AI Adoption Specialist

AI Adoption Specialist Work Role ID: 753 (NIST: N/A) Workforce Element: Data/AI

Facilitates AI adoption by supporting the users of AI-enabled solutions.


Items denoted by a * are CORE KSATs for every Work Role, while other CORE KSATs vary by Work Role.

Core KSATs

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
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
1000B

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

Task
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
3022

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

Ability
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
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
6900

* Knowledge of specific operational impacts of cybersecurity lapses.

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
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
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
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
7037

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

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

Additional KSATs

KSAT ID Description KSAT
942

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

Knowledge
5925

Use knowledge of business processes to create or recommend 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
6380

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

Knowledge
7013

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

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
7041

Knowledge of remedies against unintended bias in AI solutions.

Knowledge