The Leidos Chief Technology Officer (CTO) organization has an exciting opening for the Director of AI Governance and Strategy, reporting to the Chief AI Officer (CAIO). The CAIO leads Leidos' Trusted Mission AI strategy, overseeing all AI programs, projects, and initiatives. The Director of AI Governance and Strategy will play a critical role in shaping and managing AI governance efforts, as well as aligning AI strategy with enterprise-wide objectives. This position offers a unique opportunity to drive AI governance, integrate strategy, and influence policy development in collaboration with internal stakeholders and external regulatory bodies.

Primary Responsibilities

• Integrating AI Strategy: Lead the alignment of Leidos’ Trusted Mission AI strategy with overall Enterprise strategies across Sectors and Functions. Regularly evaluate progress against milestones and roadmaps, providing updates and adjustments to implementation plans to ensure seamless integration and execution.
• AI Governance Leadership: Spearhead AI Governance efforts in collaboration with the CAIO, working with the AI Ethics Working Group, and establishing comprehensive Enterprise AI policies. Collaborate with internal teams such as legal, audit, and risk management to coordinate governance-related activities, ensuring consistency and accountability.
• External Alignment: Work closely with key external entities, such as NIST, AI Safety Institute, DoD CDAO RAI, and other leading organizations, to ensure Leidos' AI governance frameworks align with external standards, regulatory guidelines, and industry definitions.
• Regulatory Tracking and Influence: Partner with Leidos’ legal and government affairs teams to monitor emerging AI regulations. Leverage multiple channels, including government affairs, LPAC, and industry associations, to inform and influence policymakers, contributing to the development of effective AI policies that reflect the evolving regulatory landscape.
• Cross-Functional Collaboration: Build and maintain relationships with key stakeholders across Leidos, ensuring AI initiatives are well-integrated within broader Enterprise efforts, and that governance processes are clear, actionable, and aligned with business objectives.

Basic Qualifications

• Education & Experience: Bachelor's degree in a relevant field (Science, Engineering, or Technology) combined with 17+ years of overall experience. Qualified candidates will have 8+ years of experience in AI, data governance, or a related field.
• Governance Expertise: Demonstrated experience in establishing and managing governance frameworks, particularly in the AI space, including policy development and regulatory alignment.
• Collaboration & Influence: Proven ability to influence cross-functional teams and work collaboratively with senior leadership, both internally and externally.
• Technical & Legal Insight: Strong understanding of AI technologies, ethical concerns, and regulatory considerations, along with experience working with legal and regulatory teams.
• Communication Skills: Strong written and verbal communication skills with the ability to articulate complex concepts to senior management and external audiences.

Preferred Qualifications

• Master's degree in a Science, Engineering, or Technology field, or relevant business discipline.
• Deep expertise in AI ethics, risk management, and AI governance.
• Experience working with government agencies and industry associations on AI policy and regulatory issues.
• Familiarity with emerging AI governance standards and frameworks, including those from NIST, AI Safety Institute, and DoD CDAO RAI.
• Ability to develop metrics for governance performance, ensuring consistent evaluation of AI programs and initiatives.

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.