AI Fluency and Enablement Lead

The Leidos Digital Modernization Sector is seeking an experienced AI Fluency and Enablement Lead; this position will allow for full time telework from any U.S. based location.

POSITION SUMMARY:
The Leidos Chief Data & Analytics Office (CDAO) is a new, high-growth organization at the center of the company's technology strategy. We are seeking a passionate and innovative AI Fluency and Enablement Lead to join our Operational AI (Ops.AI) division. This role is essential for driving the adoption of AI across the enterprise by equipping our workforce with the skills and knowledge to leverage AI responsibly and effectively. This is an exciting opportunity to help build a human-centered AI culture at Leidos. 

PRIMARY RESPONSIBILITIES: 
The AI Fluency and Enablement Lead will be responsible for designing, developing, and implementing a comprehensive, enterprise-wide AI upskilling program. This individual will act as a change agent, fostering a human-centered AI culture and ensuring that our training initiatives are directly aligned with Leidos' strategic objectives. This position is key to accelerating innovation and maximizing the business impact of our AI investments. 

• Strategic Program Development: Develop and execute a strategic roadmap for enterprise-wide AI fluency and workforce enablement. 
• Content Design & Delivery: Design and deliver engaging and scalable training content, workshops, and learning materials for various audiences, from leadership to technical staff. 
• Needs Analysis: Collaborate with business leaders and HR partners to identify skill gaps and tailor learning pathways to meet specific needs. 
• Community Building: Build and nurture an AI community of practice to encourage knowledge sharing, collaboration, and continuous learning across the organization. 
• Impact Measurement: Measure the effectiveness and impact of training programs through KPIs, feedback, and performance metrics to demonstrate value. 
• Responsible AI Advocacy: Champion a culture of responsible and ethical AI use, integrating trusted AI principles into all training materials. 
• Continuous Improvement: Stay current with the latest trends in AI and learning development to ensure our programs remain cutting-edge and relevant. 

 
BASIC QUALIFICATIONS:

• Bachelor's degree in a relevant field (e.g., Education, Organizational Development, IT) with 12+ years of experience in a training, learning and development, or change management role; additional years of experience may be substituted in lieu of a degree. 
• Proven experience designing and managing large-scale technical or corporate training programs. 
• Strong understanding of fundamental AI concepts and their business applications. 
• Excellent presentation, facilitation, and communication skills, with the ability to engage diverse audiences. 
• This position offers flexibility for remote or hybrid work arrangements. 
• Must be a U.S. Citizen and able to obtain and maintain a security clearance. 

PREFERRED QUALIFICATIONS:

• Experience developing training programs specifically for AI, data science, or other emerging technologies. 
• Certification in instructional design, change management, or program management. 
• Experience with learning management systems (LMS) and creating digital learning content. 
• Demonstrated ability to build communities and drive cultural change within a large organization. 
• Experience working in a government contracting or technology-focused enterprise. 

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

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.