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Insurance Policy Administration Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a skilled Insurance Policy Administration AI Expert to join our team and help transform core insurance operations through intelligent ...

Must-have skills: 1. Oracle Insurance Policy Administration(OIPA) 2. Java 3. Insurance elements Responsibilities: 1. 2 - 4 years of experience of Oracle Insurance Policy Administration (OIPA) in Life ...

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Insurance Policy Administration information

What does an insurance policy administration do?

An insurance policy administrator manages and processes insurance policies, including issuing new policies, updating existing ones, and handling renewals and claims. They ensure policy information is accurate, maintain records, and often use specialized software to support policy management tasks.

What cities are hiring for Insurance Policy Administration jobs?

Cities with the most Insurance Policy Administration job openings:

What states have the most Insurance Policy Administration jobs?

States with the most job openings for Insurance Policy Administration jobs include:

What are popular job titles related to Insurance Policy Administration jobs?

For Insurance Policy Administration jobs, the most frequently searched job titles are:

Infographic showing various Insurance Policy Administration job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Insurance Policy Administration AI Expert

Remote

$100 - $120/hr

Part-time

Re-posted 22 days ago


Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a skilled Insurance Policy Administration AI Expert to join our team and help transform core insurance operations through intelligent automation and data-driven insights. This role sits at the intersection of insurance domain expertise and applied AI, focusing on optimizing policy lifecycle processes such as issuance, endorsements, and renewals while ensuring compliance and accuracy.
Requirements
Key Responsibilities:
  • Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals.
  • Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks.
  • Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining high accuracy and auditability.
  • Build intelligent systems for document processing, policy validation, and exception handling using NLP, rule engines, and predictive models.
  • Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling.
  • Ensure AI systems align with regulatory requirements across jurisdictions, incorporating compliance checks into automated workflows.
  • Monitor model performance, accuracy, and bias, continuously improving systems based on feedback and evolving regulatory standards.
  • Support integration of AI solutions with policy administration systems (PAS), core insurance platforms, and third-party data providers.
  • Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field.
  • 2-7 years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain.
  • Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals.
  • Deep knowledge of insurance coverage structures, policy language, and risk interpretation.
  • Experience with AI/ML techniques such as Natural Language Processing (NLP), classification models, and rule-based systems.
  • Familiarity with regulatory and compliance frameworks (e.g., IRDAI guidelines, GDPR, or other regional insurance regulations).
  • Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch, or similar).
  • Ability to translate business requirements into technical solutions and vice versa.
  • Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing.

Preferred Qualifications:
  • Experience working with Policy Administration Systems (e.g., Guidewire, Duck Creek, or similar platforms).
  • Exposure to intelligent document processing (IDP) and OCR technologies.
  • Understanding of underwriting principles and claims impact on policy structures.
  • Experience in implementing AI governance or model risk management frameworks.