AI Adoption Specialist

Work Role ID: 753  |  Workforce Element: AI / Data

What does this work role do? Facilitates AI adoption by supporting the users of AI-enabled solutions.

KSAT ID Description KSAT
22 * Knowledge of computer networking concepts and protocols, and network security methodologies. Knowledge
108 * Knowledge of risk management processes (e.g., methods for assessing and mitigating risk). Knowledge
1157 * Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity. Knowledge
1158 * Knowledge of cybersecurity principles. Knowledge
1159 * Knowledge of cyber threats and vulnerabilities. Knowledge
6900 * Knowledge of specific operational impacts of cybersecurity lapses. Knowledge
6935 * Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Knowledge
6938 * Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments. Knowledge
KSAT ID Description KSAT
466A Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications. Task
479A Correlates training and learning to business or mission requirements. Task
538 Develop new or identify existing awareness and training materials that are appropriate for intended audiences. Task
918 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. Ability
942 Knowledge of the organization’s core business/mission processes. Knowledge
1000B Ensure that AI design and development activities are properly documented and updated. Task
3022 Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means. Ability
5925 Use knowledge of business processes to create or recommend AI solutions. Task
5380 Gather feedback on customer satisfaction and internal service performance to foster continual improvement. Task
5430 Present technical information to technical and non-technical audiences. Task
5843 Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions. Task
5861 Coordinate with change management employees to plan, foster, and track change. Task
5880 Engage and collaborate with allies and partners to advance shared strategic AI objectives. Task
5891 Identify viable AI projects based on organizational needs. Task
5892 Identify ways to lead and motivate people to adopt AI solutions through cultural, organizational, or other types of change. Task
5896 Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI. Task
5909 Promote awareness of AI limitations and benefits. Task
5918 Support an AI adoption strategy that aligns with the organization’s vision, mission, and goals. Task
5921 Test how users interact with AI solutions. Task
6311 Knowledge of machine learning theory and principles. Knowledge
6380 Knowledge of principles and processes for conducting training and education needs assessment. Knowledge
6915A 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). Skill
7001 Ability to inspire and lead a culture of innovation. Ability
7003 Knowledge of AI security risks, threats, and vulnerabilities and potential risk mitigation solutions. Knowledge
7008 Knowledge of change models and frameworks. Knowledge
7013 Knowledge of customer mission priorities and capabilities, as related to the integration and adoption of AI solutions. Knowledge
7020 Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable). Knowledge
7021 Knowledge of emerging trends and future use cases of AI. Knowledge
7024 Knowledge of how AI is developed and operated. Knowledge
7027 Knowledge of how humans interact with and/or are impacted by AI solutions within the DoD context. Knowledge
7031 Knowledge of how to structure and display data. Knowledge
7032 Knowledge of how to use data to tell a story. Knowledge
7033 Knowledge of human factor engineering. Knowledge
7036 Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government. Knowledge
7037 Knowledge of machine learning operations (MLOps) processes and best practices. Knowledge
7041 Knowledge of remedies against unintended bias in AI solutions. Knowledge
7045 Knowledge of the AI lifecycle. Knowledge
7046 Knowledge of the basic requirements for the successful delivery of AI solutions. Knowledge
7047 Knowledge of the basics of customer experience, customer design, psychology of customer decision-making, and human-computer interaction. Knowledge
7048 Knowledge of the benefits and limitations of AI capabilities. Knowledge
7051 Knowledge of the possible impacts of machine learning blind spots and edge cases. Knowledge
7053 Knowledge of the user experience (e.g., decision making, user design, and human-computer interaction) as it relates to AI systems. Knowledge
7058 Skill in communicating AI and/or machine learning solutions to a wide range of audiences. Skill
7065 Skill in explaining AI concepts and terminology. Skill
7072 Skill in leading AI adoption efforts. Skill