Enterprise Knowledge Manager & AI Strategy Lead

ManTech; Herndon (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

MANTECH seeks motivated Knowledge Managers to join our team in Oahu Hawaii, Herndon Virginia and Dallas Texas. The role centers on leading enterprise KM strategy, governance, and cross-functional collaboration to ensure mission-critical information flows across theaters.

Active Secret Clearance is required. Seniorlevels include policy approval, enterprise KM architectures, and integration of AI/ML frameworks into predictive logistics.

Qualifications

• Bachelor's degree in a related field and minimum experience requirements vary by level.
• Active Security Clearance required (Secret).
• Experience in authoring enterprise KM strategies and governance frameworks.

Responsibilities

• Serve as the principal authority for enterprise Knowledge Management strategy and governance with compliance requirements.
• Define strategic roadmaps for multi-system convergence and interoperability across theaters.
• Lead AI/ML integration planning and resilience strategies for knowledge continuity in complex environments.
• Coordinate cross-functional knowledge sharing and information flow to Mission Partners.
• Advise Command leadership and oversee resource allocation for KM systems.

Education

Bachelor’s degree in Management Information Systems, Communications, Business Administration, or a related field

Bachelor's degree in Business, Management, Information Science, Data Management, or a related field

Bachelor’s degree in Information Systems, Management, Library Science, or a related field

Job description

MANTECH seeks motivated Knowledge Managers to join our team in Oahu Hawaii, Herndon Virginia and Dallas Texas. The role centers on leading enterprise KM strategy, governance, and cross-functional collaboration to ensure mission-critical information flows across theaters.

Active Secret Clearance is required. Seniorlevels include policy approval, enterprise KM architectures, and integration of AI/ML frameworks into predictive logistics.