USA remote
Chief Technology Officer
About this role
QUALIFICATIONS: Eligibility will be based upon a clear showing the applicant has training, education and experience of the scope and quality sufficient to effectively carry-out the duties of the position. Candidates must exemplify the corporate perspective, leadership vision, broad experience and character needed in the Civilian Senior Executive Service corps not only to satisfy the immediate vacancy, but future vacancies which will occur in a variety of organizations, functions and locations.
Basic Requirement: You must have IT-related experience demonstrating each of the five competencies listed below: 1. Information Management - Identifies a need for and knows where or how to gather information; organizes and maintains information or information management systems. 2. Decision Making - Makes sound, well-informed, and objective decisions; perceives the impact and implications of decisions; commits to action, even in uncertain situations, to accomplish organizational goals; causes change.
3. Problem Solving - Identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations. 4. Reasoning - Identifies rules, principles, or relationships that explain facts, data, or other information; analyzes information and makes correct inferences or draws accurate conclusions. 5. Technical Competence - Uses knowledge that is acquired through formal training or on-the-job experience to perform one's job; works with, understands, and evaluates technical information related to the job; advises others on technical issues.
AND TECHNICAL QUALIFICATIONS: Applicants must reflect superior technical qualifications demonstrated through leadership and management in the following: TQ1: Demonstrated executive-level technical experience leading enterprise IT strategy, cloud architecture, and the operational integration of advanced Artificial Intelligence (AI) and Machine Learning (ML) solutions. This includes proven expertise in designing scalable architectures (e.g., cloud platforms, containers, microservices) and overseeing the deployment of Large Language Model (LLM) ecosystems and Natural Language Processing (NLP) frameworks to process petabyte-scale datasets.