Senior Director, AI Strategy and Enablement
New
B
BBYONonprofit technology
Remote (U.S.-based)Full-TimeDirector
Salary115,000 - 125,000 USD per year
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Job Details
- Experience
- 7+ years in technology, systems, operations, organizational development, digital transformation, or a closely related field, with progressive responsibility.
- Required Skills
- Business AnalysisSalesforce
Requirements
- Have 7+ years of progressive experience in technology, systems, operations, organizational development, digital transformation, or a closely related field.
- Have a bachelor’s degree or an equivalent combination of education and experience.
- Bring process mapping and business analysis skills.
- Have a track record of leading change and supporting sustained adoption.
- Demonstrate hands-on fluency with current AI tools and a working understanding of their limitations.
- Be able to build working prototypes and evaluate scopes, estimates, and vendor claims.
- Explain technical work in plain language and influence senior leaders and teams.
- Bring data literacy sufficient to recommend data cleanup and shared definitions and help teams ask better questions.
- Use sound judgment regarding privacy, data integrity, and responsible use of organizational information.
- Be comfortable working in an ambiguous, decentralized, entrepreneurial environment.
- Be willing to travel occasionally for staff gatherings, International Convention, and on-site work.
- Commit to BBYO’s mission and appreciate the role of Jewish teen engagement in building vibrant Jewish communities and future leaders.
- Preferred: experience in nonprofit, mission-driven, or multi-site organizations; process improvement training; familiarity with Claude, Microsoft 365, Copilot, or Salesforce; and practical experience building AI workflows, skills, or prompts.
Responsibilities
- Set organizational direction for AI and provide practical governance for adoption.
- Advise teams on AI opportunities and redesign workflows based on how work is done.
- Lead process mapping, simplify processes, and establish ways to share successful practices.
- Establish practical principles for responsible AI use, including privacy, data quality, accuracy, bias, and transparency.
- Develop staff training, hands-on support, peer learning, and AI learning within professional development and onboarding.
- Help staff apply acceptable-use guidelines and identify when guidance or regulation needs review.
- Recommend data strategy, cleanup, governance, shared definitions, and standards in connection with project needs.
- Help teams use AI to gain insight from existing data, programs, and operations.
- Guide AI platform selection, secure access, and standards in coordination with technology staff or partners.
- Prototype AI tools and partner with IT on access, permissions, data protection, security, and production rollout.
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