Applicants are responsible for confirming all required materials are submitted by the closing date of the announcement. Please check the How You Will Be Evaluated and Required Documents sections carefully, as missing documents will render the application incomplete and ineligible for review. Qualifying experience may be obtained in the private or public sector. 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. All qualification requirements must be met by the closing date of this announcement. BASIC REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement SK-16: Applicant must have at least one year of specialized experience equivalent to the GS/SK-14 level: Facilitating the implementation of multiple data-sharing mechanisms (i.e. data-sharing agreements, secure data-exchange workflows, and/or access-controlled repositories) using information-sharing theory, policies, procedures, and technologies; AND Developing and executing organizational data strategies that protect and optimize agency and industry data assets and ensure their secure, strategic, and mission-aligned use; AND Leading and advancing the integration of artificial intelligence to transform lifecycle management of data and records and ensure compliance with data governance standards, federal records requirement, and information management laws/regulations; AND Designing and maintaining large-scale interdependent data sets while ensuring data quality. ACCOMPLISHMENT RECORD COMPETENCIES: Your Accomplishment Record narratives should address the following competencies. See the How You Will Be Evaluated section below for more information: Data Governance Management - Establishes policies, standards, and operating models for data quality, privacy, lineage, and stewardship across the lifecycle of data and records. Technology Awareness and Innovation - Maintains awareness of emerging data platforms and analytics/ AI/ML capabilities and uses this knowledge to introduce and share relevant advancements that strengthen organizational capabilities. Teamwork and Collaboration: Interacts with internal and external others in a manner that advances agency goals and objectives. Data Engineering - Performs analysis, builds data pipelines and models, and recommends solutions in line with Federal regulations, factoring in general and specific considerations for decisions and next steps. .