American Family Insurance

Actuary

• Lead a team that supports the on-leveling of personal lines insurance premiums.
• Build reports based on re-rated premium data to help assess rating plan performance.
• Build data pipelines and processes to support the analysis of loss cost models provided by modeling partners.
• Report to a director, actuary.
• Create a collaborative, performance-driven work environment by facilitating and fostering trust, transparency, and inclusion.
• Work with team members to set clear goals, provide feedback, perform performance assessments, and support on-going development.
• Actively contribute to division or department leadership team.
• Communicate and support organization mission, vision, values, policies, and practices.
• Oversee the use of various predictive modeling tools to produce various analysis and insights.
• Manage and oversee on-going product and model maintenance.
• Provide input and expert advice to help establish the pricing strategy for the line of business; assist in the communication of pricing strategies to business partners.
• Oversee product pricing development (from model development through business rule development).
• Manage and oversee rate making process (indication development, rate methodology, rate plan review, rate implementation).
• Manage the relationship with core business partners and assist prioritization of pricing efforts across states and regions.
• Develop and book the property and casualty loss and loss adjustment expense reserve needs on a quarterly basis in accordance with actuarial standards of practice.

Senior Manager, Actuary

Application Engineer

• Collaborate with others in the division to provide and maintain applications to meet our needs
• Responsible for development for large-scale business solutions, providing technical guidance for specific applications
• Report to the Senior Manager, Engineering - Integration Engineering Department
• Provide expertise during the initial phase of the project, including resource estimate, skill requirement, time requirement, tool/technology identification, and proof of concept participation
• Analyze high-level system specifications, business requirements, and use cases
• Translate requirements into detailed technical specifications and system design plans for the development team
• Create a platform using Java, Spring Boot, and AWS, while managing system dependency
• Consult with partners to validate complex design decisions and provide advanced coding expertise to address high-risk features or technical challenges
• Provide documentation for design decisions, estimating assumptions, code modules, and performance metrics per organization standards
• Define, conduct, mentor, and participate in testing (unit testing, system integration testing) and lead/participate in development walkthroughs
• Collaborate with partners on system flow effectiveness, data usage, and manual or automated processes to verify requirements

Lead Application Development Engineer

Claims Specialist

• Investigate origin and cause of high exposure claims by contacting appropriate parties
• Participate in High Damage Reviews (HDR) to address coverage issues and exposure
• Handle claims on a good faith basis, both 1st party and 3rd party under multiple policy types
• Conduct on-site inspections, evaluate damages and handle claim negotiations with insureds and others
• Provide all parties with claim process and status; answer questions or redirect to other areas
• Be a mentor and subject matter expert for less experienced adjusters.

Large Loss Property Field Claims Adjuster – East/Central Missouri

Machine Learning Engineer

• support Data Engineering and Data Science Teams, including application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases
• focus on automation of deployment and integration tasks (CI/CD)
• drive cloud infrastructure management and automation
• work closely with Data Scientists to bring models into production
• evaluate new tools and approaches to continuously evolve the team's DevOps practice

Cloud MLOps Engineer

Compliance

• research and interpret regulatory findings, market conduct exam reports and legislative alerts for trends and potential business impact
• guide business units in assessing business policies and procedures for gaps that may expose the company to significant compliance or ethics risks
• conduct surveys and interviews of business unit employees to determine if business practices, or absence of practices, present significant regulatory, ethical, or legal compliance risks
• lead the coordination of regulatory exams and inquiries, along with draft written inquiries
• research applicable laws and regulations and analyze their effect on business practices
• serve as an expert resource on assigned subjects on more complex issues
• complete a detailed data analysis, such as conducting in-depth reviews of internal business practices, as needed, to identify potential problems and mitigate risk
• recommend solutions, as appropriate
• escalate issues and maintain records, as required or appropriate

Lead Corporate Compliance Consultant

Learning and Development

• Facilitate instructor-led, virtual, and hybrid learning experiences for agents and their staff.
• Prepare for each session by reviewing learner needs, tailoring activities, and ensuring materials, technology, and logistics are ready for smooth delivery.
• Create a psychologically safe, inclusive learning environment; manage group dynamics; and adapt delivery in real time based on participant feedback and performance.
• Partner with business stakeholders to understand performance needs and translate them into learning objectives, session content, and reinforcement strategies.
• Evaluate learning effectiveness using participant feedback and outcomes data; summarize insights and recommend improvements to content, facilitation approach, and follow-up support.
• Coach participants to support skill application on the job.
• Contribute to the design and continuous improvement of learning programs, including updating facilitator guides, participant materials, and experiential activities.
• Serve as a senior member of the learning team by mentoring other facilitators, modeling facilitation excellence, and helping standardize facilitation practices.
• Maintain expertise in learning trends, facilitation methods, and relevant business/functional knowledge; incorporate new techniques and tools as appropriate.

Senior Talent Development Specialist

Network Engineer

• Collaborate with others in the division to provide and maintain applications that meet our needs.
• Responsible for Network design and development for moderate to complex business solutions, providing technical guidance for specific applications.
• You will report to a Senior Manager, Engineering.
• You will be expected to work a minimum of 10 days per month from the office.
• Leading the design, planning, and implementation of network solutions to meet organizational needs.
• Overseeing the maintenance of network systems and ensuring their optimal performance.
• Implementing and managing network security measures to protect data and systems from unauthorized access or attacks.
• Maintaining detailed documentation of network configurations, changes, and performance metrics.
• Providing regular reports to management on network status and performance.
• Coordinating with external vendors and service providers to ensure the procurement and maintenance of network equipment and services.
• Staying updated with the latest network technologies and trends to continuously improve network infrastructure and processes.

Senior Network Engineer

Data Scientist

• Develop, analyze and model operational, economic, management, accounting and other organizational data
• Measure the competitive performance of business segments
• Evaluate potential operational changes
• Design new approaches and methodologies
• Analyze organizational data to recommend solutions to new and complex problems
• Develop strategies
• Quantify the competitive performance of our operations and markets
• Model and evaluate the potential impact of changes
• Report to a Senior Manager, Data Science
• Work a minimum of 10 days per month from the office

Data Scientist – AI & Machine Learning

Business Analyst

• Lead business analysis activities for large and/or complex ServiceNow enhancements & large initiatives to be implemented on the ServiceNow platform.
• Develop and maintain functional requirements, non-functional requirements, acceptance criteria, constraints, risks, and supporting deliverables for ServiceNow Platform demands.
• Serve as a trusted partner to ServiceNow engineers, architects, product owners, and delivery teams.
• Support demand intake activities by ensuring requests are sufficiently defined, feasible, and aligned to business objectives.
• Consult on development of test strategies and plans to ensure requirements are testable and traceable through all testing phases.

Senior Business Analyst

Platform Engineer

• Support API platform migration from Layer 7 to Apigee, ensuring smooth cutover and improved developer experience
• Expand platform automation and IaC: Terraform for Apigee prod/non-prod environments
• Automated proxy/shared-flow deployments
• Self-service API product creation and lifecycle workflows
• Disaster recovery/failover procedures
• Build and operate API infrastructure (proxies, shared flows, API products) using standard policies (OAuth/JWT, rate limiting, mediation, service callouts)
• Implement enterprise Postman automation/integrations: GitLab CI/CD workflows to sync collections/specs with repos
• Automate publishing specs to Apigee for proxy generation
• Automate publishing API docs to the software catalog
• Define workspace governance and collaboration patterns
• Operate Apigee X in hybrid multi-cloud (GCP/AWS): install, configure, upgrade, maintain
• Own API security operations: OAuth policies, cert management, IdP integrations (Ping/ForgeRock/Azure Entra/Okta), vulnerability management
• Improve developer enablement: self-service publishing/catalog workflows, docs/troubleshooting guides, shared libraries/templates, design standards/governance
• Integrate with modern delivery/runtime platforms: Apigee + Postman + GitLab CI/CD, Kubernetes (GKE/EKS), Cloud Run, container orchestration
• Strengthen observability with Datadog: performance/alerts, log analysis/RCA, SLO/SLA + error budgets, dashboards and incident playbooks
• Support API consumers: roles/permissions, developer app onboarding, complex runtime/network troubleshooting
• Drive adoption via documentation, training, and office hours

Senior Platform Engineer – API Management

Consultant

• supporting the development, implementation, maintenance, and adherence to the organization's privacy program
• ensuring compliance with evolving state and federal privacy requirements
• providing operational privacy expertise and support that allows business partners to execute strategic initiatives
• researching and interpreting regulatory requirements, findings and legislative alerts for trends and potential business impact
• assisting business units in assessing business policies and procedures for gaps that may expose the company to significant privacy compliance risks
• conducting privacy impact assessments on applications, systems, processes and vendors
• identifying compliance deficiencies and areas of risk
• partnering with other internal business partners and stakeholders to manage risk from internal and external sources
• developing action plans on any issues arising from regulatory inquiries
• assisting with the development, implementation and maintenance of consumer privacy notices, privacy policies, standards and procedures

Privacy Consultant

Customer Support

• Report to the Customer Service Manager as the first contact for customers regarding service issues and account information.
• Communicate with customers to research questions and resolve higher-level problems.
• Work primarily from home, spending 80% of time remote.
• Participate in a week of training that includes in-person onboarding.
• Develop an understanding of systems and procedures to educate clients and advisors.

Customer Service Representative

Full-stack Engineer

• Build reusable engineering assets (service templates, starter kits, reference implementations, shared libraries)
• Define and roll out best practices: Branching/release strategy, PR standards, versioning/tagging, feature flags
• Unit/integration testing and reliable test-data patterns
• Secure-by-default standards (dependency hygiene, secrets management, least privilege, secure configuration)
• Enable AI-assisted development (prototyping, code understanding, test generation, refactoring) with quality/security guardrails
• Reduce friction across Java/Spring Boot and Node.js/.NET/Python teams via practical enablement
• Improve developer workflows (local setup, reproducible builds, environment consistency, debugging/troubleshooting guidance)
• Standardize cloud-native deployment patterns for AWS/GCP (EKS/ECS/Cloud Run)
• Implement observability-by-default using Datadog (instrumentation, dashboards, alerting standards, operational guides)
• Create standardized delivery automation (e.g., reusable GitLab CI/CD templates)
• Partner with platform teams to improve docs, onboarding, self-service tools, and paved-road workflows (turn common issues into docs/examples/automation)
• Drive metrics-based improvements (DORA metrics, SLOs/SLAs, error budgets, alert thresholds)
• Drive adoption through documentation, examples, enablement sessions, and office hours

Senior Software Engineer – Developer, Enabler

Manager

• Ensures regular business alignment and prioritization of demand with resource and budgetary capacity
• Collaborates with cross functional teams
• Periodically reviews status of projects and makes adjustments as necessary
• Establishes, maintains, and provides management reporting using appropriate metrics
• Ensures effective communication with project sponsors, project managers, functional and resource managers, and other stakeholders
• Engages key stakeholders to evaluate proposed and ongoing projects based on value, risk, effort, cost and strategic alignment
• Provides formal training and support for project and portfolio management
• Develops and maintains governance tools, templates, guidelines, procedures and processes
• Leads with influence and expertise
• Actively contributes to division or department leadership team
• Communicates and supports organization mission, vision, values, policies, and practices

Lead Program and Portfolio Manager

Product Analyst

• Analyze the performance of the product lines, agent, or book of business.
• Evaluate profit factors and conduct analysis of performance data to provides product strategy recommendations relating to profit, growth, retention, and overall book of business.
• Develop working relationships with other lines to identify product gaps and opportunities.
• Research and develop concepts for complex enhanced products and services.
• Work with partners in pricing/actuarial and claims to ensure product compliance and financial viability.
• Produce detailed competitive research for commercial lines products using a variety of information sources and tools to support decision-making.
• Analyze all available data forming conclusions regarding our competitive position in the marketplace.
• Provide recommendations to leadership to take advantage of product offerings and geographical areas.
• Provide expertise regarding how competitor actions and industry trends influences commercial lines ability to meet corporate and divisional goals.
• Make recommendations to management regarding operational and product changes that may enhance our competitive position.
• Stay up to date with all rate changes, rating enhancements and program changes by our competitors; research competitor filings, rate and rule manuals to check changes made and their impact on our competitive position.
• Ensure reporting accuracy explaining drivers and insights relating to competitive position changes.