* Knowledge of computer networking concepts and protocols, and network security methodologies.

* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).

Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.

Correlates training and learning to business or mission requirements.

Develop new or identify existing awareness and training materials that are appropriate for intended audiences.

Ability to prepare and deliver education and awareness briefings to ensure that systems, network, and data users are aware of and adhere to systems security policies and procedures.

Ensure that AI design and development activities are properly documented and updated.

* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.

* Knowledge of cybersecurity principles.

* Knowledge of cyber threats and vulnerabilities.

Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.

Gather feedback on customer satisfaction and internal service performance to foster continual improvement.

Present technical information to technical and non-technical audiences.

Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.

Coordinate with change management employees to plan, foster, and track change.

Identify viable AI projects based on organizational needs.

Identify ways to lead and motivate people to adopt AI solutions through cultural, organizational, or other types of change.

Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.

Promote awareness of AI limitations and benefits.

Support an AI adoption strategy that aligns with the organization’s vision, mission, and goals.

Test how users interact with AI solutions.

Knowledge of machine learning theory and principles.

* Knowledge of specific operational impacts of cybersecurity lapses.

Skill in communicating with all levels of the organization, including senior/mid-level executives, and operational-level personnel (e.g., interpersonal skills, approachability, effective listening skills, appropriate use of style and language for the audience).

* Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).

* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.

Ability to inspire and lead a culture of innovation.

Knowledge of AI security risks, threats, and vulnerabilities and potential risk mitigation solutions.

Knowledge of change models and frameworks.

Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).

Knowledge of emerging trends and future use cases of AI.

Knowledge of how AI is developed and operated.

Knowledge of how humans interact with and/or are impacted by AI solutions within the DoD context.

Knowledge of how to structure and display data.

Knowledge of how to use data to tell a story.

Knowledge of human factor engineering.

Knowledge of machine learning operations (MLOps) processes and best practices.

Knowledge of the AI lifecycle.

Knowledge of the basic requirements for the successful delivery of AI solutions.

Knowledge of the basics of customer experience, customer design, psychology of customer decision-making, and human-computer interaction.

Knowledge of the benefits and limitations of AI capabilities.

Knowledge of the possible impacts of machine learning blind spots and edge cases.

Knowledge of the user experience (e.g., decision making, user design, and human-computer interaction) as it relates to AI systems.

Skill in communicating AI and/or machine learning solutions to a wide range of audiences.

Skill in explaining AI concepts and terminology.

Skill in leading AI adoption efforts.

Knowledge of the organization’s core business/mission processes.

Use knowledge of business processes to create or recommend AI solutions.

Coordinate with change management employees to plan, foster, and track change.

Engage and collaborate with allies and partners to advance shared strategic AI objectives.

Knowledge of principles and processes for conducting training and education needs assessment.

Knowledge of customer mission priorities and capabilities, as related to the integration and adoption of AI solutions.

Knowledge of human factor engineering.

Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.

Knowledge of remedies against unintended bias in AI solutions.