Manager, Technical Underwriting (Stop Loss)

Responsibilities

• Manage the technical underwriter pool, training, assignments, case loads
• Coordinate with Underwriting on service standards on data intake and RFP workstreams
• Own the end-to-end technical underwriting workflows from intake to binding, challenging processes for efficiency and scalability
• Manage the transition of data into ESL Office and assisting the actuarial team with governance of data quality
• Partner with the COO on system enhancements, integrations, automation initiatives, and data quality standards affecting the underwriting platform
• Serve as the technical underwriting teams liaison with external partners that support the technical underwriting practice
• Manage daily case assignment, workload balancing, and capacity planning across the technical underwriting team
• Maintain and enforce underwriting guidelines, authority levels, and referral protocols in coordination with senior underwriting leadership
• Produce management reporting on production, quality, and operational metrics for the COO and executive team
• Support audits, compliance reviews, and carrier/reinsurer due diligence as needed

Qualifications

• 7+ years of employer stop loss or medical excess underwriting experience, with at least 2 years in a lead, supervisory, or management capacity
• Hands-on proficiency with stop loss underwriting and policy administration platforms, including workflow configuration and reporting
• Demonstrated success managing underwriting workflows, case pipelines, and team workload in a production environment
• Experience training, mentoring, and developing underwriting talent
• Strong analytical skills, including comfort with Excel-based rating tools, underwriting data, and operational metrics
• Excellent written and verbal communication skills, with the ability to work effectively across sales, actuarial, claims, and technology functions
• Familiarity with ESL Office by Connexure, including workflow configuration, templates, and reporting
• Experience with underwriting workflow automation, system implementations, or platform migrations
• Familiarity with data and reporting tools (e.g., Power BI, SQL-based reporting) and interest in AI-assisted underwriting tooling
• Knowledge of managed care reinsurance and the broader self-funded health plan ecosystem (TPAs, MGUs, brokers, PBMs)