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Data/AI · Work role code 753

AI Adoption Specialist

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

From DoD DCWF Tool v5.3 (2026-09-25)

Tasks

From DoD DCWF Tool v5.3 (2026-09-25), in the tool's order, with the DCWF KSAT id

Free · DoD DCWF Tool v5.3 (2026-09-25)
  • 466AConsult with customers and key stakeholders to evaluate functional requirements for AI and data applications.Core
  • 479ACorrelate training and learning to business or mission requirements.Core
  • 538Develop new or identify existing awareness and training materials that are appropriate for the intended audiences.Core
  • 1000BEnsure that AI design and development activities are properly documented and updated.Core
  • 5380Gather feedback on customer satisfaction and internal service performance to foster continual improvement.Core
  • 5430Present technical information to technical and non-technical audiences.Core
  • 5843Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.Core
  • 5861Coordinate with change management employees to plan, foster, and track change.Core
  • 5880Engage and collaborate with allies and partners to advance shared strategic AI objectives.Additional
  • 5891Identify viable AI projects based on organizational needs.Core
  • 5892Identify ways to lead and motivate people to adopt AI solutions through cultural, organizational, or other types of change.Core
  • 5896Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.Core
  • 5909Promote awareness of AI limitations and benefits.Core
  • 5918Support an AI adoption strategy that aligns with the organization's vision, mission, and goals.Core
  • 5921Test how users interact with AI solutions.Core
  • 5925Use knowledge of business processes to create or recommend AI solutions.Additional

Knowledge

From DoD DCWF Tool v5.3 (2026-09-25), in the tool's order, with the DCWF KSAT id

Free · DoD DCWF Tool v5.3 (2026-09-25)
  • 22* Knowledge of computer networking concepts and protocols, and network security methodologies.Core
  • 108* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).Core
  • 942Knowledge of the organization's core business/mission processes.Additional
  • 1157* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.Core
  • 1158* Knowledge of cybersecurity principles.Core
  • 1159* Knowledge of cyber threats and vulnerabilities.Core
  • 6311Knowledge of machine learning theory and principles.Core
  • 6380Knowledge of principles and processes for conducting training and education needs assessment.Additional
  • 6900* Knowledge of specific operational impacts of cybersecurity lapses.Core
  • 6935* Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).Core
  • 6938* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.Core
  • 7003Knowledge of AI security risks, threats, and vulnerabilities and potential risk mitigation solutions.Core
  • 7008Knowledge of change models and frameworks.Core
  • 7013Knowledge of customer mission priorities and capabilities, as related to the integration and adoption of AI solutions.Additional
  • 7020Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).Core
  • 7021Knowledge of emerging trends and future use cases of AI.Core
  • 7024Knowledge of how AI is developed and operated.Core
  • 7027Knowledge of how humans interact with and/or are impacted by AI solutions within the DoD context.Core
  • 7031Knowledge of how to structure and display data.Core
  • 7032Knowledge of how to use data to tell a story.Core
  • 7033Knowledge of human factors engineering.Core
  • 7036Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.Additional
  • 7037Knowledge of machine learning operations (MLOps) processes and best practices.Core
  • 7041Knowledge of remedies against unintended bias in AI solutions.Additional
  • 7045Knowledge of the AI lifecycle.Core
  • 7046Knowledge of the basic requirements for the successful delivery of AI solutions.Core
  • 7047Knowledge of the basics of customer experience, customer design, psychology of customer decision-making, and human-computer interaction.Core
  • 7048Knowledge of the benefits and limitations of AI capabilities.Core
  • 7051Knowledge of the possible impacts of machine learning blind spots and edge cases.Core
  • 7053Knowledge of the user experience (e.g., decision-making, user design, and human-computer interaction) as it relates to AI systems.Core
  • 7111* Knowledge of Zero Trust Security Model Principles.Core

Skills

From DoD DCWF Tool v5.3 (2026-09-25), in the tool's order, with the DCWF KSAT id

Free · DoD DCWF Tool v5.3 (2026-09-25)
  • 6915ASkill 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).Core
  • 7058Skill in communicating AI and/or machine learning solutions to a wide range of audiences.Core
  • 7065Skill in explaining AI concepts and terminology.Core
  • 7072Skill in leading AI adoption efforts.Core

Abilities

From DoD DCWF Tool v5.3 (2026-09-25), in the tool's order, with the DCWF KSAT id

Free · DoD DCWF Tool v5.3 (2026-09-25)
  • 918Ability to prepare and deliver education and awareness briefings to ensure that systems, networks, and data users are aware of and adhere to systems security policies and procedures.Core
  • 3022Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.Core
  • 7001Ability to inspire and lead a culture of innovation.Core

Workforce Automation analysis, not part of the source

O*NET jobs

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Jobs the ETO-CSET NICE/O*NET crosswalk (2024) maps to this role’s NICE equivalents, with the share of each job’s detailed work activities (DWAs) that has a mapped AI skill.

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    Equivalents

    NICE work roles

    From DoD DCWF Tool v5.3 (2026-09-25), linked from published ids only, never from titles

    Free · DoD DCWF Tool v5.3 (2026-09-25)

    No published NICE equivalent.

    O*NET jobs it reaches

    Through its NICE equivalents, by the ETO-CSET NICE/O*NET crosswalk (2024); jobs from O*NET 30.3

    Free · O*NET 30.3

    No O*NET job reaches this role.