Identity Data Management (IddM) Instructor - Mid
Landover, MD, United States
QinetiQ US
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 LLC is seeking a Mid-Level Instructor to provide learning and performance solutions based on methods and modalities that include, but not limited to, course development/design, instructional delivery, mentorship, and overall technical knowledge of identity data management. Practical experience levels in identity data management support, application, and/or use must have significant depth and breadth serving to bridge the curriculum instruction with the student application. The application of experiential knowledge differs among the various courses but can be categorized as Mid-Level. The mid-level Instructor has served in a technician support capacity providing direct support to a combination of National, DoD, Component, or IC level organizations. Possesses practical or educational knowledge, skills, or abilities in the application of biometric considerations of identity data management.
Responsibilities
The Mid-Level Instructor uses the key skills of analysis, objective writing, evaluation, training material development, and facilitation techniques in the design, development, and delivery of training utilizing in-residence training, mobile training, distance learning, and computer based training. Personnel will provide instructional delivery, prepare instructional material and products, coordinate course requirements and prepare the training environment, participate in the design and development of new course materials, mentor students and provide evaluatory input, and assess recency and relevancy of instructional material and content.
Required Qualifications
- A Mid-Level Instructor must possess a minimum of 3 years technician experience with some of that experiential base relating to the application of Biometrics as it relates to identity data management.
- TS-SCI #qinetiqclearedjob
- Current CI Scope polygraph examination. If the candidate does not have a current CI Scope poly, or has an out-of-scope poly, this requirement can be accomplished as part of the SCI nomination process.
- Graduate of the Advanced Technician’s Course, Advanced Planner’s Course, Due Diligence Course, or Travel Security Training Course (or their legacy equivalents)
- Possess a valid U.S. driver’s license
- Communicate effectively orally and in writing
Preferred Qualifications
- Instructor (formal or informal) experience
- Instructional Systems Design (ISD) experience
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data management Driver’s license Machine Learning Research Security
Perks/benefits: Career development
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