Knowledge Manager / Knowledge Management Specialist (TS/SCI w/Poly Required) - Military veterans preferred

SAIC is seeking a highly motivated and accomplished Knowledge Manager / Management Specialist professional to support a dynamic, exciting program.  

Description / Duties

Under the guidance of the staff, the ideal candidate will devise a plan for research to improve discoverability of its research and development (R&D) data and insights.  The ideal candidate will also help determine how to run technology experiments and development in a data environment so that data and documentation of internally generated insights are effectively captured.  Assess the current state of data associated with internal research (information, repositories, artifacts, and relationships).  Assess the ability to search repositories.  Determine the type of data currently captured, provide insights into the data, assess what should be captured, and outline how to index it.

Analyze Data:

• Understand the population and current behaviors.  Research business questions and customer requirements.  Interview officers and units to determine what insights and artifacts matter for the organization and integration of the data collected; Determine ways to index, store, and search the data; Conduct user observation studies to capture obstacles to knowledge management.
• Assess informational elements (such as metadata and tagging) for capturing, marking, storing, searching, and accessing semi-structured information.
• Evaluate processes and device process mapping.
• Determine what documentation processes can be automated.

Manage Data:

• Provide data research, cataloging, discovery, and management practices to capture, make discoverable, and share documentation
• Develop a structure and hierarchy for the categorization of the data.
• Assist with creation of data business rules and interface for project tracking.
• Work with various internal and external organizations on requirements to digitize and make searchable hard copy collections relevant for trade craft and research.

Leverage Data:

• Design the best method to capture and make discoverable efforts such as experimental and test data, project reports, and lessons learned.
• Help define a knowledge management workflow and environment.
• Help build and communicate an understanding of the value of various data in an organization.
• Help scope requirements for future data management and data exploitation efforts, including topic modeling.