Job summary

See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $122,198 - $158,860 Columbus, OH: $127,408 - $165,632 Dayton, OH: $126,717 - $164,735 Fort Belvoir, VA: $139,395 - $181,216 New Cumberland, PA: $139,395 - $181,216 Ogden, UT: $122,198 - $158,860 Philadelphia, PA: $134,468 - $174,811 Richmond, VA: $127,523 - $165,782

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

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.

Education

Substitution of education may not be used in lieu of specialized experience for this grade level.

Evaluations

Direct Hire Evaluation: Once the application process is complete, a review of your application will be made to ensure you meet the job requirements. This vacancy will be filled through a Direct Hire Authority. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration. The rule of Three, Veteran's Preference and traditional rating and ranking of applicants do not apply to this vacancy. We will evaluate your application for basic eligibility and to determine if your experience meets the basic qualification requirements described in the announcement. All applicants who meet the qualifications and other basic requirement are eligible for referral and selection consideration. Please follow all instructions carefully. Errors or omissions may affect your rating.