Director of AI Operations and Insurance Domain Quality
New
J
JobgetherCommercial insurance
Remote work arrangement within the United States.Full-TimeDirector
Salary135,000 - 145,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 8–10 years of progressive leadership experience in commercial Property & Casualty insurance operations, underwriting quality control, brokerage management, or insurtech program operations.
- Required Skills
- Quality Assurance
Requirements
- At least 8–10 years of progressive leadership experience in commercial Property & Casualty insurance operations, underwriting quality control, brokerage management, or insurtech program operations.
- Active Resident or Non-Resident Property & Casualty (P&C) Producer/Agent License.
- Deep technical knowledge of commercial P&C lines, including General Liability, Commercial Property, Workers' Compensation, Umbrella/Excess, and Cyber.
- Strong understanding of ACORD forms, ISO forms, and manuscript endorsements.
- Experience building operational teams and establishing workflow processes and quality assurance frameworks from the ground up.
- Ability to manage team capacity, monitor operational SLAs, and scale teams from approximately 10 employees to larger enterprise operations.
- Familiarity with AI/ML evaluation workflows, document extraction platforms, or Reinforcement Learning from Human Feedback (RLHF) methodologies.
- Strong analytical and problem-solving skills for identifying quality issues and translating findings into operational improvements.
- Ability to collaborate with client product leaders, machine learning engineers, and executive sponsors.
- Professional designations such as CPCU, CIC, or ARM are strongly preferred.
- Experience with Applied Epic, Vertafore, Hyperscience, or Glider is advantageous.
Responsibilities
- Design and implement the operational framework for the AI evaluation function.
- Launch and manage an initial team of approximately 10 insurance domain evaluators, then scale capacity and infrastructure as demand grows.
- Establish productivity and evaluation standards, quality audit rubrics, and calibration procedures.
- Conduct secondary reviews of complex insurance cases, coach evaluators, and audit policy edge cases.
- Track quality metrics and implement corrective actions to reduce errors across evaluation queues.
- Build and manage daily workflow queues, monitor throughput and capacity, and optimize resource allocation to meet client turnaround times and service-level agreements.
- Consolidate audit findings and lead feedback sessions with product and machine learning engineering teams.
- Translate insurance-domain insights into recommendations for prompts, model behavior, and evaluation logic.
- Recruit, mentor, manage, and evaluate insurance domain evaluators and partner with learning and development teams on training.
View Full Description & ApplyYou'll be redirected to the employer's site
