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.

Tasks

The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.

• T2416 additional Facilitate interactions between internal and external partner decision makers to synchronize and integrate courses of action in support of objectives.
• T2558 additional Maintain relationships with internal and external partners involved in cyber planning or related areas.
• T2624A additional Conduct long-range, strategic planning efforts with internal and external partners to support AI capability development and use.
• T391A additional Acquire and manage the necessary resources, including leadership support, financial resources, infrastructure, and key personnel, to support AI innovation adoption goals and objectives.
• T395A additional Advise senior management on risk levels, security posture, and necessary changes to existing AI policies.​
• T492B additional Design and integrate an AI adoption strategy that supports the organization's vision, mission, and goals.
• T524 additional Develop and maintain strategic plans.
• T5330A additional Establish and collect metrics to monitor and validate AI workforce readiness.
• T5843 additional Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.
• T5845 additional Appoint and guide a multidisciplinary team of AI experts to identify and assess risk throughout the AI development lifecycle.
• T5849 additional Assess value of implemented AI projects based on organizational metrics.
• T5862 additional Create and/or maintain governance structure for oversight and accountability of AI solutions.
• T5868 additional Define and/or implement policies and procedures to enable an AI risk assessment process and assess risk mitigation efforts.
• T5879 additional Direct and/or support organizational and project-level AI risk management activities.
• T5880 additional Engage and collaborate with allies and partners to advance shared strategic AI objectives.
• T5882 additional Establish and/or maintain processes to ensure Responsible AI practices are reflected in an organization's approach to AI acquisition, development, and deployment.
• T5883 additional Evaluate and develop AI workforce structure resources and requirements.
• T5887 additional Identify and address key roadblocks to AI implementation.
• T5891 additional Identify viable AI projects based on organizational needs.
• T5892 additional Identify ways to lead and motivate people to adopt AI solutions through cultural, organizational, or other types of change.
• T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
• T5902 additional Monitor 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.
• T5909 additional Promote awareness of AI limitations and benefits.
• T5912 additional Recommend updates to military strategy and doctrine with respect to advances in AI technology, legal obligations, Responsible AI, and DoD AI Ethical Principles.
• T5913 additional Remove barriers to data acquisition, collection, and curation efforts required for AI solutions.
• T629B additional Identify and address AI workforce planning and management issues (e.g., recruitment, retention, and training).
• T680B additional Oversee AI budget, staffing, and contracting decisions.

Knowledge, Skills, and Abilities

KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.

• A6040 ability core Ability to assess and forecast manpower requirements to meet organizational objectives.
• A7000 ability core Ability to identify, connect, and influence key stakeholders to speed AI adoption.
• A7001 ability core Ability to inspire and lead a culture of innovation.
• A7110 ability core Ability to understand technology, management, and leadership issues related to organization processes and problem solving.
• K0942 knowledge core Knowledge of the organization's core business/mission processes.
• K3591 knowledge core Knowledge of organization objectives, leadership priorities, and decision-making risks.
• K6250 knowledge core Knowledge of Workforce Framework, work roles, and associated tasks, knowledge, skills, and abilities.
• K6311 knowledge core Knowledge of machine learning theory and principles.
• K7003 knowledge core Knowledge of AI security risks, threats, and vulnerabilities and potential risk mitigation solutions.
• K7007 knowledge core Knowledge of best practices in organizational conflict management.
• K7014 knowledge core Knowledge of data acquisition, collection, and curation best practices required for AI solutions.
• K7020 knowledge core Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
• K7021 knowledge core Knowledge of emerging trends and future use cases of AI.
• K7024 knowledge core Knowledge of how AI is developed and operated.
• K7034 knowledge core Knowledge of interactions and integration of DataOps, MLOps, and DevSecOps in AI.
• K7042 knowledge core Knowledge of resources and capabilities required to complete AI projects.
• K7043 knowledge core Knowledge of staffing, contracting, and budgetary requirements to run an AI-enabled organization.
• K7045 knowledge core Knowledge of the AI lifecycle.
• K7046 knowledge core Knowledge of the basic requirements for the successful delivery of AI solutions.
• K7048 knowledge core Knowledge of the benefits and limitations of AI capabilities.
• K7050 knowledge core Knowledge of the nature and function of technology platforms and tools used to create and employ AI.
• S6915A skill core 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).
• S7058 skill core Skill in communicating AI and/or machine learning solutions to a wide range of audiences.
• S7061 skill core Skill in developing and influencing policy, plans, and strategy in compliance with laws, regulations, policies, and standards in support of organizational AI activities.
• S7065 skill core Skill in explaining AI concepts and terminology.
• S7068 skill core Skill in identifying organizational and project-level AI risks, including AI security risks and requirements.
• S7072 skill core Skill in leading AI adoption efforts.
• S7073 skill core Skill in leveraging and optimizing resources required to complete AI projects and programs.
• K3146 knowledge additional Knowledge of both internal and external customers and partner organizations, including information needs, objectives, structure, capabilities, etc.
• K3356 knowledge additional Knowledge of organization policies and planning concepts for partnering with internal and/or external organizations.
• K6290 knowledge additional Knowledge of how to leverage government research and development centers, think tanks, academic research, and industry systems.
• K7005 knowledge additional Knowledge of AI-specific acquisition models (e.g., pay per use or per data element).
• K7036 knowledge additional Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
• K7038 knowledge additional Knowledge of metrics to evaluate the effectiveness of machine learning models.
• K7039 knowledge additional Knowledge of organization's structure, training requirements, and existing operational hardware/software related to the AI solution to be adopted.
• K7041 knowledge additional Knowledge of remedies against unintended bias in AI solutions.
• K7051 knowledge additional Knowledge of the possible impacts of machine learning blind spots and edge cases.

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