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Lead design and development of complex Salesforce solutions for Personal Insurance. Provide technical leadership, mentor engineers, drive architecture and code quality, establish testing and CI/CD practices, troubleshoot complex issues, and collaborate with stakeholders to deliver scalable, secure enterprise solutions.
Insurance
Lead design and delivery of enterprise-scale Salesforce solutions, provide technical direction and best practices, implement CI/CD and automated testing, mentor engineers, partner with stakeholders, run proofs of concept, monitor performance, and take ownership of Salesforce projects from conception through delivery.
Insurance
Develop and implement Salesforce solutions to support Personal Insurance digital transformation. Collaborate with cross-functional teams to design, configure, and integrate Salesforce features, apply software engineering fundamentals, and translate business requirements into technical solutions. Learn and grow within the Salesforce ecosystem while partnering with experienced professionals to deliver solutions that enhance customer experience and streamline processes.
Insurance
Design, develop, and implement Salesforce solutions; write clean, maintainable code; build and maintain integrations via RESTful APIs; participate in code reviews, testing, troubleshooting, and documentation; collaborate with cross-functional teams and stay current with Salesforce platform updates.
Insurance
Under attorney supervision, review, draft and negotiate a wide range of supplier and technology contracts (including AI and emerging tech). Collaborate with Procurement and business stakeholders, select and adapt templates, resolve contract issues, support contract automation/self-service tools, and participate in projects to improve contracting processes.
Insurance
Design, build, test, and operationalize data pipelines and solutions. Analyze data sources, apply transformations and quality controls, resolve incidents, and collaborate with teams to deliver data products supporting analytics, BI, and AI/ML use cases.
Insurance
Manage workers' compensation claims from investigation through resolution for low-to-moderate complexity files. Coordinate medical and indemnity positions, set and update reserves, collaborate with medical and legal specialists, negotiate settlements, manage litigation and Medicare Set Asides, and ensure timely file documentation and statutory filings. Acquire required insurance licenses and maintain continuing education.
Insurance
The Risk Control Consultant evaluates and manages risk factors for clients, providing assessments and recommendations, while maintaining strong relationships with underwriting and clients. This role involves traveling to customer sites and requires a degree and several years of relevant experience.
Insurance
The Sales Executive will manage agency relationships, develop sales strategies, and drive growth in personal insurance through effective communication and analytics while traveling up to 75%.
Insurance
The Senior Risk Control Consultant evaluates risk factors, maintains customer relationships, and provides risk mitigation solutions while ensuring compliance with safety standards.
Insurance
Design, develop, test, and deploy scalable software solutions and AI assistant capabilities. Integrate generative AI/LLM frameworks, vector databases, and cloud services. Collaborate across teams, provide technical guidance, mentor junior engineers, and apply prompt engineering and responsible-AI guardrails.
Insurance
Perform complex paralegal duties supporting litigation: legal research, drafting motions and discovery, preparing exhibits, coordinating document production, summarizing depositions, conducting investigations, and assisting attorneys with trial preparation and case analysis.
Insurance
As a Data Engineer, you'll build data solutions, analyze sources, support data governance, and educate end users on data products.
Insurance
This role involves investigating, evaluating, and negotiating General Liability claims. Responsibilities include timely coverage analysis, maintaining effective communication, managing claim files, and ensuring compliance with quality standards.
Insurance
Manage large-exposure, complex liability and coverage claims (toxic tort, environmental, sexual misconduct, latent injury). Perform coverage and liability analysis, litigation management, financial exposure estimation, account coordination, file maintenance, mentoring, and lead special projects to achieve efficient, compliant claim resolutions.
Insurance
Build, test, and operationalize complex data pipelines and solutions on cloud platforms. Analyze and transform data, ensure data governance, security, and quality, troubleshoot defects, and collaborate across teams to support analytics, ML/AI, and business intelligence needs.
Insurance
Lead design and delivery of end-to-end data and ML pipelines for imagery models, partnering with data science and architecture to build, deploy, monitor, and standardize production imagery data solutions and frameworks while ensuring governance, quality, and cross-team alignment.
Insurance
Entry-level workers compensation claims role with up to 12 months of structured training. Assist in investigating, documenting, and resolving WC claims, communicate with stakeholders, maintain claim records, coordinate medical return-to-work plans, and obtain required insurance licenses. Participate in telephonic/onsite file reviews and complete a pre-employment assessment.
Insurance
Represent clients in litigation of disputed Workers Compensation claims from case inception through trial/resolution. Independently handle hearings, draft pleadings/motions/discovery, conduct legal research, interpret medical reports and fee schedules, provide case strategy and recommendations, maintain client relationships, meet billable hour targets, and utilize case management and legal automation tools.
Insurance
The Senior Data & AI Engineer will design, build, and deploy complex data solutions, focusing on AI and data management. Responsibilities include creating data pipelines, enhancing data quality, and supporting analytics and machine learning initiatives.



