AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

AI/Data Science Training Manager/Curriculum Developer

The DoW SkillBridge Program is an opportunity for service members to gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Eligibility Requirements:

• Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
• Served at least 180 days on active duty
• Within 180 days of separation or retirement
• Will receive an honorable discharge
• Has taken any service TAPS/TGPS
• Has attended or participated in an ethics brief within the last 12 months
• Received Unit Commander written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

• 90-180 days

Position Overview: As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You'll work closely with subject matter experts, instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.

Position Requirements:

• Must be a US Citizen
• Active TS/SCI clearance/polygraph required
• Must be able to report daily to Columbia, MD office
• Strong understanding of IC mission, tools, and workflows
• Experience in developing, modernizing, or delivering technical training
• Familiarity with curriculum development methodologies and instructional systems design principles

Minimum six (6) years of experience in one or more of the following fields:

• Data Science / Data Analytics
• Machine Learning / Artificial Intelligence
• Signals Analysis
• SIGINT Metadata Analysis
• Cyber Threat Intelligence
• Target Digital Network Analysis
• Digital Network Exploitation Analysis
• Malware Analysis
• Cloud-based Data Pipelines
• Conducting Network Vulnerability Assessments

Ideal Candidates Come From the Following Military Occupational Skill Communities:

• Air Force: 1N4, 3D0, 3D1
• Marine Corps: 2611, 2629, 1721
• Army: 17C, 170A, 35N, 352N
• Navy: CTN, CTR, IW Officers

Desired Training or Certifications:

• Master Training Specialist (MTS)
• Common Faculty DevelopmentInstructor Course (CFD-IC)
• Army Basic Instructor Course (ABIC)
• Air Force Basic Instructor Course (BIC)
• Adjunct Faculty (ADET, NCS, NCU)
• AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
• Data Science Bootcamps or equivalent experience

Bonus Experience:

• Familiarity with Jupyter Notebooks, Python, R, or SQL
• Experience with data visualization tools (Power BI, Tableau, etc.)
• Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
• Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)

This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action, layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.