Coverys

Manager

• Analyze and verify insurance coverage for claims brought against policyholders
• Assure timeliness and adequacy of reserves on claim files; approve or recommend adjustments
• Assign losses to claim staff for disposition
• Evaluate liability, damages, and causation; approve settlements within authority
• Advise Claims leadership on claims status and attend Reserve & Settlement Committee Meetings
• Determine work procedures, manage schedules, and expedite workflow
• Maintain and develop claims policies and procedures
• Coordinate services with other departments for insureds and clients
• Conduct quarterly audits of consultant case files
• Monitor staff, identify and implement training needs, and ensure compliance with claims handling requirements
• Track results, recommend improvements, and participate in strategic planning
• Manage assigned staff, including evaluations, time off, time cards, recognition, and disciplinary issues
• Monitor trials as necessary
• Assist in developing claims-related marketing strategies and tools for client retention and new business cultivation

Claims Manager

Business Analyst

• Manage the Vendor Risk Management program by assisting business partners with the completion of risk-based vendor performance reviews to ensure timely governance and completion
• Assist in the preparation and maintenance of risk control matrices, control risk assessments, risk profiles, heat maps, control effectiveness reports and related ERM documentation
• Provide support on the monitoring of risks against established tolerance levels
• Assist in coordinating the compilation, data aggregation, and updating of enterprise-level risk metrics, including aggregated global reporting
• Assist in the creation and routine reporting of metrics that measure key risk and performance areas
• Prepare documentation for, and facilitate, Horizon scanning working group meetings
• Assist in the preparation of key documents for the Enterprise Risk Management Committee
• Proactively monitor remediation progress of action items identified for timely resolution
• Continue the development of appropriate technical skills through internal and external resources to stay abreast of evolving risk themes pertaining to ERM related practices, issues and trends that may impact Coverys
• Perform other duties as assigned

Enterprise Risk Management Analyst

Data Engineer

• Lead the design, build, and evolution of Coverys’ next-generation enterprise data platform and data integration pipeline
• Define the architectural blueprint and establish data modeling standards
• Lead enterprise data architecture aligned to business domains including Policy, Party, Claims, Billing, and Underwriting
• Develop canonical and semantic data models for analytics, reporting, and operational use cases
• Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation
• Translate business requirements into scalable data structures and provide technical recommendations and tradeoffs
• Lead design and development of ELT/ETL pipelines using modern cloud-native tools and frameworks
• Lead migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns
• Implement data quality rules, validation frameworks, and reconciliation logic
• Optimize Snowflake workloads for performance, cost, and reliability
• Serve as a hands-on technical expert for complex data engineering challenges, including pipeline design, performance tuning, scalability, and production troubleshooting
• Design and build reusable data engineering frameworks, shared components, and reference implementations
• Evaluate emerging data technologies and lead proofs of concept
• Define and apply engineering guardrails for security, observability, resiliency, recoverability, and operational readiness
• Mentor engineering and data engineering team members, including SQL developers and analytics engineers transitioning into modern data engineering roles
• Ensure the data engineering team follows sound technical processes and best practices
• Design and oversee medallion-style data layers (bronze/silver/gold)
• Partner with Data Governance to establish data dictionaries, lineage, classification, data quality, and stewardship models
• Ensure consistent use of canonical identifiers across systems and domains
• Promote data-as-a-product principles and reusable, scalable data assets
• Partner with business analysts, data scientists, actuaries, and analytics teams
• Provide technical direction, review designs and code, and remove delivery blockers
• Provide architectural oversight and technical leadership for major enterprise data initiatives
• Support evolving business needs as applicable

Claims Manager

Enterprise Risk Management Analyst

Lead Data Architect