Berkshire Hathaway Homestate Companies - Workers Compensation Division

Data Scientist

• Develops and deploys machine learning models using the latest techniques using software like python, R or similar. Researches the latest analytical techniques for modeling structured and unstructured data.
• Follows modern source control of all model code utilizing source control software such as Git or ADO repositories.
• Combines, manipulates, and transforms large, complex datasets using Python and SQL to identify patterns, anomalies, and trends within the data so that it can be prepared for use in machine learning models, business intelligence reporting, machine learning operations, and prepare it for any end user as meaningful information.
• Prepares and presents data in dashboards, reports or other formats which include charts, graphs, tables, other visualizations, or analytical output to convey the results of data analysis using python, SQL, power BI, or other appropriate statistical or data science software.
• Applies machine learning models which perform optical character recognition on unstructured data to prepare it for downstream analytics such as search, word vectorization, sentence encoding and other data science based unstructured modeling approaches.
• Proposes and evaluates innovative solutions for analyzing, clustering, associating, and classifying data.
• Develops and validates algorithms via analysis, computer simulation, and prototyping. Helps maintain large-scale analytics infrastructure, including distributed storage and computation clusters. Hands-on development and programming.
• Develops and deploys systems and programs for machine learning operations tasks which monitor and rebuild machine learning and other similar models and systems. Detects anomalies on features and model predictions using advanced statistical modeling and process control statistical techniques.

Product Designer

• Responsible for designing customer experiences for a variety of internal and external facing applications.
• Initiates ownership of the design strategy for multiple digital products, leveraging data and user research to define a seamless experience across platforms.
• Highly collaborative, hands-on, and partners with various Product, Engineering, and Marketing stakeholders to ensure a customer-focused and engaging experience at every interaction.
• Reports To: AVP or Director, Business Applications.
• Some travel may be required.

UI/UX Designer

DevOps Engineer

• Ensure the reliability, availability, and performance of key Business Applications, IT services and infrastructure by monitoring system health and identifying potential risks.
• Implement proactive measures, such as performance tuning and capacity planning, to avoid service disruptions.
• Maintain and improve service-level objectives (SLOs) and service-level agreements (SLAs) across systems and services.
• Monitor and respond to incidents, troubleshooting issues across the entire stack (network, systems, software, applications).
• Conduct root cause analysis (RCA) of system failures and recommend or implement long-term solutions to prevent recurrence.
• Participate in on-call rotations, ensuring timely resolution of incidents and minimizing downtime.
• Collaborate with development and operations teams to improve system observability and alerting through monitoring tools.
• Contribute to the design and implementation of scalable, highly available, and fault-tolerant architectures for distributed systems.
• Collaborate with software engineers and architects to optimize system architecture for high reliability and performance.
• Manage cloud infrastructure and services (Azure, AWS, or Google Cloud) to ensure efficient resource utilization and scalability.
• Design and manage networking components, including load balancers, firewalls, VPNs, and DNS, ensuring secure, scalable, and resilient network infrastructure.
• Troubleshoot network performance issues, including latency, packet loss, and bandwidth bottlenecks.
• Work with security teams to implement best practices for security hardening, encryption, and compliance in production environments.
• Implement comprehensive monitoring, logging, and alerting systems using tools such as Dynatrace, Prometheus, Grafana, Datadog, or Splunk.
• Create and maintain dashboards that provide real-time insights into system performance, availability, and key reliability metrics.
• Set up monitoring for key infrastructure components (e.g., servers, databases, microservices) and define actionable alerts.
• Conduct capacity and performance testing to ensure the systems can handle increasing traffic and workloads.
• Perform periodic (e.g. daily, monthly, annually) SRE manual and automated operations to ensure proper performance of corporate enterprise applications and systems.
• Work with business applications across various environments, including on-premises, hybrid, and cloud systems.
• Work with the infrastructure and cloud teams to ensure that application environments are stable, secure, and meet business performance expectations.
• Support the transition of applications from on-premises environments to cloud or hybrid architectures, working closely with senior IT leadership on cloud migration strategies.
• Ensure proper governance and performance monitoring for applications in all environments, proactively identifying areas for optimization.
• Develop and implement procedures for regular audits, risk assessments, and disaster recovery plans for critical applications.
• Ensure that QA processes adhere to relevant industry standards and regulatory requirements (e.g., ISO, GDPR, HIPAA).
• Develop and maintain test documentation, including test plans, test cases, test scripts, and test data management.

Service Reliability Engineer – Internal

• Ensure the reliability, availability, and performance of key Business Applications, IT services and infrastructure by monitoring system health and identifying potential risks.
• Implement proactive measures, such as performance tuning and capacity planning, to avoid service disruptions.
• Maintain and improve service-level objectives (SLOs) and service-level agreements (SLAs) across systems and services.
• Monitor and respond to incidents, troubleshooting issues across the entire stack (network, systems, software, applications).
• Conduct root cause analysis (RCA) of system failures and recommend or implement long-term solutions to prevent recurrence.
• Participate in on-call rotations, ensuring timely resolution of incidents and minimizing downtime.
• Collaborate with development and operations teams to improve system observability and alerting through monitoring tools.
• Contribute to the design and implementation of scalable, highly available, and fault-tolerant architectures for distributed systems.
• Manage cloud infrastructure and services (Azure, AWS, or Google Cloud) to ensure efficient resource utilization and scalability.
• Work with security teams to implement best practices for security hardening, encryption, and compliance in production environments.
• Implement comprehensive monitoring, logging, and alerting systems using tools such as Dynatrace, Prometheus, Grafana, Datadog, or Splunk.
• Create and maintain dashboards that provide real-time insights into system performance, availability, and key reliability metrics.
• Periodically perform SRE manual and automated operations to ensure proper performance of corporate enterprise applications and systems.

Service Reliability Engineer

Cloud Engineer

• Design end-to-end cloud architecture solutions aligned with business objectives and technical requirements.
• Define and implement cloud adoption strategies, including public, private, and hybrid cloud models.
• Evaluate existing systems and make recommendations for cloud migration, modernization, and optimization.
• Establish cloud governance, standards, and best practices to ensure compliance, security, and cost-effectiveness.
• Collaborate with DevOps, Security, Networking, and Application teams to ensure integrated and seamless deployment.
• Lead architecture reviews, cloud assessments, and proof-of-concept efforts.
• Create and maintain architecture diagrams, technical documentation, and roadmaps.
• Mentor development and infrastructure teams on cloud best practices and architectural standards.

Cloud Architect

Solutions Engineer

• Works with members of the architecture portfolio to make recommendations in activities related to the design, development and maintenance of Enterprise Architecture strategies, processes, methodologies and models.
• Promotes the development of common reusable enterprise technology solutions while respecting the main principles of Domain Driver Design (DDD).
• Assesses the immediate and long term strategic goals of the organization and participates in managing the technology roadmap.
• Promotes the adoption of the Security Development Lifecycle (SDL) and integration of it in the Software Development Lifecycle (SDLC) to raise security awareness in application development.
• Ensures technology solutions are aligned to solution patterns, application frameworks and the technology roadmap.
• Identifies and implements new solutions for research and participate in proof of concept initiatives to explore new architectural strategies.
• Responsible for the design, customization, and implementation of robust, secure, scalable systems across n-tier platforms.
• Promotes the development of technical infrastructure/architecture and standards.
• Supports the new enterprise architecture (called ENCORE) and evaluates roadmaps for opportunity to improve/modernize legacy processes including cloud strategy, DevOps, and technical delivery excellence.
• Works with the lines of business, support staff, and technology areas, to design a technical structure based on the existing standards and processes and meets the strategic needs of the business and integrates with other business and IT Processes.
• Defines optimal application architecture strategy for migration to the cloud.

Solutions Architect

Legal Assistant

• Assist Director of Corporate Counsel with legal research, analysis, and document review.
• Assist Director of Corporate Counsel in the preparation of memoranda, position statements, contracts and agreements, including master services, licensing, professional services, and vendor agreements.
• Special projects as assigned.

Law Clerk – Workers Compensation

Data Engineer

• Design and evolve the enterprise data architecture that supports our growing business, AI adoption, and long-term strategy.
• Ensure our data ecosystem is secure, scalable, reliable, and well-governed.
• Work hand-in-hand with the Director of Data Strategy, IT engineering teams, as well as Analytics, Claims, and Actuarial teams to build a unified, modern, and trustworthy data environment.
• Develop and evolve the enterprise data architecture blueprint including cloud, on premises, and hybrid environments ensuring alignment with business and analytical/AI needs.
• Lead the architectural design for enterprise data platforms, including structured and unstructured data environments.

Principal Data Architect

Threat Intelligence Specialist

• Perform data mining of internal systems to detect claims and billing patterns relevant to specific investigations. Collect and organize data for timely submission to regulatory and law enforcement authorities.
• Conduct research using publicly available and subscription-based databases; maximize the utilization of web-based resources to advance investigations.
• Prepare charts, spreadsheets, and other visual aids for presentations to management, counsel, and law enforcement. Create and modify reports/queries on SIU activities.
• Identify and analyze questionable patterns and other red flags (Claims, Premium, or Provider) in order to identify documents for further review by investigator.
• Foster a positive working relationship and regular communications between the SIU and other departments, primarily Claims, Client Services, Premium Audit, Medical Management/Bill Review, and Data Analytics.

Background & Data Intelligence Analyst

Director

• Build and execute the enterprise data strategy that drives our core business priorities and long-term direction.
• Translate strategic goals into actionable workstreams that improve data quality, governance, reporting, and insights.
• Work closely with the CEO, CIO, and Executive team to align data initiatives with business objectives and innovation.
• Establish and chair the Enterprise Data Governance Committee.
• Develop and implement policies for data roles, stewardship, metadata, lineage, and quality.
• Define the governance model for data feeds, data extracts, and the use of operational and analytical copies of data.
• Ensure BHHC meets legal and regulatory expectations for data privacy, usage, security, and retention.
• Partner with Claims, Underwriting, Actuarial, Finance, HR, Marketing and Operations to understand data needs and turn them into prioritized roadmaps.
• Create strong working relationships across all departments and serve as the primary bridge between business teams and technology teams.
• Build and oversee a multiyear data strategy program including data discovery, catalog, architecture modernization, integration improvements, and data quality.
• Measure the impact of data initiatives and communicate outcomes to the Executive team.
• Promote a culture where data is trusted, shared appropriately, and used responsibly to drive collaborative innovation.
• Mentor data stewards and program leads across the company.

Director of Data Strategy

• Develop and evolve the enterprise data architecture blueprint including cloud, on premises, and hybrid environments ensuring alignment with business and analytical/AI needs.
• Set the direction for modern data integration, event driven design, master data management, and responsible AI enablement.
• Evaluate current systems and design a practical modernization path that reduces technical debt and improves data quality and performance.
• Lead the architectural design for enterprise data platforms, including structured and unstructured data environments.
• Design standards for ingesting data from core policy, claims, CRM, billing, underwriting, and workflow systems.
• Establish scalable patterns for operational data feeds, partner data exchanges, real time integration, and analytical data pipelines.
• Define the strategy and technical patterns for how the company manages data copies, extracts, and transformations in a secure and governed manner.
• Partner closely with the Director of Data Strategy to make sure architecture aligns with business priorities.
• Work with engineering, application teams, analytics, and actuarial groups to ensure efficient, well designed data flows.
• Provide technical leadership for system modernization efforts and guide how data is structured, integrated and maintained across the enterprise.
• Define architectural standards that support enterprise data quality, lineage, metadata, and stewardship expectations.
• Establish reliable integration patterns for the company’s core systems.
• Ensure the architecture meets audit, compliance, and security requirements.
• Lead complex architecture reviews, solution designs, and technical roadmaps.
• Oversee proof of concepts, technical assessments, and platform evaluations.
• Bring structure and clarity to a mixed technology environment with legacy systems and modern cloud services.

• Build and execute the enterprise data strategy that drives our core business priorities and long-term direction.
• Translate strategic goals into actionable workstreams that improve data quality, governance, reporting, and insights.
• Work closely with the CEO, CIO, and Executive team to align data initiatives with business objectives and innovation.
• Establish and chair the Enterprise Data Governance Committee.
• Develop and implement policies for data roles, stewardship, metadata, lineage, and quality.
• Define the governance model for data feeds, data extracts, and the use of operational and analytical copies of data.
• Ensure BHHC meets legal and regulatory expectations for data privacy, usage, security, and retention.
• Partner with Claims, Underwriting, Actuarial, Finance, HR, Marketing and Operations to understand data needs and turn them into prioritized roadmaps.
• Create strong working relationships across all departments and serve as the primary bridge between business teams and technology teams.
• Work closely with the Chief Data Architect to bring strategic initiatives to life through sound architecture that securely drives business growth.
• Build and oversee a multiyear data strategy program including data discovery, catalog, architecture modernization, integration improvements, and data quality.
• Guide consulting partners that support the data strategy program.
• Establish the strategy for how the organization manages inbound and outbound data feeds, operational data requests, and analytical/AI data needs.
• Measure the impact of data initiatives and communicate outcomes to the Executive team.
• Promote a culture where data is trusted, shared appropriately, and used responsibly to drive collaborative innovation.
• Mentor data stewards and program leads across the company.
• Drive transparency, collaboration, and accountability across all data and analytical/AI efforts.