IEEE
Posted 5 days agoVerified live 1d ago
AI Enablement Analyst
Brief overview
Remote
UndergradOr in progress
3+ yrsMinimum
7 H-1B approvalsDept. of Labor
1 green cardsCertified filings
GeminiClaudeCopilotAI Output EvaluationBusiness Process AnalysisResponsible AIEnterprise Data PrivacyRequirements GatheringWorkflow MappingUser Training DesignAI Adoption MetricsWritten and Verbal Communication
About the company
IEEEieee.org
IEEE is the world’s largest technical professional organization and is a public charity dedicated to advancing technological innovation and excellence for the benefit of humanity.
Visa sponsorship history
3 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.7H-1B approved
100%approval rate
1new H-1B hires
1PERM certified
$179,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20234
20242
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
Top sponsored roles
Lead Product ArchitectManager, Publishing SystemsData Analytics Alliances and Programs Sr Manager
Sponsored employees from
Canada
Job description
Summary
IEEE is seeking an AI Enablement Analyst to support organization-wide artificial intelligence initiatives. The role identifies and evaluates AI solutions, supports pilots, tracks adoption metrics, ensures responsible implementation, and develops training resources to help technical and non-technical staff adopt approved tools.
Responsibilities
- Partner with business units to identify workflows and pain points where AI tools could improve efficiency or quality
- Evaluate candidate AI tools against defined criteria (functionality, data handling, integration fit, cost, security) and document findings for stakeholder review
- Support pilots of new AI tools or use cases by defining success metrics, coordinating test groups, and reporting results
- Track and report on AI adoption metrics (usage, efficiency gains, user satisfaction), building dashboards where useful
- Maintain an inventory of new AI tools and use cases
- Work with respective teams to ensure new AI use cases follow Responsible AI principles, data privacy guidelines, and procurement requirements
- Develop and manage a centralized repository of clear, tailored training materials, encompassing quick-reference guides, video tutorials, approved use-case examples, and prompt libraries
- Host virtual office hours, interactive Q&A sessions, peer show-and-tells, and user communities to help staff troubleshoot tools and adopt responsible AI practices
Skills
- Bachelor's degree in Business, Information Systems, Data Analytics, a related field, or equivalent professional experience
- Minimum of 3 years of experience in business analysis, digital transformation, technology implementation, or a similar field
- Strong practical knowledge of the modern AI tools (Gemini, Claude, Copilot), practical understanding of their capabilities, limitations, and risks in a professional setting, prior experience in systematically evaluating AI outputs against human baselines
- Proven ability to analyze business processes and evaluate where AI solutions will drive genuine ROI compared to standard workflow automation
- Solid understanding of enterprise data privacy and Responsible AI principles
- Strong analytical skills, including comfort gathering requirements, comparing options against criteria, and presenting recommendations
- Excellent written and verbal communication skills, with the ability to confidently translate technical AI concepts into plain language for non-technical stakeholders
- Experience driving technology adoption, including process documentation, workflow mapping, designing user training, and tracking post-launch usage metrics
- Experience creating structured learning content (curricula, guides, e-learning modules)
- Hands-on experience helping an organization implement AI governance frameworks
- Familiarity with data visualization or dashboarding tools (e.g., Tableau, Power BI)
- Background in project management or IT project coordination
- Prior experience supporting technology adoption within a nonprofit, association, or technical/engineering organization
Qualifications
Must Haves
- Bachelor's degree in Business, Information Systems, Data Analytics, a related field, or equivalent professional experience
- Minimum of 3 years of experience in business analysis, digital transformation, technology implementation, or a similar field
- Strong practical knowledge of the modern AI tools (Gemini, Claude, Copilot), practical understanding of their capabilities, limitations, and risks in a professional setting, prior experience in systematically evaluating AI outputs against human baselines
- Proven ability to analyze business processes and evaluate where AI solutions will drive genuine ROI compared to standard workflow automation
- Solid understanding of enterprise data privacy and Responsible AI principles
- Strong analytical skills, including comfort gathering requirements, comparing options against criteria, and presenting recommendations
- Excellent written and verbal communication skills, with the ability to confidently translate technical AI concepts into plain language for non-technical stakeholders
- Experience driving technology adoption, including process documentation, workflow mapping, designing user training, and tracking post-launch usage metrics
Nice to Haves
- Experience creating structured learning content (curricula, guides, e-learning modules)
- Hands-on experience helping an organization implement AI governance frameworks
- Familiarity with data visualization or dashboarding tools (e.g., Tableau, Power BI)
- Background in project management or IT project coordination
- Prior experience supporting technology adoption within a nonprofit, association, or technical/engineering organization
