Director of AI Strategy & Enablement

New

JobgetherAI enablement

Fully remote work for eligible candidates based in the United States.Full-TimeDirector

Salary115,000 - 130,000 USD per year

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Job Details

Experience: Typically 8 or more years of professional experience in learning and development, change management, organizational development, digital transformation, or a closely related field.
Required Skills: Artificial IntelligenceChange ManagementLLM

Typically 8 or more years of professional experience in learning and development, change management, organizational development, digital transformation, or a closely related field.
Demonstrated hands-on experience with modern AI tools, including large language models and enterprise AI platforms.
Clear understanding of modern AI tools’ capabilities and limitations.
Proven ability to drive technology adoption across an organization, from initial curiosity to confident, sustained use.
Experience translating complex technical concepts into accessible language, practical workflows, and actionable guidance for non-technical audiences.
Strong facilitation and adult-learning skills, including experience designing and delivering training or enablement programs.
Ability to discuss AI’s ethical, cultural, and environmental implications, risks, and limitations, and to engage thoughtfully with colleagues’ concerns.
Sound judgment regarding data integrity, privacy, and responsible use of organizational information.
Familiarity with AI and productivity tools such as Claude, Gemini, Google Workspace, Salesforce, and Slack AI.
Practical experience developing AI workflows, prompts, or connectors that incorporate organizational knowledge, context, and voice.

Define the vision, governance, and strategic direction for AI adoption across the organization and its professional network.
Consult with teams to identify opportunities, redesign workflows, and develop practical AI use cases and best practices.
Apply AI to connect organizational data and identify patterns that inform strategic decisions and improve outcomes.
Help teams formulate questions about organizational data and translate insights into actionable priorities.
Guide the selection and implementation of enterprise-grade AI platforms, secure access mechanisms, and supporting technology infrastructure.
Establish practical responsible-AI guidelines addressing data privacy and quality, bias, accuracy, transparency, and environmental impact.
Develop an enablement strategy that combines training, embedded consultation, peer learning, and hands-on implementation support.
Integrate AI learning modules into professional development programs and incorporate discussions of AI limitations, risks, and trade-offs.
Build peer-learning networks and transfer knowledge to designated AI enablement leads and affiliated organizations.

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