The Chief Data and Artificial Intelligence Office (CDAO) mission is to accelerate the adoption of data, analytics, and artificial intelligence (AI) across the Department of Defense (DoD). The CDAO works across the Military Departments and Services, Joint Staff, Combatant Commands (CCMDs), Office of the Secretary of Defense (OSD), and other DoD Components.

Duties

Serves as a subject matter expert providing expertise and technical guidance with respect to AI, AI-enabled systems, data science, data analytics, and other fields within the CDAO mission and authority to the team and supervisors. Serves as a senior staff Professional has responsibility for directing, coordinating, monitoring, and managing the information technology (AI) transfer program areas. Contributes to vision, strategy, budget, and investment for CDAO/AW and of projects overseen by the supervisor. Works professionally and cooperatively with the functional and technical leaders, computer scientists, engineers, network and security engineers, and other technical staff within the CDAO information management community as a theorist, researcher, developer, and consultant. Renders professional advice, assistance, and decisions concerning technical matters related to CDAO's architecture and design to identify and resolve engineering and technical issues. Works alongside team and supervisors to support the vision, strategy, and road map within CDAO/AW and with larger DoD stakeholders

Requirements

• U.S. Citizenship is required
• Males born after 12-31-59 must be registered or exempt from Selective Service (see https://www.sss.gov/Home/Registration)
• Required to participate in the direct deposit program
• Individuals tentatively selected for drug testing designated positions will be required to submit to urinalysis for illegal drugs prior to appointment and are subjected to random drug testing.
• Position has been designated as a Top Secret Security designation level Special Sensitive. Incumbent is required to obtain and maintain a Top Secret/SS security clearance.
• The incumbent must adhere to DoD Standards of Conduct

Qualifications

In order to qualify for this position, you must meet the requirements described below. Basic Requirements: Computer Engineer GG-0854 or Electronics Engineer GG-0855 A. Degree: Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. OR B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:1. Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT)1 , or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions. 2. Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE)2 examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico. 3. Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A. 4. Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.) Computer Scientist GG-1550 Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. Qualifying Experience: To qualify at the GG-13, your resume must describe at least one year of experience that demonstrates the competencies necessary for immediate success in the position. Experience refers to any paid or unpaid experience, including volunteer work and Military service, that would be considered equivalent to work normally performed at the next lower grade level in the federal service. For this position, qualifying experience is defined as: Experience in providing technical guidance with respect to AI, AI-enabled systems, data science, data analytics and other fields such as scientific concepts, principles, standards, methods, techniques, practices, and procedures. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Candidates must describe how they meet the qualifying experience and/or selective placement factor(s) within the body of their resume. All qualifications must be met at the closing date of this announcement.

Education

There is no substitution of education for the qualifying experience at the GG-13 grade level.

Transcripts The absence of this information will result in an ineligible rating. (WHS serviced employees will be verified via eOPF or you may include them in your application package. However, it is the employee's responsibility to ensure that his/her eOPF contains the required transcript and is up-to-date).

To be creditable, education must have been obtained in an accredited college or university. You must report only attendance and/or degrees from schools accredited by accrediting institutions that are recognized by the U.S. Department of Education .

Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by the National Association of Credential Evaluation Services at the time of application. National Association of Credential Evaluation Services .

Contacts

• Address Chief Digital and Artificial Intelligence Office 4800 Mark Center Drive Alexandria, VA 22350 US
• Name: Washington HQ Services
• Phone: 000-000-0000
• Email: [email protected]