Telework Eligible

Yes

Major Duties

• Serves as a Data Architect within the Enterprise Data Management (EDM) Division of the Chief Digital and AI Office (CDAO), Defense Logistics Agency (DLA).
• Responsible for developing and maintaining the Agency’s enterprise data architecture framework, ensuring the integrity, quality, and interoperability of data across DLA systems.
• Provides authoritative technical guidance on data modeling, metadata management, and data integration.
• Works in close coordination with EDM Division Chief, Chief Data Architect, and other technical leads to align data architecture with DLA’s enterprise data and AI strategies.
• Enables enterprise artificial intelligence, analytics, modernization, and governance initiatives that support mission ready, data-driven operations.

Qualification Summary

To qualify for an IT Specialist (ENTARCH/DATAMGT) 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: - Develops and establishes new theories and architectural paradigms for the design and implementation of enterprise data systems, ensuring these strategies maximize system performance, data interoperability, and mission readiness. - Architects and directs the implementation of enterprise-wide strategies for leveraging Artificial Intelligence and Machine Learning (AI/ML), designing the foundational data frameworks required to enable advanced analytics and data-driven decision-making. - Leads the evaluation and integration of emerging technologies, piloting innovative solutions and providing authoritative recommendations to leadership on their adoption into steady-state operations. - Designs and establishes enterprise patterns and platforms for the secure and efficient integration of data from multiple sources, including relational, dimensional, and unstructured formats 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.