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Ai Risk Manager Jobs in Vermont (NOW HIRING)

... AI-enabled functionality, and digital products across EMEA. * Work with internal teams and external ... Deliver training to internal teams on contracts, privacy, compliance, risk management, and legal ...

... or edge AI sector. * Proven operational background in Sales, Business Operations, or cross ... Proactive approach to risk management, timeline execution, and cross-departmental accountability ...

... or edge AI sector. * Proven operational background in Sales, Business Operations, or cross ... Proactive approach to risk management, timeline execution, and cross-departmental accountability ...

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... The ability to balance security principles with business realities as part of a risk-managed ...

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... The ability to balance security principles with business realities as part of a risk-managed ...

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital ... The ability to balance security principles with business realities as part of a risk-managed ...

Showing results 21-40

Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

Infographic showing various Ai Risk Manager job openings in Vermont as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Commercial Credit Operations Administrator

Union Bank

Morrisville, VT • On-site

$70K - $80K/yr

Full-time

Posted 6 days ago


Job description

Description:

Commercial Credit Operations Administrator


We are seeking a Full-time Commercial Credit Operations Administrator who will be responsible for serving as the operational administrator and subject matter expert for commercial credit systems, reporting processes, workflow administration, data governance, appraisal administration, and flood compliance activities that support Commercial Credit Administration.


Responsibilities:

  • Serve as the subject matter expert for Commercial Credit operational systems, workflows, reporting, appraisal administration, and flood compliance processes.
  • Analyze and improve operational processes, controls, data integrity, and risk management practices to enhance efficiency and compliance.
  • Develop and maintain management reporting and data analytics to support portfolio oversight, risk monitoring, and strategic decision-making.
  • Administer and optimize the Commercial Loan Origination System (LOS), including workflows, system configurations, reporting, and user support.
  • Ensure the accuracy, completeness, and integrity of commercial lending data across multiple systems and reporting platforms.
  • Oversee commercial appraisal and collateral valuation processes to ensure compliance with regulatory requirements and Bank policies.
  • Manage commercial flood compliance activities, including determinations, insurance calculations, exception tracking, and regulatory adherence.
  • Support technology, automation, and AI initiatives to improve operational efficiency, reporting effectiveness, and process standardization.
  • Lead operational process improvement initiatives, workflow enhancements, and implementation of internal controls.
  • Support audits, examinations, loan reviews, and remediation efforts by maintaining documentation and strengthening operational controls.
  • Partner with Commercial Lending, Credit Administration, Compliance, IT, and other stakeholders to resolve operational and system-related issues.

Note: This summary highlights the primary responsibilities of the role and does not include all duties and responsibilities.


Requirements:
  • Bachelor’s degree in Business, Finance, Accounting, Information Systems, Data Analytics, Economics, or related field preferred; equivalent experience may be considered.
  • 3-7 years of banking, loan operations, credit administration, system administration, reporting, data analysis, or related experience preferred.
  • Experience working with commercial lending systems and banking applications.
  • Strong understanding of commercial lending operations and credit administration processes.
  • Demonstrated experience producing management reporting and operational analysis.
  • Strong Excel, reporting, and database skills.
  • Experience supporting audits, exams, operational controls, or process improvement initiatives preferred.
  • Strong technology aptitude and ability to learn new systems quickly.
  • Experience with workflow automation, AI tools, reporting platforms, or process improvement initiatives preferred.
  • Demonstrated ability to analyze operational issues, evaluate alternatives, exercise independent judgment, and recommend solutions.
  • Ability to interpret policies, procedures, regulatory requirements, and system functionality and determine appropriate operational implementation.
  • Ability to manage multiple operational processes with limited supervision.
  • Ability to serve as a subject matter expert and resource to management and business partners.


Salary description: $70K-$80K/ Annually