[Remote] AI Enablement Analyst

Note: The job is a remote job and is open to candidates in USA. 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

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