Summary
Located in the Office of Inspector General (OIG), Office of Executive Director, Office of Information Technology, Enterprise Data Analytics (OIG/EX/IT/EDA). Serves as senior technical expert in Artificial Intelligence (AI), advanced analytics, and data science. Focuses on providing expert level technical leadership, research, design, and implementation of AI and data-driven solutions to advance OIG programs, oversight activities, and mission outcomes.
Duties
Leads development, evaluation, and implementation of AI/ML models to enhance OIG oversight capabilities, including anomaly detection, risk scoring, predictive analytics, and automation of audit, evaluation, and investigative workflows.
Designs and implements advanced statistical analyses, machine learning pipelines, and data models to support evidence based decision making.
Serves as a senior technical advisor to OIG leadership on AI, automation, cloud computing, modern IT architectures, and digital innovation trends.
Recommends standards for AI model lifecycle management, data engineering practices, and technology modernization.
Education
Education requirements do not apply to this vacancy announcement.
How you will be evaluated
The evaluation process consists of the ApplyGov Competency Based Assessments and a crediting plan for which applicants will be assigned a score between 70 and 100. A resume review by subject matter experts will be conducted for the top qualified candidates based on the combined total score. Resumes longer than two pages will be deemed ineligible and will not be considered further. Responses to questions that are not fully supported by your resume may result in a rating adjustment. You will be assessed on the following job-related competencies (knowledge, skills, abilities, and other characteristics): Non-Supervisory: Oral Communication, Writing, Interpersonal Skills, Problem Solving, Teamwork, Technology Orientation, Customer Service, Attention to Detail and Self-Management. Set aside at least 2 hours to take the external assessments; however, most applicants complete the assessments in less time. There are timed sections that must be completed within the allotted timeframe. Your score from the external assessment Non-supervisory will remain on file for 180 days, allowing you to apply for multiple DOS-announced positions without needing to retake the assessments. Top applicants may be referred to the hiring manager for further consideration. The assessment is a measure of the degree in which your background matches the competencies and KSAs required for this position. Your qualifications will be evaluated on the following competencies: Knowledge of information technology specialty areas (e.g., application systems design, Knowledge of Enterprise and Information Architecture. Ability to apply program management principles, methods, and practices. Ability to integrate approaches to Information Architecture across an organization. Ability to make decisions based on information from a wide variety of sources. Ability to manage and complete long-term projects. Resume review: Subject matter experts (SMEs) will review your resume to determine your qualifications for this position based on the required specialized experience. Your resume should demonstrate how you meet all aspects of the specialized experience statement. SMEs will not review additional information beyond your resume (e.g., links embedded in your resume will not be opened.). If meeting basic qualifications through education only or a combination of education and experience, applicants will not be referred to the SME panel but will be reviewed by the HR Specialist for referral. Applicants found to be among the top qualified candidates will be referred to the hiring official for further consideration and possible interview. Qualified non-competitive candidates must be deemed best qualified based on the applicant assessment in order to be referred to the hiring official for further consideration and possible interview. In describing your experience, please be clear and specific. We do not make assumptions regarding your experience. Overstating your qualifications and/or experience in your application may result in your removal from consideration. You may preview questions for this vacancy.