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Senior Exploitation Specialist, Data Steward

QinetiQ U.S.
United States, Virginia, Springfield
Apr 04, 2025

Senior Exploitation Specialist, Data Steward
Job Locations

4 hours ago(4/4/2025 1:30 PM)


Job ID
2025-11380

Posted Date
Subject Matter Expert


Job Location

US-VA-Springfield



Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.



Position Overview

Far Ridgeline Engagements, a QinetiQ US company, is seeking a Senior Exploitation Specialist - Data Steward in Springfield Va.



Responsibilities

    Responsible for accuracy and consistency of geospatial data management, developing and maintaining data standards, and ensuring data is protected and compliant with office and agency regulations and standards.
  • Demonstrates in-depth analysis of analytic operations and knowledge management issues across organizational and intra-IC boundaries and clearly articulates key findings.
  • Demonstrates ability to review analytic products for cogent arguments, tradecraft, industry and agency standards, and adequate support for conclusions; routinely tests analytic rigor of analytic content.


Required Qualifications

  • 10+ years of relevant experience with a bachelor's degree. (A combination of years of experience & professional certifications/trainings can be used in lieu of a degree)
  • Active TS/SCI Clearance. #QinetiQClearedJob
  • At least five (5) years of experience in geospatial data management, data governance, or data stewardship roles, preferably in a complex organizational environment.
  • Proficient in SQL and have foundational understanding of database technologies with the ability to analyze and profile data.
  • Familiarity with data privacy regulations and their impact on data management practices.
  • Strong understanding of data management principals, data governance frameworks, and data quality concepts.
  • Possess excellent communication and collaboration skills to work effectively with cross functional teams and stakeholders.
  • Detail-oriented, analytical, and adept at problem solving to address data-related issues and coordinate the implementation of data improvement initiatives.
  • Stay up to date with industry trends and emerging best practices in data management, governance, quality and stewardship.
  • Demonstrated ability to analyze complex data landscapes, identify data risks, and define mitigation strategies.
  • Excellent documentation and organizational skills to maintain data governance artifacts and support audits and compliance requirements.
  • Proficient in ESRI suite of tools, geodatabase technologies and web capabilities
  • Understanding of geospatial data metadata, standards, and implementation
  • ESRI Model Builder and/or Python/ArcPy experience preferred


Company EEO Statement

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

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