Director of AI Strategy & Enablement
- Company: Jobgether
- Location: US
- Work mode: On-site
- Job type: Full-Time
- Posted: 2026-10-29
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of AI Strategy & Enablement based in the United States.
The Director of AI Strategy & Enablement will lead the development and adoption of practical, responsible AI capabilities across a large, multi-site professional network. This strategic leadership role focuses on transforming emerging AI technologies into meaningful improvements in workflows, decision-making, organizational learning, and operational effectiveness. You will partner with teams across the organization to identify opportunities, redesign processes, establish governance principles, and build sustainable AI skills. Through hands-on consultation, training, and peer learning, you will empower staff to use AI confidently while preserving human expertise and creativity. The role combines organizational strategy, change management, technology enablement, and ethical leadership in a mission-driven environment. Initially focused on internal operations, the position is expected to expand its reach by sharing resources and best practices with affiliated campus organizations.
Accountabilities:
As the organization’s AI enablement leader, you will establish the strategic direction for AI adoption while helping teams implement practical solutions and build lasting capabilities. Your responsibilities will include:
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Partner with organizational learning teams to maximize the value of existing data, research, evaluation, and performance measurement infrastructure.
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Apply AI to connect information across student engagement, program outcomes, campus performance, development, and operations, identifying patterns that inform strategic decisions and improve outcomes.
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Help teams formulate meaningful questions about organizational data and translate insights into actionable priorities for people, funding, and strategy.
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Define the vision, governance, and strategic direction for AI adoption across the organization and its broader professional network.
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Serve as an embedded consultant to teams, facilitating opportunity identification, workflow redesign, and the development of practical AI use cases and best practices.
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Collaborate with designated AI enablement leads to transfer knowledge and build the internal capacity needed for teams to sustain and expand their own AI initiatives.
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Develop peer-learning networks that allow successful approaches to be shared, refined, and adopted across departments and affiliated organizations.
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Establish clear, practical guidelines for responsible AI use, addressing data privacy and quality, bias, accuracy, transparency, and environmental impact.
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Engage constructively with staff concerns and skepticism, helping colleagues understand AI's limitations and ethical implications while positioning it as a tool to enhance human expertise and creativity.
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Guide the selection and implementation of enterprise-grade AI platforms, secure access mechanisms, and supporting technology infrastructure.
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Establish standards that protect data integrity and organizational quality while ensuring AI tools remain accessible, useful, and practical for staff.
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Coordinate technology implementation, integration, and operational support in collaboration with relevant internal teams.
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Develop and oversee an organization-wide enablement strategy combining training, embedded consultation, peer learning, and hands-on implementation support.
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Integrate AI learning modules into existing professional development programs and equip staff to identify opportunities, solve problems, and apply AI to organizational priorities.
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Incorporate honest discussions of AI's limitations, risks, and trade-offs into training to encourage informed, responsible adoption.
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Initially prioritize internal organizational needs, with consultation and resource sharing across affiliated campus organizations anticipated during the second year.
Requirements:
The ideal candidate is an experienced builder and collaborator who understands modern AI tools, excels at helping others learn, and can establish a new organizational capability without relying on an existing playbook. A software engineering background is not required, but strong practical AI fluency and organizational leadership are essential.
Required qualifications include:
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Typically 8 or more years of professional experience in learning and development, change management, organizational development, digital transformation, or a closely related field.
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Demonstrated hands-on experience with modern AI tools, including large language models and enterprise AI platforms, with a clear understanding of their capabilities and limitations.
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Proven ability to drive technology adoption across an organization, helping people move from initial curiosity to confident, sustained use.
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Experience translating complex technical concepts into accessible language, practical workflows, and actionable guidance for non-technical audiences.
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Strong facilitation and adult-learning skills, including experience designing and delivering training or enablement programs.
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A collaborative approach to setting priorities, building new capabilities, and moving fluidly between strategic planning and hands-on implementation.
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Ability to discuss AI's ethical, cultural, and environmental implications credibly, including its risks and limitations, and to engage thoughtfully with colleagues' concerns.
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A strong commitment to using AI to augment human creativity and expertise, supported by sound judgment about appropriate use cases and boundaries.
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Excellent communication and relationship-building skills, including the ability to advise, influence, and collaborate with senior leadership.
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Sound judgment regarding data integrity, privacy, and the responsible use of organizational information.
Preferred qualifications include:
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A strong interest in the organization's mission and the communities it serves.
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Experience in nonprofit, mission-driven, higher-education, multi-site, or federated organizations.
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Familiarity with AI and productivity tools such as Claude, Gemini, Google Workspace, Salesforce, and Slack AI.
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Practical experience developing AI workflows, prompts, or connectors that incorporate organizational knowledge, context, and voice into AI-enabled tools.
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Familiarity with AI ethics, responsible AI frameworks, and the environmental implications of large-scale AI adoption.
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Data and analytics literacy sufficient to help teams formulate strategic questions and interpret insights from existing data.
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Experience establishing a new program, function, or organizational capability in a growing or evolving environment.
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Familiarity with Jewish communal life, campus communities, or the populations served by the organization.
Benefits:
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Annual salary range of $115,000–$130,000 USD.
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Fully remote work for eligible candidates based in the United States.
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Flexible working hours and location.
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Preference for candidates able to work in a hybrid arrangement at the Washington, D.C. headquarters one to two days per week.
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Comprehensive health insurance.
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Retirement plan.
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Life, accidental death and dismemberment (AD&D), and long-term disability insurance.
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Flexible Spending Accounts (FSAs).
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Generous vacation and sick leave.
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Parental leave.
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Opportunity to shape a significant organizational AI strategy at an important moment for Jewish students and campus life.
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The opportunity to build sustainable AI capabilities, influence organizational transformation, and help teams adopt emerging technologies responsibly.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist