* Knowledge of computer networking concepts and protocols, and network security methodologies.

Knowledge of network access, identity, and access management (e.g., public key infrastructure [PKI]).

* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).

Knowledge of sources, characteristics, and uses of the organization’s data assets.

Knowledge of how information needs and collection requirements are translated, tracked, and prioritized across the extended enterprise.

Develop and maintain strategic plans.

Develop data standards, policies, and procedures.

* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.

* Knowledge of cybersecurity principles.

* Knowledge of cyber threats and vulnerabilities.

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

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

Advise higher level leadership on critical data management issues.

Analyze existing and planned data investments to ensure they address key business problems, are compatible with the organization’s mission, and align with the target data architecture.

Create policies for effective data management (e.g., data sharing agreements and security policies).

Demonstrate to executive stakeholders how data and analytics initiatives address agency challenges.

Develop a data management strategy that helps to prioritize investments and resource allocations (e.g., data analytics, data infrastructure).

Develop an organizational change management plan to support a data management strategy.

Facilitate cross-sharing of best practices for data usage.

Lead the development and documentation of solutions for assigned data analytical objectives and projects.

Lead the improvement of data system design processes that affect the success and continuation of key programs.

Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.

Manage risk to the data program.

Oversee the management of data classification and handling requirements.

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

Set strategic priorities by leveraging data insights.

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

* Knowledge of specific operational impacts of cybersecurity lapses.

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).

* Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).

* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.

Ability to inspire and lead a culture of innovation.

Knowledge of data acquisition, collection, and curation best practices required for AI solutions.

Knowledge of data architecture and data services implementation.

Knowledge of data model development (e.g., conceptual, logical, and physical).

Knowledge of data security roles and responsibilities.

Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).

Knowledge of how to collect, store, and monitor data.

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

Skill in developing enterprise-level/Agency-level policies.

Skill in performing strategic-level analysis to develop Enterprise Data Management (EDM) strategies.

Ability to understand technology, management, and leadership issues related to organization processes and problem solving.

Oversee the evaluation of contracts to ensure compliance with funding, legal, and program requirements.

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

Ensure all acquisitions, procurements, and outsourcing efforts address information security requirements consistent with organization goals.

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

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

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

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

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