Director of AI Policy & Governance — Trust, Data & Tech

Information Technology Industry Council (ITI); Washington (District of Columbia); On-site; USD 135,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Dental Insurance

Vision Insurance

Retirement plan

Life Insurance

Disability Insurance

Commuter Benefit

Tuition Reimbursement

Professional Development

Paid time off

Job summary

Information Technology Industry Council (ITI) seeks a Director of AI Policy to lead ITI’s AI policy portfolio, shaping policy and advocacy strategies in the U.S. and key global markets.

You will work with member companies, policymakers, and colleagues to advance ITI's AI priorities and coordinate cross-functional teams. You will engage with government officials, multilateral organizations, and industry stakeholders to inform AI policy development, governance, and risk management.

Qualifications

• Bachelor’s degree required; advanced degree preferred in related field.
• Demonstrated experience in technology policy, trade associations or government settings.
• Strong ability to develop and implement policy and advocacy strategies.

Responsibilities

• Lead day-to-day management of ITI's AI policy portfolio with strategic advocacy.
• Manage ITI's AI Committee, set agendas, and coordinate priorities.
• Prepare policy comments, white papers, and advocacy materials.

Skills

Policy analysis

Stakeholder management

Strategic planning

Communication

Public policy

Education

Bachelor’s degree

Advanced degree in international relations, public policy, law, business, or related field

Job description

Information Technology Industry Council (ITI) seeks a Director of AI Policy to lead ITI’s AI policy portfolio, shaping policy and advocacy strategies in the U.S. and key global markets.

You will work with member companies, policymakers, and colleagues to advance ITI's AI priorities and coordinate cross-functional teams. You will engage with government officials, multilateral organizations, and industry stakeholders to inform AI policy development, governance, and risk management.