implements and manages ML platforms (e.g., Azure MLStudio, Fabric, MLflow, Kubeflow, SageMaker, Vertex AI) to support reproducibility and scalability.
• Creates tools and environments to automate data versioning, model tracking, and artifact management.
• Collaborates with data scientists to enable self-service access to compute resources and production systems.
• Monitors, logs, and alerts on ML system health and model performance in production.
• Enforces MLOps best practices across teams, including governance, model validation, and rollback strategies.
• Ensures infrastructure security, cost-efficiency, and compliance.
• Practices daily paired programming and test-driven development in writing software and building product.
• Participates in executing the strategy, keeping the customer needs and wants in mind.

Cloud Platform Engineer – ML DevOps

Consultant

• Investigating and analyzing moderately complex, single-discipline coverage and claims referred to the Special Investigation Unit (SIU)
• Conducting detailed investigations, performing background searches, taking recorded statements, interviewing witnesses, and reviewing social media activity
• Evaluating whether fraud can be substantiated and supporting litigation when appropriate
• Summarizing documents and maintaining accurate claim files with notes, evaluations, and decisions
• Addressing moderately complex customer concerns and inquiries
• Reviewing investigation findings to determine if fraud denial is warranted
• Conducting thorough investigations, including background checks, and scene inspections
• Utilizing analytical tools to identify and validate fraud indicators
• Managing vendor relationships and monitoring performance
• Making informed decisions on claims and pursuing restitution when necessary
• Entering claim data into SIU systems and updating files with investigation outcomes
• Returning the file to the market claims office for continued handling and settlement when fraud is not substantiated or evidence is insufficient.

Investigation Adjuster Consultant

• Conduct research and analysis on complex transactions
• Lead and supervise staff in reviewing tax adjustments
• Maintain knowledge of federal tax law developments
• Review and support accurate preparation of tax accounting
• Train, mentor, and coach staff for professional growth

Associate Tax Manager

Product Manager

• Own and communicate the unified product vision across API, event-driven, and TIBCO integration platforms, ensuring alignment with enterprise needs
• Lead product strategy, roadmap planning, and prioritization, balancing new capabilities with technical debt, modernization, and lifecycle management
• Drive platform-level KPIs (adoption, performance, resiliency, developer experience, operational excellence) and leverage data for decision-making
• Provide leadership and coaching to Digital Product Managers, setting standards for backlog management, story refinement, KPI development, and agile practices
• Establish governance, best practices, and operating models for integration product management across teams
• Apply deep integration domain expertise across APIs, event-driven architectures, messaging, TIBCO platforms, and integration security/governance to design scalable, reusable services
• Oversee delivery execution across multiple backlogs, ensuring iterative delivery, platform readiness, quality, compliance, and operational stability
• Partner with cross-functional leaders (engineering, security, architecture, business) to align sequencing, acceptance criteria, and value realization
• Communicate progress, risks, and strategic direction to senior leadership and key business partners, influencing outcomes and decisions

Lead Digital Product Manager

Data Engineer

• Build test scripts and execute testing
• Collaborate with data scientists and business partners
• Develop and deliver data infrastructure
• Participate in the development of proof of concept designs

Data Analyst

• Leverage data and analytics to influence business strategy
• Develop standards of practice for data retrieval and reporting
• Compile, clean, and analyze complex data using various tools

• Develop and articulate a long-term hosting strategy for microservices across multi-cloud environments.
• Define product vision, roadmap, priorities, and success measures for application hosting capabilities.
• Align hosting strategy with enterprise modernization, cloud transformation, and platform engineering initiatives.
• Lead the evolution of core hosting components such as container platforms, orchestration, service mesh, networking, autoscaling, observability, and release governance.
• Identify and prioritize enhancements to support workload efficiency, resiliency, security, and cost optimization.
• Partner with engineering teams to ensure hosting capabilities meet developer and operational needs.
• Author, refine, and prioritize stories and epics focused on delivering incremental value to platform consumers.
• Define and track KPIs such as deployment speed, platform reliability, customer adoption, and hosting cost effectiveness.
• Conduct discovery, backlog refinement, and agile ceremonies to support continuous value delivery.
• Partner with cloud architects, security leaders, infrastructure engineering, and application teams to ensure hosting capabilities align with technical and business requirements.
• Work with developer experience teams to enhance documentation, onboarding, and self-service workflows.
• Communicate product vision, roadmap progress, risks, and adoption plans to leadership and partner teams.