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Insurance Licensing Manager Jobs in California (NOW HIRING)

StaffMyAgency LLC

INSURANCE AGENT TRAINEE

San Jose, CA · On-site

$120K - $150K/yr

Proficient with CRM systems * Must obtain state insurance licensing (paid by us) * Experienced insurance Sales Producers with a proven track record of sales, will have the option to work from home ...

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Insurance Licensing Manager information

What are the key skills and qualifications needed to thrive as an insurance licensing manager?

To thrive as an Insurance Licensing Manager, you need in-depth knowledge of insurance regulations, licensing requirements, and compliance, typically backed by a bachelor's degree and relevant industry experience. Familiarity with licensing management software, regulatory databases, and proficiency in Microsoft Office applications are essential technical skills. Strong organizational abilities, attention to detail, and excellent communication are key soft skills that set candidates apart. These competencies ensure accurate, timely licensing processes, reduce compliance risks, and facilitate smooth operations within insurance organizations.

What does an insurance licensing manager do?

An Insurance Licensing Manager oversees the process of obtaining and maintaining licenses for insurance agents and the organization. They ensure that all agents comply with state and federal regulations, monitor renewal deadlines, and stay updated on licensing requirements. Additionally, they may handle audits, coordinate training, and work closely with regulatory agencies to resolve any licensing issues. Their work is essential to ensure the company and its staff are legally authorized to sell insurance products.

What are some common challenges faced by an insurance licensing manager and how can they be effectively addressed?

Insurance Licensing Managers often encounter challenges such as keeping up with constantly changing state regulations, managing large volumes of licensing renewals, and ensuring timely compliance across multiple jurisdictions. Effective solutions include implementing robust tracking systems, staying updated on regulatory changes through industry networks, and fostering strong communication channels with agents and compliance teams. Proactively addressing these challenges helps minimize compliance risks and enhances operational efficiency within the organization.

What is the difference between Insurance Licensing Manager vs Insurance Underwriter?

AspectInsurance Licensing ManagerInsurance Underwriter
Required CredentialsLicensing certifications, industry licensesProfessional certifications, underwriting licenses
Work EnvironmentRegulatory compliance, licensing departmentsRisk assessment, policy evaluation
Employer & Industry UsageInsurance companies, agencies, regulatory bodiesInsurance companies, brokers, underwriting firms
Common Search & ComparisonRegulatory roles, licensing processesRisk analysis, policy approval

The Insurance Licensing Manager primarily focuses on managing licensing compliance, ensuring agents and brokers meet regulatory requirements. In contrast, an Insurance Underwriter evaluates risks and determines policy terms. While both roles are essential in the insurance industry, they serve different functions related to compliance versus risk assessment.

What are popular job titles related to Insurance Licensing Manager jobs in California? For Insurance Licensing Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Insurance Licensing Manager jobs in California look for? The top searched job categories for Insurance Licensing Manager jobs in California are:
What cities in California are hiring for Insurance Licensing Manager jobs? Cities in California with the most Insurance Licensing Manager job openings:
Insurance Licensing Manager jobs near you
Infographic showing various Insurance Licensing Manager job openings in California as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Manager, Artificial Intelligence Governance

Sutter Health

Sacramento, CA • On-site

$177K - $266K/yr

Full-time

Posted 9 days ago

Sutter Health rating

8.2

Company rating: 8.2 out of 10

Based on 326 frontline employees who took The Breakroom Quiz

55th of 887 rated healthcare providers

Job description

We are so glad you are interested in joining Sutter Health!
Organization:
SHSO-Sutter Health System Office-Valley
Position Overview:
Leads Sutter Health's artificial intelligence (AI) governance program. Sets the target operating model, policy framework, and program priorities that shape how AI governance is performed at Sutter Health and how it evolves within a rapidly changing regulatory, technical, and organizational landscape. Leads a team of AI governance analysts and operates the program directly alongside them - leading high-complexity reviews, drafting policy and standards, and making day-to-day prioritization decisions across a high-volume queue of AI use cases. Convenes and aligns the many groups that must participate in AI governance and partners closely with data science and applied AI leadership to integrate governance requirements across the model development and monitoring lifecycle.
Job Description:
****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the office on a consistent basis to support team collaboration and business needs.****
EDUCATION:
Equivalent experience will be accepted in lieu of the required degree or diploma.
  • Bachelor's degree in Health Informatics, Computer Science, Information Management, Public Health, Health Administration, Law, or related field.

TYPICAL EXPERIENCE:
  • 5 recent relevant experience

SKILLS AND KNOWLEDGE:
  • Experience in healthcare data governance, AI/ML governance, model risk management, or regulatory compliance.
  • Experience leading or coordinating cross-functional governance, risk, or compliance programs.
  • Direct experience supporting AI/ML or advanced analytics programs.
  • Strong organization and prioritization skills across a large, varied portfolio of work and competing demands.
  • Demonstrated ability to convene, align, and drive decisions among diverse stakeholder groups, including clinical, technical, legal, privacy, security, compliance, and operational.
  • Working knowledge of machine learning and generative AI concepts, the model development lifecycle, and common failure modes (bias, drift, hallucination, data leakage).
  • Possess an understanding of technical concepts related to AI observability, including performance instrumentation for deployed models; familiarity with advanced monitoring techniques such as Large Language Model (LLM)-as-a-judge evaluation, automated output quality assessment, and monitoring of agentic AI workflows, including tool use, multi-step reasoning, and autonomous decision chains.
  • Familiarity with AI governance frameworks (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework [NIST AI RMF], Coalition for Health AI [CHAI] Assurance Standards, International Organization for Standardization/International Electrotechnical Commission [ISO/IEC] 42001), healthcare regulations (Health Insurance Portability and Accountability Act [HIPAA], Food and Drug Administration [FDA] Software as a Medical Device [SaMD] guidance, Office of the National Coordinator for Health Information Technology [ONC] Health Data, Technology, and Interoperability [HTI-1] rule), and emerging state-level AI regulation.
  • Demonstrated ability to design and operate governance processes that are practical, auditable, and minimize friction for delivery teams.
  • Strong facilitation and written communication; able to lead committees and translate complex AI risk concepts for executive, clinical, and front-line audiences.
  • Demonstrated ability to manage team capacity, prioritization, and delivery across a high-volume, multi-stakeholder portfolio.
  • Experience coaching and developing staff in both technical and governance/regulatory domains.

These Principal Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).
Job Shift:
Days
Schedule:
Full Time
Days of the Week:
Monday - Friday
Weekend Requirements:
None
Benefits:
Yes
Unions:
No
Position Status:
Exempt
Weekly Hours:
40
Employee Status:
Regular
Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.
Pay Range is $156,332.80 to $234,478.40 / annual salary. Bay Area - San Francisco Pay Range is $177,632.00 to $266,448.00 / annual salary.
The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate's experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health's comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

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