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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