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Data/AI · Work role code 902

AI Innovation Leader

Builds the organization’s AI vision and plan and leads policy and doctrine formation, including how AI solutions can or will be used.

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)
  • 391AAcquire and manage the necessary resources, including leadership support, financial resources, infrastructure, and key personnel, to support AI innovation adoption goals and objectives.Core
  • 395AAdvise senior management on risk levels, security posture, and necessary changes to existing AI policies.​Core
  • 492BDesign and integrate an AI adoption strategy that supports the organization's vision, mission, and goals.Core
  • 524Develop and maintain strategic plans.Core
  • 629BIdentify and address AI workforce planning and management issues (e.g., recruitment, retention, and training).Core
  • 680BOversee AI budget, staffing, and contracting decisions.Core
  • 2416Facilitate interactions between internal and external partner decision makers to synchronize and integrate courses of action in support of objectives.Core
  • 2558Maintain relationships with internal and external partners involved in cyber planning or related areas.Core
  • 2624AConduct long-range, strategic planning efforts with internal and external partners to support AI capability development and use.Core
  • 5330AEstablish and collect metrics to monitor and validate AI workforce readiness.Additional
  • 5843Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.Core
  • 5845Appoint and guide a multidisciplinary team of AI experts to identify and assess risk throughout the AI development lifecycle.Core
  • 5849Assess value of implemented AI projects based on organizational metrics.Core
  • 5862Create and/or maintain governance structure for oversight and accountability of AI solutions.Core
  • 5868Define and/or implement policies and procedures to enable an AI risk assessment process and assess risk mitigation efforts.Additional
  • 5879Direct and/or support organizational and project-level AI risk management activities.Core
  • 5880Engage and collaborate with allies and partners to advance shared strategic AI objectives.Core
  • 5882Establish and/or maintain processes to ensure Responsible AI practices are reflected in an organization's approach to AI acquisition, development, and deployment.Core
  • 5883Evaluate and develop AI workforce structure resources and requirements.Core
  • 5887Identify and address key roadblocks to AI implementation.Core
  • 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
  • 5902Monitor and evaluate the organization's use of AI to ensure capabilities are performing as intended and to reduce the likelihood and severity of unintended consequences.Additional
  • 5909Promote awareness of AI limitations and benefits.Core
  • 5912Recommend updates to military strategy and doctrine with respect to advances in AI technology, legal obligations, Responsible AI, and DoD AI Ethical Principles.Additional
  • 5913Remove barriers to data acquisition, collection, and curation efforts required for AI solutions.Core

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.Core
  • 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
  • 3146Knowledge of both internal and external customers and partner organizations, including information needs, objectives, structure, capabilities, etc.Additional
  • 3356Knowledge of organization policies and planning concepts for partnering with internal and/or external organizations.Additional
  • 3591Knowledge of organization objectives, leadership priorities, and decision-making risks.Core
  • 6250Knowledge of Workforce Framework, work roles, and associated tasks, knowledge, skills, and abilities.Core
  • 6290Knowledge of how to leverage government research and development centers, think tanks, academic research, and industry systems.Additional
  • 6311Knowledge of machine learning theory and principles.Core
  • 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
  • 7005Knowledge of AI-specific acquisition models (e.g., pay per use or per data element).Additional
  • 7007Knowledge of best practices in organizational conflict management.Core
  • 7014Knowledge of data acquisition, collection, and curation best practices required for AI solutions.Core
  • 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
  • 7034Knowledge of interactions and integration of DataOps, MLOps, and DevSecOps in AI.Core
  • 7036Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.Additional
  • 7038Knowledge of metrics to evaluate the effectiveness of machine learning models.Additional
  • 7039Knowledge of organization's structure, training requirements, and existing operational hardware/software related to the AI solution to be adopted.Additional
  • 7041Knowledge of remedies against unintended bias in AI solutions.Additional
  • 7042Knowledge of resources and capabilities required to complete AI projects.Core
  • 7043Knowledge of staffing, contracting, and budgetary requirements to run an AI-enabled organization.Core
  • 7045Knowledge of the AI lifecycle.Core
  • 7046Knowledge of the basic requirements for the successful delivery of AI solutions.Core
  • 7048Knowledge of the benefits and limitations of AI capabilities.Core
  • 7050Knowledge of the nature and function of technology platforms and tools used to create and employ AI.Core
  • 7051Knowledge of the possible impacts of machine learning blind spots and edge cases.Additional
  • 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
  • 7061Skill in developing and influencing policy, plans, and strategy in compliance with laws, regulations, policies, and standards in support of organizational AI activities.Core
  • 7065Skill in explaining AI concepts and terminology.Core
  • 7068Skill in identifying organizational and project-level AI risks, including AI security risks and requirements.Core
  • 7072Skill in leading AI adoption efforts.Core
  • 7073Skill in leveraging and optimizing resources required to complete AI projects and programs.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)
  • 6040Ability to assess and forecast manpower requirements to meet organizational objectives.Core
  • 7000Ability to identify, connect, and influence key stakeholders to speed AI adoption.Core
  • 7001Ability to inspire and lead a culture of innovation.Core
  • 7110Ability to understand technology, management, and leadership issues related to organization processes and problem solving.Core

Workforce Automation analysis, not part of the source

O*NET jobs

WFA · Part of the paid plan when accounts open

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.