SUPERVISORY IT SPECIALIST (PLCYPLN)

SUPERVISORY IT SPECIALIST (PLCYPLN)

Department: Department of the Navy

Location(s): San Diego, California, Washington Navy Yard, District of Columbia, Suffolk, Virginia

Salary Range: $127646 - $197200 Per Year

Job Summary: This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer.

Major Duties:

• You will champion the transition to a data-centric enterprise, ensuring alignment with the Modern Service Delivery principle to "Emit Smart Data" and separate data from logic to fuel analytics and AI.
• You will use Weighted Shortest Job First (WSJF) to prioritize high-value analytics deliverables that enable senior leadership to make better decisions at the speed of relevance.
• You will focus on deliverables that enhance Operational Resiliency (through predictive analytics) and Adaptability (by reducing the time required to generate actionable insights).
• You will collaborate to balance the demand for rapid visualizations (the "what") with the need for robust, scalable data engineering and governance pipelines (the "how").
• You will ensure teams are building reusable data objects and APIs rather than one-off reports, adhering to the "Automate Everything" and "Built to Watch Itself" principles of modern service delivery.
• You will validate requirements for decision-support tools and ensure the ART delivers trusted, authoritative data to support the "Decide" pillar of the mission.
• You will collaborate with Business Planning and the Solution Manager to manage the DAV spend plan, ensuring efficient allocation of resources for data platform tooling, cloud consumption, and AI/ML licensing.

Qualifications: Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-13 grade level or pay band DP-03 in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Defining and executing a strategic roadmap for transitioning to a data-centric enterprise; managing the Data & AI Solution Backlog and driving mission outcomes through improved analytics, operational resiliency, and actionable insights; and ensuring the successful delivery of data-driven capabilities like the Central Data Exchange (CDX), Azure Data Fabric, and AI/ML solutions. 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.

How to Apply: Interested Applicants must submit resumes/application packages to: https://navwar.yellogov.com/external/requisitions/Y9lbXfOYgaVEluzGynCIFg POC: Denise Beamon Email: denise.m.beamon2.civ@us.navy.mil Facsimile applications will not be considered. All resumes/applications must be received no later than the close date of this flyer. Resumes are restricted to no more than 2 pages. Illegible/unreadable resumes will not be considered. It is the applicant's responsibility to verify that all information in their resume and documents, are received, legible, and accurate. HR will not modify answers/documents submitted by an applicant. Failure to submit a complete application package will result in an ineligible rating and loss of consideration.

Application Deadline: 2026-05-11