Emerging Technology & AI Governance & Enablement Lead

Responsibilities

• 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 as tools, risks, and best practices evolve

• Advise on the employee-facing implications of AI tool deployment, including acceptable use boundaries, monitoring practices, and policy provisions that intersect with employment law and workforce relations—working in close coordination with People Operations and Legal.
• Write governance frameworks and policy documents in accessible, plain-language formats—ensuring that staff at all levels and across all disciplines can understand and act on guidance, not just compliance and IT teams.
• Serve as an internal consultant to teams in the early stages of exploring, piloting, or refining AI-assisted workflows—guiding experimentation with a "yes, and here's how to do it safely" orientation.
• 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, translating between contexts and representing staff needs when governance or tooling decisions are being made.
• Partner with People Operations and Legal on the development and ongoing review of AI-related employment policies, including policies that govern employee conduct, monitoring, and use of AI tools in the workplace—ensuring governance frameworks are informed by and aligned to employee relations considerations.
• Lead change management for AI-related transitions—helping staff understand not just what is changing, but why, and what it means for their work.
• Partner closely with Security Engineering to ensure AI governance and enablement work is integrated with the organization's broader security posture.
• Collaborate with compliance stakeholders and legal/People Operations as needed to assess AI tool risk, data privacy implications, and organizational policy alignment—including implications for employee relations and workforce obligations.
• Monitor the evolving AI governance and security landscape and proactively recommend policy and control updates as new tools, risks, or regulations emerge.
• Maintain the vendor inventory, conduct lightweight third‑party security reviews on new tools, and escalates higher‑risk reviews to the Security Engineering team.
• Coordinate security awareness programming, including staff training and onboarding modules.
• 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, explaining technical concepts in accessible, jargon‑free ways.
• Build and steward an internal AI Champions network—recruiting, supporting, and coordinating peer advocates across departments to drive adoption and share learnings.
• Develop onboarding materials for new staff and role‑specific enablement resources for teams with specialized AI use cases.
• Other duties as assigned.

Requirements

• 5–8+ years of experience in a role spanning IT, compliance, security, learning & development, or organizational change—ideally with exposure to more than one of these areas
• Demonstrated experience drafting, publishing, and managing the lifecycle of acceptable use, technology, or information security policies—including socializing policy with non-technical audiences and driving organization-wide adoption
• Demonstrated experience with AI tools (e. g., large language models, AI‑assisted productivity 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, including acceptable use, and workforce implications of AI tool deployment.
• Experience with security audits and compliance evidence gathering
• Strong written and verbal communication skills with demonstrated experience developing and communicating technology governance frameworks to non-technical audiences
• 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, build relationships across disciplines, and move work forward without formal authority
• Experience with change management principles and practice—including stakeholder communication, adoption strategies, and managing transitions
• Comfort operating in ambiguity—experience with and comfort in building something from the ground up
• Tenacity and adaptability; able to navigate relationships and technical challenges and unblock themselves and their team
• A deep commitment to Code for America's mission of making government services work well for the people who need them most
• Hard Skills
• AI tools
• large language models
• information security policies
• technology governance frameworks
• security audits
• compliance evidence gathering
• change management principles
• vendor screening
• training design
• workshop facilitation
• Soft Skills
• strong written communication
• strong verbal communication
• relationship building
• adaptability
• tenacity
• cross‑functional collaboration
• ability to operate in ambiguity
• stakeholder communication
• organizational change management
• facilitation skills
• Industry Keywords
• acceptable use policy
• AI governance
• data privacy
• employee relations
• workforce implications
• security posture
• organizational knowledge
• compliance stakeholders
• AI‑assisted workflows
• internal consulting
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