AI Enablement Analyst

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Job Description - AI Enablement Analyst (260332)

Job Description

AI Enablement Analyst - 260332 : KNW-B40

Description

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.

• 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.

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…