AI Enablement Analyst (E6192)

Institute of Electrical and Electronics Engineers • Piscataway, NJ

2d

About The Position

As a key member of the Applied AI and Enablement Team, the AI Enablement Analyst acts as the primary point of contact for AI initiatives across the organization. The role empowers diverse teams to identify, evaluate, and operationalize AI solutions and workflows that enhance productivity. The Analyst bridges technology and business by gathering requirements, assessing the feasibility and risks of AI solutions, and championing adoption through hands-on training. The ideal candidate is analytical, detail-oriented, knowledgeable about the current AI landscape, and able to turn complex concepts into engaging training materials for technical and non-technical audiences.

The position involves partnering with business units to identify suitable workflows, evaluating AI tools, supporting pilots, tracking adoption, maintaining an inventory of tools and use cases, and helping ensure responsible and compliant use. It also includes developing a centralized collection of training materials and hosting virtual sessions and communities to support staff.

Travel is 15% to 20%, domestic and international. The position is classified under Category I - Office Positions. For information about work demands and conditions, the job description refers applicants to the ADA Requirements reference document. The role is not budgeted for employer-sponsored immigration support. Individuals currently serving on an IEEE board or committee are not eligible to apply.

Requirements

• Bachelor’s degree in Business, Information Systems, Data Analytics, a related field, or equivalent professional experience.
• At least 4 years of experience in business analysis, digital transformation, technology implementation, or a similar field.
• Strong practical knowledge of modern AI tools such as Gemini, Claude, and Copilot, including their capabilities, limitations, and risks in a professional setting.
• Prior experience systematically evaluating AI outputs against human baselines.
• Ability to analyze business processes and evaluate where AI solutions will deliver genuine ROI compared with standard workflow automation.
• Solid understanding of enterprise data privacy and Responsible AI principles.
• Strong analytical skills, including gathering requirements, comparing options against criteria, and presenting recommendations.
• Excellent written and verbal communication skills, including the ability to advocate for the organizational unit and explain technical AI concepts in plain language to non-technical stakeholders.
• Experience driving technology adoption, including process documentation, workflow mapping, designing user training, and tracking post-launch usage metrics.
• Individuals currently serving on an IEEE board or committee are not eligible to apply.
• The position is not budgeted for employer-sponsored immigration support for individuals in F (including CPT and OPT), J, H, L, or O status.

Nice To Haves

• Experience creating structured learning content such as curricula, guides, or e-learning modules.
• Hands-on experience helping an organization implement AI governance frameworks.
• Familiarity with data visualization or dashboarding tools such as Tableau or Power BI.
• Background in project management or IT project coordination.
• Prior experience supporting technology adoption within a nonprofit, association, or technical/engineering organization.

Responsibilities

• Partner with business units to identify workflows and pain points where AI tools could improve efficiency or quality.
• Evaluate candidate AI tools against criteria including functionality, data handling, integration fit, cost, and security, and document findings for stakeholder review.
• Support pilots of AI tools or use cases by defining success metrics, coordinating test groups, and reporting results.
• Track and report AI adoption metrics, including usage, efficiency gains, and user satisfaction, and build dashboards where useful.
• Maintain an inventory of AI tools and use cases.
• Work with teams to ensure new AI use cases follow Responsible AI principles, data privacy guidelines, and procurement requirements.
• Develop and manage a centralized repository of tailored training materials, including 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level