You will serve as an IT PROGRAM MANAGER in the Command Information Office of Naval Facilities Engineering Systems Command.
- You will serve as the program lead for a significant program with Command-wide or enterprise-wide impact.
- You will perform program management including analyzing and evaluating quantitative and qualitative data to support strategic decision making.
- You will lead IT and data project teams in a visionary, customer-focused manner, managing hardware, software, data pipelines, APIs, systems, services, engineering, integration, and documentation activities.
- You will lead the strategic exploration, adoption, and governance of Artificial Intelligence (AI) and Machine Learning (ML) capabilities across the enterprise data ecosystem.
- You will establish robust AI governance protocols to ensure all implementations comply with GenAI.mil guidelines, DOW directives, and rigorous Unbiased AI Principles.
- You will serve as the Command's technical authority on data integration, interoperability, and enterprise data flow.
- You will design, implement, and manage comprehensive data integration strategies that bridge legacy operational technology (OT) systems with modern, cloud-based data lakehouse architectures.
- You will employ expertise in qualitative and quantitative methods to assess and improve complex management processes, IT systems, and data flow architectures.
Your resume must demonstrate at least one year of specialized experience at or equivalent to the GS-13 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: 1. Enterprise Data Management and Architecture: Expertise in managing complex NAVFAC SYSCOM data environments, including integration of legacy operational data, enterprise networks, data Lakehouse platforms, API-based data exchange, and cloud data services. Knowledge of data architecture, data lifecycle management, and scalable data integration practices. Strong interpersonal skills to build consensus among diverse stakeholders (technical vendors, DBAs, data stewards, and other Naval activities), resolve critical integration bottlenecks, and provide subject matter expertise. 2. Data Governance and Data Quality: Advanced capability in applying project management principles (cost, schedule, resources, POA&M, AOA) to short- and long-range IT/data acquisitions. Ability to establish and administer enterprise data governance frameworks, including data standards, metadata management, data stewardship, schema governance, data quality controls, and repeatable standard operating procedures. Skilled in assessing data processes and implementing improvements that enhance data completeness, consistency, accessibility, accuracy, and usability. 3. Master Data Management and Data Engineering: Proficiency in developing and sustaining master data management (MDM) capabilities, including authoritative data sources, data domains, reference data, data lineage, data reconciliation, and cross-system integration. Ability to apply data engineering principles to design, build, and maintain scalable data pipelines, data models, curated data sets, and analytics-ready data products. and 4. AI Development and Data Enablement: Experience supporting the development and implementation of artificial intelligence and machine learning capabilities, including generative AI and large language model applications. Ability to prepare, govern, validate, and maintain high-quality data assets that enable responsible, reliable, and mission-relevant AI development across NAVFAC SYSCOM. To include knowledge with the latest in dashboard visualization tools in industry. Your experience must reflect skill in the following areas: attention to detail, customer service, oral communication, and problem solving. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/2200/information-technology-it-management-series-2210-alternative-a/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.
