AI Enablement Analyst

Summary

Dice is hiring an AI Enablement Analyst to serve as a primary point of contact for AI initiatives across the organization. The role helps teams identify, evaluate, pilot, and operationalize AI solutions while managing adoption metrics, responsible AI practices, training materials, and user enablement activities.

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
• Individuals currently serving on an IEEE board or committee are not eligible to apply
• 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
• 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
• individuals currently serving on an IEEE board or committee are not eligible to apply
• 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

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