AI Enablement Digital Specialist

Overview:

Engagement Type

Contract

Key Responsibilities

Design, produce, and maintain a library of AI

training content, including on-demand video tutorials, screen recordings,

quick-start guides, job aids, FAQs, and prompt libraries tailored to specific

business functions.

Develop and deliver live training sessions,

workshops, and office hours for audiences of varying technical comfort,

covering practical use of tools such as Claude, ChatGPT, and Microsoft Copilot.

Create internal digital communications and

awareness campaigns - newsletters, intranet content, Teams and Slack

announcements, and demo showcases - to build AI literacy and sustain engagement

across the organization.

Partner with department leaders to observe

workflows, identify high-value AI use cases, and build repeatable playbooks for

common patterns such as drafting, summarization, research, and analysis.

Establish and support an internal AI Champions

network, equipping champions with materials and coaching to scale enablement

within their own teams.

Evaluate emerging AI tools and features, run

pilots and proofs of concept, and make recommendations on tool selection,

licensing, and rollout.

Develop and communicate responsible AI usage

guidance covering data privacy, confidentiality, acceptable use, verification

of outputs, disclosure expectations, and awareness of bias and hallucination

risks, in partnership with IT, Security, Legal, and Compliance.

Support users through change, addressing

hesitancy and resistance and building confidence in new ways of working.

Define and report adoption metrics, including

active usage, license utilization, training completion, time saved, and

qualitative feedback, and use these to refine the enablement roadmap.

Maintain the internal AI knowledge base and keep

all guidance current as tools, features, and policies evolve.

Gather user feedback and translate business

needs into clear requirements for technical and vendor teams when deeper

implementation is required.

Preferred Qualifications

Experience with video production and editing

tools.

Background in change management, with

familiarity with frameworks such as ADKAR or Prosci.

Experience running enterprise-wide technology

adoption programs or a champions network.

Familiarity with no-code and low-code automation

tools such as Power Automate, Zapier, or custom GPTs and Claude Projects.

Awareness of enterprise AI governance topics,

including acceptable use policy development and vendor risk considerations.

Graphic design or motion graphics capabilityRequired/Desired Skills

Skill Required/Desired Amount of Experience - Experience with video production and editing tools. Required - Background in change management, with familiarity with frameworks such as ADKAR or Prosci. Required - Experience running enterprise-wide technology adoption programs or a champions network. Required - Familiarity with no-code and low-code automation tools such as Power Automate, Zapier, or custom GPTs and Claude Projects. Required - Awareness of enterprise AI governance topics, including acceptable use policy development and vendor risk considerations. Required - Graphic design or motion graphics capability. Required

Skills:

- Experience with video production and editing tools.,- Background in change management,with familiarity with frameworks such as ADKAR or Prosci.,- Experience running enterprise-wide technology adoption programs or a champions network.,- Familiarity with no-code and low-code automation tools such as Power Automate,Zapier,or custom GPTs and Claude Projects.,- Awareness of enterprise AI governance topics,including acceptable use policy development and vendor risk considerations.,- Graphic design or motion graphics capability.