AI Innovation Leader

AI Innovation Leader Work Role ID: 902 (NIST: N/A) Workforce Element: Data/AI

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


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
391A

Acquire and manage the necessary resources, including leadership support, financial resources, infrastructure, and key personnel, to support AI innovation adoption goals and objectives.

Task
395A

Advise senior management on risk levels, security posture, and necessary changes to existing AI policies.​

Task
492B

Design and integrate an AI adoption strategy that supports the organization’s vision, mission, and goals.

Task
524

Develop and maintain strategic plans.

Task
629B

Identify and address AI workforce planning and management issues (e.g., recruitment, retention, and training).

Task
680B

Oversee AI budget, staffing, and contracting decisions.

Task
942

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

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
2416

Facilitate interactions between internal and external partner decision makers to synchronize and integrate courses of action in support of objectives.

Task
2558

Maintain relationships with internal and external partners involved in cyber planning or related areas.

Task
2624A

Conduct long-range, strategic planning efforts with internal and external partners to support AI capability development and use.

Task
3591

Knowledge of organization objectives, leadership priorities, and decision-making risks.

Knowledge
5843

Analyze national security/DoD mission priorities and gaps suitable for the application of AI solutions.

Task
5845

Appoint and guide a multidisciplinary team of AI experts to identify and assess risk throughout the AI development lifecycle.

Task
5849

Assess value of implemented AI projects based on organizational metrics.

Task
5862

Create and/or maintain governance structure for oversight and accountability of AI solutions.

Task
5879

Direct and/or support organizational and project-level AI risk management activities.

Task
5880

Engage and collaborate with allies and partners to advance shared strategic AI objectives.

Task
5882

Establish and/or maintain processes to ensure Responsible AI practices are reflected in an organization’s approach to AI acquisition, development, and deployment.

Task
5883

Evaluate and develop AI workforce structure resources and requirements.

Task
5887

Identify and address key roadblocks to AI implementation.

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
5913

Remove barriers to data acquisition, collection, and curation efforts required for AI solutions.

Task
6040

Ability to assess and forecast manpower requirements to meet organizational objectives.

Ability
6250

Knowledge of Workforce Framework, work roles, and associated tasks, knowledge, skills, and abilities.

Knowledge
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
7000

Ability to identify, connect, and influence key stakeholders to speed AI adoption.

Ability
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
7007

Knowledge of best practices in organizational conflict management.

Knowledge
7014

Knowledge of data acquisition, collection, and curation best practices required for 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
7034

Knowledge of interactions and integration of DataOps, MLOps, and DevSecOps in AI.

Knowledge
7042

Knowledge of resources and capabilities required to complete AI projects.

Knowledge
7043

Knowledge of staffing, contracting, and budgetary requirements to run an AI-enabled organization.

Knowledge
7045

Knowledge of the AI lifecycle.

Knowledge
7046

Knowledge of the basic requirements for the successful delivery of AI solutions.

Knowledge
7048

Knowledge of the benefits and limitations of AI capabilities.

Knowledge
7050

Knowledge of the nature and function of technology platforms and tools used to create and employ AI.

Knowledge
7058

Skill in communicating AI and/or machine learning solutions to a wide range of audiences.

Skill
7061

Skill in developing and influencing policy, plans, and strategy in compliance with laws, regulations, policies, and standards in support of organizational AI activities.

Skill
7065

Skill in explaining AI concepts and terminology.

Skill
7068

Skill in identifying organizational and project-level AI risks, including AI security risks and requirements.

Skill
7072

Skill in leading AI adoption efforts.

Skill
7073

Skill in leveraging and optimizing resources required to complete AI projects and programs.

Skill

Additional KSATs

KSAT ID Description KSAT
3146

Knowledge of both internal and external customers and partner organizations, including information needs, objectives, structure, capabilities, etc.

Knowledge
3356

Knowledge of organization policies and planning concepts for partnering with internal and/or external organizations.

Knowledge
5330A

Establish and collect metrics to monitor and validate AI workforce readiness.

Task
5868

Define and/or implement policies and procedures to enable an AI risk assessment process and assess risk mitigation efforts.

Task
5902

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.

Task
5912

Recommend updates to military strategy and doctrine with respect to advances in AI technology, legal obligations, Responsible AI, and DoD AI Ethical Principles.

Task
6290

Knowledge of how to leverage government research and development centers, think tanks, academic research, and industry systems.

Knowledge
7005

Knowledge of AI-specific acquisition models (e.g., pay per use or per data element).

Knowledge
7036

Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.

Knowledge
7038

Knowledge of metrics to evaluate the effectiveness of machine learning models.

Knowledge
7039

Knowledge of organization’s structure, training requirements, and existing operational hardware/software related to the AI solution to be adopted.

Knowledge
7041

Knowledge of remedies against unintended bias in AI solutions.

Knowledge
7051

Knowledge of the possible impacts of machine learning blind spots and edge cases.

Knowledge