US Life Insurance - Underwriting Manager

Manager - Life Insurance Underwriting Automation

Permanent

Pune

Experience :

Mandatory Skills

We are seeking a highly skilled Underwriting Automation Specialist who can seamlessly bridge underwriting expertise with automation technology.

• The ideal candidate will have a strong grasp of US Life underwriting processes, automation systems, and data-driven decision modelling, enabling them to translate business logic into intelligent rules and workflows.
• This role plays a vital part in developing, testing, and refining automation models that improve underwriting accuracy and efficiency across global teams.

Key Responsibilities:

• Develop, test, and enhance underwriting rules and automation workflows.
• Partner with underwriters to

  convert guidelines into executable logic and decision rules.

• Leverage behavioural economics to script underwriting questions (question engine) that guide insureds toward clear disclosures, improving response accuracy and underwriting data quality.
• Collaborate with technology teams to integrate diverse data sources into automated systems.
• Support the creation of proprietary models and decision engines for automated underwriting.
• Conduct UAT testing to validate rule functionality and accuracy.
• Serve as a liaison between underwriting and technology teams, ensuring seamless collaboration and understanding.
• Ensure all rules and data usage adhere to US regulatory and compliance standards.
• Build underwriter confidence in automation by demonstrating accuracy, transparency, and consistency in rule logic.
• Contribute to long-term plans for scalability and building in-house models

Good to have qualifications:

• Strong understanding of US Life Underwriting and

  relevant state regulations.
• Background in medical or technical disciplines (e.g., doctors / pharmacy graduates or analysts with automation experience).

• Proven experience with automation tools, rule engines, or decision modelling systems.

• Familiarity with a broad range of US data sourcesmedical, non-medical, pharmacy, and public records. ( eg: EHRs, APS, credit scores, MIB etc.)
• Hands-on experience in rule testing, UAT, or automation deployments.
• Strong analytical, communication, and stakeholder management skills.
• Demonstrated ability to collaborate across business and technology functions.
• Comfortable working with global teams across time zones.

If Interested, kindly share me your updated profile along with below details.

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