Supervisory IT Project Manager (SYSANALYSIS/PLCYPLN)
Company: Defense Logistics Agency
Location: Fort Belvoir
Posted on: July 15, 2025
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Job Description:
Telework Eligible Yes Major Duties Serves as the Supervisory
Artificial Intelligence (AI) Risk Assessment Branch Chief. Provides
subject matter expertise in risk assessment of AI solutions and
information technology (IT) technical support and guidance for the
implementation of Responsible AI enterprise-wide. Position
organizes, aligns, directs, and manages the AI risks and ensures AI
technologies are developed and deployed safely, ethically, and in
compliance with laws and regulations. Develops and executes on a
systematic approach to identifying, evaluating, and mitigating
risks associated with AI systems to identify technical and societal
risks across the lifecycle of AI responsible use from acquisition
and/or design to deployment. Directs the highly technical and
professional risk assessment program for the (AI Center of
Excellence (CoE) which involves the development of major aspects of
AI risk assessment and IT regulatory, legal, and policy activities.
Executes and coordinates the planning, organizing, controlling, and
integrating of the AI risk management and internal management
control programs and initiatives within DLA ensuring compliance
with requirements to manage risks from the use of AI, including
those established in Office of Management and Budget's (OMB's)
memorandum and in relevant law and policy. Using expert project
management principles, methods, and practices defines AI risk
management milestones, monitors activities, evaluates, and reports
on DLA's responsible AI risk management program adheres with DLA,
OMB, and President's executive orders (EOs), goals, and objectives
are consistent with responsible AI management intent. Qualification
Summary To qualify for a Supervisory IT Project Manager
(SYSANALYSIS/PLCYPLN), your resume and supporting documentation
must support: A. Specialized Experience: One year of specialized
experience that equipped you with the particular competencies to
successfully perform the duties of the position and is directly in
or related to this position. To qualify at the GS-14 level,
applicants must possess one year of specialized experience
equivalent to the GS-13 level or equivalent under other pay systems
in the Federal service, military, or private sector. Applicants
must meet eligibility requirements including time-in-grade (General
Schedule (GS) positions only), time-after-competitive appointment,
minimum qualifications, and any other regulatory requirements by
the cut-off/closing date of the announcement. Creditable
specialized experience includes: Assesses AI risks related to data,
models, operational environment, ethical, societal, legal, and
compliance. Evaluates risks based on impact to the organization and
society. Categorizes risks based on severity and likelihood. Uses
knowledge and understanding of the complex interrelationships of
multiple IT specialties to ensure the integration of IT programs
and services adhere to AI responsible use risk management and
internal management control activities developing solutions to
issues. Develops risk mitigation plan and implement safeguards such
as explainable AI, bias detection tools, and robust testing
processes. Develops an incident response plan to respond to AI
risks such as algorithmic failure or misuse. Executes and
coordinates the planning, organizing, controlling, and integrating
of the AI risk management and internal management control programs
and initiatives within the company ensuring compliance with
requirements to manage risks from the use of AI. Experience working
with interdisciplinary teams of data scientists, engineers, and
risk and policy experts. Experience in identifying, assessing, and
mitigating risks associated with AI/ML systems, including biases,
security vulnerabilities, and ethical concerns. Experience in
ensuring compliance with laws and regulations, such as DoD AI
Ethical Principles, Privacy Act, and Federal Acquisition
Regulations. Knowledge of AM/ML frameworks, algorithms, and tools,
as well as their practical applications. 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.
Keywords: Defense Logistics Agency, Franconia , Supervisory IT Project Manager (SYSANALYSIS/PLCYPLN), IT / Software / Systems , Fort Belvoir, Virginia