Job Summary
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. This role empowers diverse teams throughout the organization to identify, evaluate, and operationalize AI solutions that enhance productivity. The Analyst bridges the gap between technology and business by gathering requirements, assessing the feasibility and risks of new AI tools, and championing the adoption of approved solutions through comprehensive, hands-on training.
The ideal candidate is highly analytical, detail-oriented, and deeply versed in the current AI landscape, with a proven ability to translate complex technical concepts into accessible, engaging education for both technical and non-technical audiences.
Key Responsibilities
Specific duties include but not limited to:
Education
Bachelor’s degree in Business, Information Systems, Data Analytics, a related field, or equivalent professional experience.
Work Experience
Minimum of 3 years of experience in business analysis, digital transformation, technology implementation, or a similar field.
Skills and Requirements
· 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.
Other Requirements:
As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.
PLEASE NOTE\: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.
For information on work demands and conditions required for this position, please consult the reference document, ADA Requirements. This position is classified under Category I - Office Positions.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Disclaimer\: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.
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