Enterprise Al Services Lead

HQ USAF and Support Elements•Andrews AFB, MD

About The Position

This position leads the functional management office for all DAF enterprise AI services and is responsible for ensuring the delivery of robust, scalable, and secure AI capabilities to meet mission needs across the Total Force. This role requires a technical and programmatic leader focused on operationalizing AI solutions, managing the enterprise AI ecosystem, and driving the DAF's digital transformation through the adoption of cutting-edge AI services and infrastructure.

Requirements

  • U.S. Citizenship Required
  • Males must be registered for Selective Service, see www.sss.gov
  • If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement.
  • This position is subject to provisions of the DoD Priority Placement Program
  • Disclosure of Political Appointments
  • Depending on the type of position (competitive/excepted) you are selected for, you will be required to serve a 1-year probationary period OR 2-year trial period. Upon completion of your probationary/trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.
  • This is a drug testing designated position. The incumbent is subject to random drug testing for drug use.
  • Work may require travel away from the normal duty station on military and commercial aircraft.
  • This position meets the professional exemption criteria for the Fair Labor Standards Act (5 CFR 551.207).
  • The employee may be required to work other than normal duty hours, which may include evenings, weekends, and/or holidays.
  • Must be able to obtain and maintain a Top Secret Clearance.
  • Degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
  • 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.
  • All academic degrees and course work must be from accredited or pre-accredited institutions.
  • One (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems.
  • Mastery knowledge of one or more specialized areas of operations research and computer science sufficient to apply new theories, developments, methodologies, and research findings to broad studies of an unprecedented nature.
  • Mastery knowledge to design, build, and use very complex, sophisticated computer models to simulate real-world environments of many variables.
  • Mastery knowledge of research techniques and concomitant ability to obtain information concerning subject studies to perform sound analyses.
  • Skill in coordinating extensive projects in assigned areas of responsibility. Projects are characterized by high visibility, unusual urgency, or program criticality.
  • Ability to identify the significant variables and determine their underlying relationships.
  • Ability to use advanced techniques and the modification and extension of theories, precepts, and practices of computer science and related sciences and disciplines.
  • One year at the GS-13 level is required to meet the time-in-grade requirements for the GS-14 level.
  • Knowledge of a broad range of computer science and operations research techniques with possession of analytical abilities.
  • Knowledge of computer science techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions.
  • Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions.
  • Skill to negotiate and/or defend findings and program support concepts. Ability to lead study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints.
  • Ability to develop and utilize appropriate data collection techniques and design, build, and use computer models and simulation techniques.
  • Ability to communicate effectively, both orally and in writing; negotiate complex issues; and maintain good working relations.

Nice To Haves

  • A completion of a data science technical boot camp which includes a capstone project experience.

Responsibilities

  • Leads the functional management, design, and architecture of the DAF enterprise AI capability ecosystem, ensuring a scalable and secure environment for deploying AI.
  • Drives the operationalization of AI across the DAF by working with mission owners to identify, prioritize, and implement enterprise-level AI solutions that enhance decision-making and mission readiness.
  • Oversees the development and management of the enterprise AI ecosystem, including common pipelines for developing, testing, and deploying AI models to ensure capabilities are sustainable, adaptable, and efficiently resourced.
  • Serves as a key proponent for advancing AI within the DAF, advocating for high-priority enterprise use cases that deliver transformational change and enhance operational effectiveness.
  • Responds to internal and external taskers and inquiries regarding enterprise AI services and operational readiness, providing authoritative and timely information.
  • Supports broader data and AI office initiatives as needed, contributing to the overall mission and strategic objectives of the DAF Chief Data and Artificial Intelligence Office (CDAO).

Benefits

  • A career with the U.S. government provides employees with a comprehensive benefits package.
  • As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding.
  • Disabled veteran leave is available to a Federal employee hired on/after 5 Nov 2016, who is a veteran with a service-connected disability rating of 30% or more.
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