Emerging Technology & AI Governance & Enablement Lead - Code for America

Code for America is looking for a talented Emerging Technology & AI Governance & Enablement Lead who will shape how our staff engages with emerging AI tools by building the infrastructure, fluency, and trust that allows people say "yes" safely. As AI becomes more embedded in how organizations work, this role will ensure that Code for America does so in a manner aligned to organizational values and workforce obligations.

About the role:

The Emerging Technology & AI Governance & Enablement Lead is responsible for helping Code for America adopt emerging AI technologies responsibly. A core part of this role is authoring and stewarding the organization's AI Acceptable Use Policy and giving teams the confidence to experiment with emerging technologies while maintaining high standards of responsibility.

This person sits at the intersection of IT, Security, Strategic Operations, and People Operations — translating complex, fast-moving AI capabilities into practical tools, policies, and programs that staff across all disciplines can understand and use. This role will report to the VP of Engineering and is expected to travel no more than 5% of the time.

In this position you will:

AI Governance & Policy

• Own the full lifecycle of Code for America's AI Acceptable Use Policy: drafting foundational policy from the ground up, socializing it across the organization, driving adoption, and revising it on an ongoing basis.
• Advise on the employee-facing implications of AI tool deployment, working in close coordination with People Operations and Legal.
• Write governance frameworks and policy documents in accessible, plain-language formats.
• Serve as an internal consultant to teams in the early stages of exploring, piloting, or refining AI-assisted workflows.
• Document and share learnings from team-level pilots to build organizational knowledge and surface replicable patterns.
• Act as a liaison between IT/security and non-technical program and operations teams.
• Lead change management for AI-related transitions.

Security Oversight and Cross-Functional Collaboration

• Partner closely with Security Engineering to ensure AI governance and enablement work is integrated with the organization's broader security posture.
• Monitor the evolving AI governance and security landscape and proactively recommend policy and control updates.
• Maintain the vendor inventory, conduct lightweight third-party security reviews on new tools, and escalate higher-risk reviews to the Security Engineering team.
• Coordinate security awareness programming, including staff training and onboarding modules.

AI Enablement Programs & Training

• Design, launch, and continuously improve a suite of AI enablement resources: training sessions, onboarding guides, office hours, self-serve resource hubs, and practical playbooks.
• Facilitate workshops and learning sessions for staff across all levels and disciplines.
• Build and steward an internal AI Champions network to drive adoption and share learnings.
• Develop onboarding materials for new staff and role-specific enablement resources for teams with specialized AI use cases.

About you:

• 5–8+ years of experience in a role spanning IT, compliance, security, learning & development, or organizational change.
• Demonstrated experience drafting, publishing, and managing the lifecycle of acceptable use, technology, or information security policies.
• Demonstrated experience with AI tools and a strong understanding of emerging best practices in AI governance, data privacy, and acceptable use.
• Familiarity with the intersection of technology policy and employment practices.
• Experience with security audits and compliance evidence gathering.
• Strong written and verbal communication skills.
• Experience designing and facilitating training, workshops, or enablement programs at an organizational scale.
• Ability to assess and screen vendors/contractors for security and compliance risk.
• Proven ability to work cross-functionally and build relationships across disciplines.
• Experience with change management principles and practice.
• Comfort operating in ambiguity and building things from the ground up.
• A deep commitment to Code for America's mission.