- 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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