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Director – Data & Knowledge Management

Job in Newport News, Virginia, 23600, USA
Listing for: North Wind
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Director – Data & Knowledge Management

Full Time Minnesota FLM St Paul, MN, US

5 days ago Requisition

Salary Range: $ To $ Annually

Join North Wind – Accelerating Hypersonic Innovation

At North Wind, we are advancing hypersonic technologies through cutting-edge research, system development, and flight testing. Our team drives innovation in high-speed aerodynamics, propulsion systems, and mission-critical components, supporting every phase of hypersonic programs - from R&D to flight testing, If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.

We are seeking a highly skilled Director for Data & Knowledge Management to lead the architecture, development, integration, and operation of enterprise data and knowledge capabilities supporting Digital Engineering, AI/ML, Modeling & Simulation, advanced analytics, and mission-critical engineering applications. The successful candidate will establish and lead a multidisciplinary team responsible for transforming complex, distributed, and heterogeneous engineering and mission data into governed, discoverable, reusable, and AI-ready information and knowledge products.

This role encompasses the complete data lifecycle—from acquisition, ingestion, transformation, curation, and storage through metadata, provenance, semantic modeling, knowledge representation, analytics, and intelligent retrieval.

The position requires a combination of technical depth, data science leadership, systems thinking, and organizational leadership. The Director will establish architectures and engineering practices that allow data and knowledge to be reliably used by engineers, analysts, data scientists, AI systems, and autonomous agents across on-premises, commercial cloud, government cloud, and regulated or classified environments.

Responsibilities
  • The Director for Data & Knowledge Management will lead the development and operation of enterprise data and knowledge capabilities supporting advanced engineering, artificial intelligence, modeling and simulation, analytics, and mission applications. This role serves as the team leader for data engineering, data science, knowledge engineering, metadata and provenance management, data governance, and information retrieval capabilities.
  • The Director will build and manage teams responsible for acquiring, processing, curating, governing, and exposing data from engineering systems, test environments, simulations, sensors, enterprise applications, and other authoritative sources. The organization will establish reusable data pipelines and data products while preserving the context, lineage, relationships, uncertainty, and provenance necessary to transform raw information into trusted engineering and mission knowledge.
  • The successful candidate will provide technical leadership for modern data architectures including lakehouse and data fabric patterns, distributed data processing, semantic models, ontologies, knowledge graphs, vector and graph databases, and AI-enabled knowledge retrieval. Particular emphasis will be placed on making enterprise data accessible to AI/ML and agentic systems through governed APIs, retrieval-augmented generation (RAG), semantic search, knowledge graphs, and machine-readable context.
  • The Director will also lead the application of data science and advanced analytics to extract information from complex datasets, identify relationships and patterns, develop predictive capabilities, and create reusable analytical methods and data products. The role requires the ability to bridge traditional data engineering…
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