Allstate

Role Description The Software Engineer Consultant II implements applications following 12-factor principles to build out the product and iterative enhancements. They partner on full stack of software products; developing and implementing frontends (web or mobile), and backend services. They leverage test driven development and continuous integration to ensure agility and quality of products. They actively participate in the decision-making process of the team ensuring that the simplest appropriate technology and design is chosen to meet user needs. Key Responsibilities - Practices daily paired programming and test-driven development in writing software and building products. - Establishes continuous integration, continuous delivery, and continuous deployment pipelines and practices. - Participates in retrospectives to gather feedback and derive actionable items to improve the team and the product. - Collaborates within the team in designing systems and apps. - Provides support for software products in user environments. - Participates in knowledge sharing, and contributes to the overall growth of the collective knowledge of the team. - Participates in iteration planning meetings ensuring that the team has a common understanding of each story and chores in a team’s backlog. - Participates in daily site, cross-site, and product team standups. Experience - 2 or more years of experience (Preferred). Supervisory Responsibilities - This job does not have supervisory duties. Skills - .NET Core - Amazon Web Services (AWS) - API Development - API Management - API Programming - Backend Systems - C# Software Development - Cloud Computing - C Sharp (Programming Language) - Insurance Industry - Kubernetes - Microsoft .NET - Microsoft .NET Development - Microsoft Azure - Open API - Software Development - Web Services Compensation Base compensation offered for this role is $70,100.00 - $115,000.00 annually and is based on experience and qualifications. *** Total compensation for this role is comprised of several factors, including the base compensation outlined above, plus incentive pay (i.e., commission, bonus, etc.) as applicable for the role. Benefits - Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. - Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. - When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. - Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

Role Description The Senior Internal Audit Consultant leads key portions of risk-based audits across business operations, financial reporting, technology processes, and strategic initiatives. Working in an agile, data-driven and technology-enabled internal audit environment, this role manages assigned workstreams and moderately complex audit segments from planning and risk assessment through control testing, issue development, and reporting, with oversight from audit leadership. The Senior Consultant I serves as an important link between audit leadership, junior team members, and business and technology stakeholders, helping ensure clarity, alignment, and high-quality audit execution. This role applies audit procedures to moderately complex and selected complex audit areas with minimal guidance, contributes to scoping and story development, reviews staff work, and communicates audit results to clients in collaboration with audit leadership. The Senior Consultant I uses data analytics, automation, and generative AI-enabled tools to improve audit quality and insight generation while mentoring junior auditors and applying critical thinking to evaluate results, refine observations, and strengthen execution of moderately complex and complex audit work. Key Responsibilities - Lead assigned workstreams and moderately complex audit segments from scoping and planning through testing, issue development, and reporting, with leadership oversight. - Lead or contribute to scoping discussions, develop risk hypotheses, and help draft business stories or acceptance criteria for moderately complex audits and selected complex audit areas. - Perform or oversee walkthroughs with business and technology stakeholders to identify controls, process risks, automated processes or controls, and opportunities for improvement. - Apply audit procedures to complex business and technology controls with minimal guidance and evaluate results using fact-based conclusions. - Develop and refine control testing procedures that align to the acceptance criteria, business story, risk hypotheses, and audit scope. - Identify and evaluate alternative testing evidence and other relevant information (including data-driven sources) to support appropriate testing conclusions. - Draft, refine, and communicate audit observations and recommendations that clearly describe the issue, risk, impact, and supporting evidence, and present results to clients with oversight from audit leadership. - Use data analysis, automation, and generative AI tools to improve testing precision, increase efficiency, summarize results, and support issue development and insight generation. - Mentor junior staff on testing execution, documentation quality, stakeholder interaction, effective use of data/analytics tools, and agile ways of working, and help drive sprint progress and issue follow-up. Qualifications - Proficiency in using data analytics tools and programming languages such as Python, SQL, Power BI, or similar technologies to perform data extraction, analysis, visualization, and risk-focused testing. - Experience leveraging AI-enabled tools, including Microsoft 365 Copilot, to enhance audit planning, testing, reporting, research, and operational efficiency while maintaining appropriate governance and quality standards. - Knowledge of AI governance, responsible AI, and model risk management principles, including fairness, accountability, transparency, explainability, data privacy, and regulatory considerations. - Familiarity with evaluating risks and controls associated with AI-enabled technologies, automated decision-making processes, and emerging technology implementations. - Experience with one or more AI and data platforms (e.g., Microsoft 365 Copilot, Azure AI, OpenAI, AWS Bedrock, AWS SageMaker, Google BigQuery, Google Vertex AI, or similar technologies) is preferred. - Core professional certifications such as CPA, CISA, CIA, or CFE, or an interest in pursuing these credentials are highly encouraged. - Interest in obtaining AI, data analytics, or technology-related certifications (e.g., ISACA AI Fundamentals, AI Audit certifications, AWS/Azure AI certifications, or data analytics credentials) is considered a plus. Skills - Accounting - Audit Management - Audit Planning - Data Analysis - Internal Auditing - Internal Controls - Operational Excellence - Process Improvements - Regulatory Audits - Risk Evaluation And Mitigation Strategy (REMS) Compensation Compensation offered for this role is $65,600.00 - $110,075.00 annually and is based on experience and qualifications.

Role Description The Entry Level Internal Auditor supports an agile internal audit function in executing risk-based audits across business operations, financial reporting, technology processes, and strategic initiatives, with a focus on leveraging data analytics and emerging tools to enhance audit effectiveness. Working closely with experienced team members, this role applies audit procedures to non-complex audit areas, participates in walkthroughs and audit planning activities, and helps document controls, testing results, and observations using established templates and audit methodology. This role builds foundational knowledge of business processes, technology platforms, internal controls, and risk concepts while contributing to sprint-based audit execution. The analyst performs basic data analysis using tools such as Excel, Power BI, and other analytics software, and leverages approved AI (including large language model (LLM)) tools to support audit tasks such as summarization or documentation drafting, validating these tools’ outputs for accuracy with team input. The analyst uses critical thinking and a technology-enabled approach to understand how audit evidence supports fact-based conclusions, identify issues, and drive continuous improvement in a modern internal audit function. Qualifications - Foundational understanding of AI, machine learning, generative AI, and emerging technologies. - Exposure to data analytics concepts and tools such as Python, SQL, Power BI, or Excel. - Interest in leveraging AI (e.g., Microsoft 365 Copilot) and data analytics to enhance audit testing, risk identification, and control evaluations. - Awareness of AI governance, model risk management, data privacy, and responsible AI principles. - Strong analytical mindset with the ability to evaluate data, identify risks, and draw meaningful conclusions. - Effective verbal and written communication skills, with the ability to present complex concepts clearly to stakeholders. Requirements - Support audit sprints by executing prioritized testing activities for non-complex audit areas, with oversight on scope, timing, and deliverables. - Participate in walkthroughs, Canvas or Story Map discussions, and control identification activities to build understanding of process design, underlying systems, risks, and key controls. - Document controls, testing steps, process flows, and audit observations using standard templates and digital audit management tools. - Execute control testing by following predefined procedures and thoroughly document results ensuring completeness, accuracy, and adequate support. - Request, organize, and maintain audit evidence and workpapers in a complete and organized manner. - Perform basic data analysis using approved tools such as Excel, Power BI, or other analytics software, and apply data-driven insights to inform audit conclusions. - Use approved AI or LLM tools to support simple audit tasks such as summarization or documentation drafting, leveraging these technologies to streamline work and improve audit efficiency while validating outputs with team members. - Communicate progress, questions, and blockers during stand-ups and other team routines, and escalate issues when identified. - Participate in continuous risk assessment by monitoring changes in process, technology systems, or audit evidence and raising observations to the team. - Build foundational knowledge of Allstate's business processes, technology environment, and control structure through audit work, team feedback, and agile learning routines. - Contribute to identifying opportunities to automate or enhance audit procedures using data analytics and other technology solutions, demonstrating an innovative mindset toward improving audit effectiveness. Benefits - Compensation offered for this role is $52,800.00 - $80,475.00 annually and is based on experience and qualifications. - Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. - Monthly connectivity reimbursement for employees eligible to work from home to help offset internet costs. - Requirements for remote work include a dedicated, private workspace free from distractions, along with appropriate desk and seating. - Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

Role Description The Team: - Looking to join a strong team with a vision to build the future of transportation? - At Arity, achieving our goals requires a product manager eager to work in the trenches with the development team to solve tough problems and produce great results. - Collaboration with engineers, designers, customers, and stakeholders is essential to understand what must be done and why. - We’re looking for a dynamic new teammate who’s comfortable scoping out the use cases of a new API, providing design critique, and building out a roadmap around a new feature. - Above all, an Arity product manager should possess insatiable curiosity and attention to detail. Want to join our team? Let’s chat! The Role: - The Senior Product Manager for the Data Ingestion products manages the product vision, discovery, roadmaps, and backlog to maximize customer value. - Understand user management systems and backend system & data pipeline design extensively. - Work closely with key stakeholders and balance incoming needs from various sources. - Identify assumptions and validate them with product discovery techniques and data-driven analysis. - Actively participate in our learning culture, including mentoring and working with other members of the product team. Responsibilities - Contribute toward and drive the product strategy for our Data Ingestion product portfolio. - Use stakeholder, partner, and customer feedback and data gathering & analysis techniques to make decisions about product strategy. - Define and manage key performance metrics (KPIs) to measure the success of your products. - Invest significant time speaking with current and potential customers to understand their needs & habits. - Engage in discovery/test & learn activities to quickly validate assumptions and product direction. - Decompose complex problems with your scrum team and prioritize a backlog & roadmap. - Manage the product backlog and provide clear & timely stakeholder feedback on development iterations. - Ensure the successful execution of development standards for tight feedback loops and clear product definition. - Collaborate and coach members of the product team on conducting idea generation, consumer research, test design and execution, measurement, and product implementation and release. Qualifications - Clear passion for working with vast amounts of mobility data to deliver innovative solutions and meaningful insights. - 7-10 years of relevant experience developing and launching products in a fast-paced environment. - Entrepreneurial with a strong inclination towards taking initiative and action. - Ability to proactively anticipate problems and recognize potential solutions. - Experience operating in a metrics-driven environment. - Ability to communicate complex and innovative concepts to your development team. - Understanding of and experience working in a complex, Agile development environment. - Demonstrated ability to communicate across multiple levels of leadership. Preferred Qualifications - A background in the telematics industry and working for SaaS organizations. - Experience shipping software via an enterprise level Scrum framework. - Experience working with large scale data platforms. - Understanding of privacy and/or compliance requirements in building data products. - Experience working with data visualization tools (Tableau, Quicksight, Power BI). Benefits - Compensation offered for this role is $120,000.00 - $193,725.00 annually based on experience and qualifications. - Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. - Monthly connectivity reimbursement for employees eligible to work from home. - Flexible work environment that embraces connection and belonging.

• Design, configure, and implement SAP FS-CD solutions to support enterprise billing, collections, and accounts receivable processes. • Lead solution design and configuration for key FS-CD capabilities including: Contract Accounts Business Partners Insurance Objects Payment Processing Clearing and Allocation Rules Dunning and Collections Account Determination Refunds and Write-Offs Billing and Invoicing Processes. • Collaborate with business and technical teams to define end-to-end solutions supporting policy administration, billing, payments, and financial reporting. • Support integration design between SAP FS-CD and upstream/downstream applications using APIs and event-driven architectures. • Participate in requirements gathering, solution workshops, fit-gap analysis, design reviews, and testing activities. • Develop functional specifications and support technical teams with development, integration, and troubleshooting activities. • Partner with architecture and platform teams to ensure solutions align with enterprise integration, security, and performance standards. • Support Agile delivery teams through backlog refinement, sprint planning, solution reviews, and production readiness activities.

• Investigate and analyze moderately complex auto claims referred to the Special Investigation Unit (SIU) for potential fraud • Conduct site inspections, background research, and interviews • Evaluate findings to determine if fraud can be substantiated and support potential legal action

• Work in the field to assess vehicle damage and conduct on-site inspections • Accurately document losses and write repair estimates • Communicate clearly with customers and partners • Manage the full estimating process, including supplements and negotiations with repair facilities and other vendors

• Influences strategy through data and analytics. • Utilizes data and analytics expertise to coach and develop less experienced analysts. • Communicates and presents project information to team and provides presentations/updates to management. • Establishes, modifies, documents and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics. • Compiles, cleans, organizes and analyzes moderately complex data to understand business results. • Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management. • Makes the business insights derived from data analytics accessible to those without technical skills. • Provides technical expertise in advanced Power BI dashboard development, including building and enhancing line-of-business reporting for Claims and expanding analytical insights across existing projects. • Partners with stakeholders to present findings, articulate reporting products, and translate technical insights into clear business recommendations.

• Support the onboarding process for candidates interested in joining GHRN • Engage with candidates through proactive follow-up outreach • Respond to inbound inquiries from individuals seeking information or assistance • Guide qualified gig-work candidates through the onboarding journey • Assess candidate roadside assistance tools and equipment • Coordinate and schedule skills validation appointments

• Investigate and confirm facts of loss for complex automobile accidents • Determine coverage, liability, damages and adjust claims • Mentor junior employees • Review and evaluate moderate to complex injury claims