Intelligence Project Manager

Riverside Research Institute•Dayton, OH

1d•Onsite

About The Position

Riverside Research is seeking a full-time Intelligence Project Manager to support the National Air & Space Intelligence Center (NASIC) at Wright-Patterson AFB, Ohio. The role is part of a multidisciplinary team managing intelligence contracts and task orders. The project manager helps translate government technical goals into repeatable processes, interconnected tools, and contract language, and assists in developing these when they are not already established. The position collaborates with acquisition leads and supports financial planning, execution tracking, and timely reporting and analysis. It oversees the development and maintenance of resource-requirement processes, tools, and documentation, analyzes data and recommends improvements, and facilitates business-analytics data aggregation, visualization, and analysis to inform policy and planning decisions. All Riverside Research opportunities require U.S. citizenship.

Requirements

Active TS clearance with SCI adjudication.
Bachelor’s degree in business administration, accounting, finance, engineering, computer science, physics, math, history, or a related field.
Minimum 8 years of experience with intelligence project-management duties.
Demonstrated experience with Tableau, Excel tools, and SharePoint.
Demonstrated experience with business analytics and principles of analyzing financial and production data.
Effective written and verbal communication skills.
Proficiency in Microsoft Word and PowerPoint.
Self-motivated, detail-oriented, responsible team player able to work independently with minimal daily direction.
Ability to work and interact with technically and organizationally diverse personnel.
Ability to balance multiple tasks and shift between projects quickly.
Eagerness to acquire new skills based on recognition of customer need.
U.S. citizenship.
Openness to occasional travel.

Nice To Haves

Familiarity with NASIC intelligence analysis and production processes.
Familiarity with NASIC contract vehicles such as ATEP II, MEGASTAR, NOVASTAR, and COMET.
Master’s degree in business administration, accounting, finance, engineering, computer science, physics, math, history, or a related field.
Professional certifications in project management, contracting, requirements management, and/or lifecycle logistics, such as PMP or DAWIA.
Familiarity with Microsoft 365 tools, including SharePoint site/subsite architecture, permissions management, lists and libraries; Power Automate complex workflows; Power BI dashboards, Power Query ETL, and semantic models; Excel Power Query ETL and pivot tables and charts; and Tableau Prep, Desktop, and Server.

Responsibilities

Support, and when needed lead, development, documentation, and governance of data dictionaries, business rules, user guides, and training materials.
Translate policy, acquisition, and operational requirements into data standards and business logic for analytics, reporting, and decision-support solutions.
Produce mission-focused user documentation and technical guidance, using dashboards, data visualizations, and process flows as appropriate.
Design and deliver training materials and formal briefings for government, contractor, technical, and non-technical audiences.
Contribute to the design, development, testing, and sustainment of project tracking, analytics, and visualization tools.
Use SharePoint and Power Automate to support workflow automation, document control, data collection, and process standardization.
Support contract administration and execution, including tracking deliverables, reviewing invoices, and monitoring obligations and expenditures.
Coordinate meetings, working groups, or tiger teams; prepare minutes; track project status; draft white papers and briefings; and present recommendations to decision makers.
Support financial planning and execution tracking and provide timely reporting and analysis.
Oversee resource-requirement processes, tools, and documentation to support strategic alignment and effective resource allocation.
Analyze data and recommend improvements.