Want to know if this job is worth applying to?
United States
Hybrid
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.
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:
Partner with organizational learning teams to maximize the value of existing data, research, evaluation, and performance measurement infrastructure.
Apply AI to connect information across student engagement, program outcomes, campus performance, development, and operations, identifying patterns that inform strategic decisions and improve outcomes.
Help teams formulate meaningful questions about organizational data and translate insights into actionable priorities for people, funding, and strategy.
Define the vision, governance, and strategic direction for AI adoption across the organization and its broader professional network.
Serve as an embedded consultant to teams, facilitating opportunity identification, workflow redesign, and the development of practical AI use cases and best practices.
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.
Develop peer-learning networks that allow successful approaches to be shared, refined, and adopted across departments and affiliated organizations.
Establish clear, practical guidelines for responsible AI use, addressing data privacy and quality, bias, accuracy, transparency, and environmental impact.
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.
Guide the selection and implementation of enterprise-grade AI platforms, secure access mechanisms, and supporting technology infrastructure.
Establish standards that protect data integrity and organizational quality while ensuring AI tools remain accessible, useful, and practical for staff.
Coordinate technology implementation, integration, and operational support in collaboration with relevant internal teams.
Develop and oversee an organization-wide enablement strategy combining training, embedded consultation, peer learning, and hands-on implementation support.
Integrate AI learning modules into existing professional development programs and equip staff to identify opportunities, solve problems, and apply AI to organizational priorities.
Incorporate honest discussions of AI's limitations, risks, and trade-offs into training to encourage informed, responsible adoption.
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:
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, with a clear understanding of their capabilities and limitations.
Proven ability to drive technology adoption across an organization, helping people move 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.
A collaborative approach to setting priorities, building new capabilities, and moving fluidly between strategic planning and hands-on implementation.
Ability to discuss AI's ethical, cultural, and environmental implications credibly, including its risks and limitations, and to engage thoughtfully with colleagues' concerns.
A strong commitment to using AI to augment human creativity and expertise, supported by sound judgment about appropriate use cases and boundaries.
Excellent communication and relationship-building skills, including the ability to advise, influence, and collaborate with senior leadership.
Sound judgment regarding data integrity, privacy, and the responsible use of organizational information.
Preferred qualifications include:
A strong interest in the organization's mission and the communities it serves.
Experience in nonprofit, mission-driven, higher-education, multi-site, or federated organizations.
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 into AI-enabled tools.
Familiarity with AI ethics, responsible AI frameworks, and the environmental implications of large-scale AI adoption.
Data and analytics literacy sufficient to help teams formulate strategic questions and interpret insights from existing data.
Experience establishing a new program, function, or organizational capability in a growing or evolving environment.
Familiarity with Jewish communal life, campus communities, or the populations served by the organization.
Benefits:
Annual salary range of $115,000–$130,000 USD.
Fully remote work for eligible candidates based in the United States.
Flexible working hours and location.
Preference for candidates able to work in a hybrid arrangement at the Washington, D.C. headquarters one to two days per week.
Comprehensive health insurance.
Retirement plan.
Life, accidental death and dismemberment (AD&D), and long-term disability insurance.
Flexible Spending Accounts (FSAs).
Generous vacation and sick leave.
Parental leave.
Opportunity to shape a significant organizational AI strategy at an important moment for Jewish students and campus life.
The opportunity to build sustainable AI capabilities, influence organizational transformation, and help teams adopt emerging technologies responsibly.
