Core Specialty Insurance Holdings, Inc.

Manager

• Conduct extensive survey evaluations/audits of commercial auto product line accounts
• Respond to assigned visit requests within the region
• Identify and communicate with corresponding underwriters regarding potential accounts requiring visits
• Write comprehensive reports detailing visit/survey findings and recommendations to improve policyholder operations
• Conduct follow-up assessments based on approved post-visit plans
• Manage scheduling with policyholders, underwriters, and home office staff
• Address safety and compliance needs within the assigned territory
• Establish working relationships with underwriters across product lines and the claims group
• Submit reports and findings to requesting underwriters and the total quality administrator
• Stay current with local transportation regulations, State DOT requirements, and applicable OSHA regulations
• Participate in meetings and seminars with policyholders, Lancer, and industry organizations
• Write and edit safety articles as needed
• Manage email, web, and cell phone communications
• Perform other duties as assigned

Regional Manager – Loss Control

Underwriter

• Implement, oversee, and grow a profitable book of farm property and liability insurance within the Equine segment
• Assist with form filings, new system development, and other processes
• Review new risk submissions, renewals, and endorsement requests within assigned authority and underwriting guidelines
• Manage the team as the business expands and grows
• Evaluate, accept, reject, or modify risks within established underwriting guidelines
• Assist Division leadership with development and implementation of the division business plan and market strategy
• Expand and maintain awareness of the insurance market, specifically in the assigned line of business
• Ensure appropriate response times and exemplary customer service for broker partners
• Communicate with broker partners to develop and maintain relationships
• Encourage targeted business submissions and collaborate with brokers to obtain necessary information
• Maintain accurate and timely account status in all systems throughout the underwriting life cycle
• Pursue professional training for product knowledge and personal growth
• Use independent judgment and initiative to support business goals
• Undertake other duties as reasonably required or assigned

AVP Underwriting – Equine Farm Property

Data Engineer

• Design, build, and optimize data pipelines, ingestion frameworks, and platform components supporting analytics, reporting, and AI/ML use cases
• Own complex engineering initiatives autonomously from technical design through implementation and rollout
• Identify and resolve performance, scalability, and reliability issues across the data platform
• Proactively identify gaps and propose improvements to data engineering solutions
• Write clean, well-tested, well-documented code and infrastructure-as-code
• Define AI/ML frameworks and evaluate tools, platforms, and standards for building and deploying AI/ML solutions
• Build working prototypes that provide immediate value to engineering teams
• Shape and help implement MLOps strategy, including model deployment, monitoring, versioning, and lifecycle management
• Collaborate with Data Governance to align AI/ML frameworks with data governance, security, and compliance standards
• Design and advocate for scalable data infrastructure patterns for AI/ML use cases
• Partner with Data Science, Data Engineering, and business stakeholders to assess readiness gaps and build a roadmap
• Advise the VP, Head of Data on emerging AI/ML technologies, practices, and industry trends
• Document AI/ML standards, frameworks, and decisions
• Provide senior technical guidance on architecture, design patterns, best practices, AI/ML readiness, and MLOps frameworks
• Partner with Enterprise Architecture on architectural blueprints for AI readiness
• Report directly to the VP, Head of Data
• Perform other duties as assigned

Lead Data Engineer – AI/Machine Learning

• Define the enterprise data architecture strategy, reference patterns, roadmap, and standards across ingestion, transformation, storage, consumption, AI/ML, and operational reporting
• Establish target-state architectures for Lakehouse, data warehouse, semantic layer, data mesh/domain-aligned data products, master/reference data, metadata, lineage, cataloging, and data quality management
• Translate underwriting, claims, finance, actuarial, risk, and regulatory needs into governed data capabilities and reusable engineering patterns
• Design and govern AI-ready data foundations, including feature stores, vector/embedding patterns, model training and inference pipelines, RAG grounding, and responsible AI controls
• Lead architecture reviews for data and analytics initiatives, ensuring security, privacy, regulatory, classification, retention, least privilege, segregation of duties, and audit readiness
• Define DataOps, MLOps, and engineering requirements for CI/CD, testing, data quality gates, policy-as-code, infrastructure-as-code, environment promotion, rollback, monitoring, and release controls
• Create architecture blueprints, solution decision records, integration patterns, data flow diagrams, domain models, canonical data contracts, and implementation playbooks
• Guide modernization of legacy data assets and reporting solutions into secure, scalable, cost-optimized cloud-native platforms aligned to Azure-first direction
• Support vendor and platform evaluations through build-vs-buy-vs-extend analysis
• Partner with cybersecurity and platform teams on Zero Trust access, network segmentation, encryption, key management, privileged access, and secure data sharing
• Define observability standards for pipelines, data products, models, SLAs/SLOs, lineage, incident response, DR/BCP, capacity, cost management, and service health reporting
• Perform other duties as assigned

Regional Manager – Loss Control

AVP Underwriting – Equine Farm Property

Lead Data Engineer – AI/Machine Learning

Enterprise Data Architect