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Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions. Or CYBERSECURITY EXPERIENCE Experience that ...
Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions. Or CYBERSECURITY EXPERIENCE Experience that ...
Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions. Or CYBERSECURITY EXPERIENCE Experience that ...
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* Enterprise HR Analytics & AI Leadership: * Serve as the single accountable leader for all data ... Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value ...
* Enterprise HR Analytics & AI Leadership: * Serve as the single accountable leader for all data ... Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value ...
* Enterprise HR Analytics & AI Leadership: * Serve as the single accountable leader for all data ... Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value ...
* Enterprise HR Analytics & AI Leadership: * Serve as the single accountable leader for all data ... Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value ...
* Enterprise HR Analytics & AI Leadership: * Serve as the single accountable leader for all data ... Deliver insights on workforce planning, succession risk, skills inventory, employee lifetime value ...
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Ai Risk information
What is the difference between Ai Risk vs Data Scientist?
| Aspect | Ai Risk | Data Scientist |
|---|---|---|
| Required Credentials | Background in AI, risk management, certifications in AI safety | Degree in Computer Science, Statistics, or related fields; certifications in data analysis |
| Work Environment | Risk assessment teams, AI development projects, regulatory settings | Data analysis teams, research labs, tech companies |
| Employer & Industry Usage | Tech firms, AI safety organizations, regulatory agencies | Tech companies, finance, healthcare, research institutions |
| Common Search & Comparison Intent | Understanding AI risk roles, career differences | Data analysis careers, AI safety roles |
Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.
What are the most commonly searched types of Ai Risk jobs in Hawaii?
The most popular types of Ai Risk jobs in Hawaii are:
What job categories do people searching Ai Risk jobs in Hawaii look for?
The top searched job categories for Ai Risk jobs in Hawaii are:

IT Specialist 6 month Register-Direct Hire
Honolulu, HI
$106K/yr
Full-time
Posted 11 days ago
Internal Revenue Service rating
7.3
Based on 131 frontline employees who took The Breakroom Quiz
Job description
WHAT IS Information Technology Division?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
- Position(s) are to be filled in the following area(s):
- IT -
- Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8)Teamwork and 9) Technical Competence.
SPECIALIZED EXPERIENCE GS-13: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:
- Applying IT principles, methods, and engineering practices to develop, implement, integrate, maintain, troubleshoot, or enhance IT systems, cloud services, databases, hardware, software, applications, interfaces, scripts, or related technology environments.
- Developing, configuring, testing, deploying, documenting, or supporting IT solutions while ensuring compliance with applicable cybersecurity, privacy, accessibility, and regulatory requirements.
- Collaborating with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
- Evaluating system, service, cloud or application performance, availability, reliability, usability, and operational effectiveness; identifying technical issues, risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
- Analyzing multiple technical alternatives and advising management or IT specialists on the appropriate technologies, architectures, engineering approaches, or implementation strategies to support organizational objectives.
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
- Designing, developing, implementing, integrating, or supporting Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Natural Language Processing (NLP), predictive analytics or related technologies within an IT environment
- Evaluating AI-enabled systems for performance, reliability, security, scalability, or operation effectiveness and recommending technical improvements
- Applying AI governance, responsible AI, , security, privacy, or risk management during the design, development, deployment, or operation of AI solutions.
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
- Implementing, configuring, integrating, or supporting cybersecurity technologies, security controls, cloud security, identity management, security monitoring, or enterprise security solutions.
- Analyzing cybersecurity threats, vulnerabilities, incidents, compliance requirements or operational risks and recommending or implementing mitigation strategies.
- Evaluating systems, applications, cloud environments, or enterprise architectures to ensure compliance with cybersecurity requirements, security frameworks, or risk management principles.
SPECIALIZED EXPERIENCE GS-14: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:
- Leading or serving as the technical authority for complex IT projects, enterprise applications, cloud services, cybersecurity initiatives, systems integration efforts, or modernization programs affecting multiple organizations or business functions. Applying advanced IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements.
- Leading collaboration among customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
- Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or modernization efforts.
- Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists regarding enterprise architectures, technologies, cloud services, cybersecurity controls, engineering standards, or implementation strategies with organizational impact.
ARTIFICIAL INTELLIGENCE (AI) EXPERIENCE
Experience that includes one or more of the following:
- Leading or providing technical direction for AI, machine learning, or Generative AI solutions supporting enterprise business operations.
- Evaluating AI technologies, architecture, models, infrastructure or implementation strategies and recommend solutions or improvements.
- Developing or implementing technical approaches for AI governance, security, privacy, explainability, risk management, reliability, or responsible AI practices.
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
- Leading technical direction for the development, implementation , assessment, or improvement of cybersecurity programs, architectures, controls or solutions within an IT environment.
- Evaluating enterprise cybersecurity risks, threats, vulnerabilities, cloud security architectures, and technical requirements to develop or recommend risk mitigation strategies.
- Developing enterprise cybersecurity standards, technical guidance, security architectures or engineering solutions supporting secure IT operations.
Please refer to EDUCATION for remaining Qualifications
For more information on qualifications please refer to OPM's Qualifications Standards.Education:QUALIFICATIONS CONTINUED
SPECIALIZED EXPERIENCE GS-15: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-14 grade level in Federal service. Specialized experience for this position includes:
- Directing, overseeing, or providing strategic guidance for major IT programs, enterprise-level projects, technology modernization efforts, or high-visibility initiatives with broad organizational, agency-wide, or mission impact.
- Applying IT principles, to evaluate requirements, resolve complex technical issues, guide architecture and design decisions, and ensure compliance with cybersecurity, privacy, accessibility, and federal requirements..
- Collaborating with executives, senior leaders, customers, stakeholders, program or product leaders, and technical organizations to define mission needs, set priorities, and direct implementation of secure, resilient, scalable, and mission-effective IT solutions.
- Overseeing enterprise technology governance, risk management, modernization planning, and implementation efforts across multiple organizations. Evaluating competing technical, operational, software, and strategic approaches and advising senior leadership or executive stakeholders on decisions, tradeoffs, policies, standards, governance, and resolution of IT challenges that affect mission delivery.
ARTIFICIAL INTELLIGENCE EXPERIENCE
Experience that includes one or more of the following:
- Leading enterprise AI strategies or directing the design, development, integration, or implementation of Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, or related technologies.
- Establishing enterprise AI architectures, governance, technical standards, security requirements, or modernization strategies.
- Advising executive leadership regarding AI strategy, responsible AI implementation, enterprise data architecture, vendor capabilities, or AI-enabled modernization initiatives.
CYBERSECURITY EXPERIENCE
Experience that includes one or more of the following:
- Providing executive-level technical leadership for enterprise cybersecurity, cloud security, Zero Trust, identity management, enterprise risk management, or infrastructure protection initiatives.
- Developing enterprise cybersecurity architectures, modernization strategies, technical standards, or risk management frameworks.
- Advising executive leadership regarding enterprise cybersecurity strategy, emerging threats, modernization priorities, technology investments, or government-wide cybersecurity initiatives.
You must also meet the following requirements - MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
- Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
- Completed a formal vocational training program; or
- Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.
EDUCATION
A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER
What Internal Revenue Service employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Internal Revenue Service
Sourced by ZipRecruiter
Industry
Public administration
Company size
10,000+ Employees
Headquarters location
Washington, DC, US