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ICITAP TRM Technical Advisor - Armenia

Job in Lancaster, Los Angeles County, California, 93586, USA
Listing for: Amentum
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Cybersecurity, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Amentum is a premier global services partner supporting critical programs of national significance across defense, security, intelligence, energy, and environment. Amentum draws from a century-old heritage of operational excellence, mission focus, and successful execution underpinned by a strong culture of safety and ethics. Headquartered in Chantilly, VA., Amentum employs more than 50,000 people on all seven continents. Amentum is supporting the U.S. Department of Justice (DOJ) in providing specialized training, advisory, and mentoring services to host nations under the Criminal Division’s International Criminal Investigative Training and Assistance Program (ICITAP).

https://(Use the "Apply for this Job" box below)..

ICITAP is a cornerstone of America’s global strategy for combating transnational crime and terrorism, countering trafficking in persons, establishing rule of law, and enhancing human rights in partner countries. Amentum is the contract service provider to the DOJ ICITAP and Overseas Prosecutorial Development, Assistance, and Training (OPDAT) programs.

Please Note:
This is an Independent Contractor position with Amentum and should not be considered an employment relationship with Amentum.

POSITION SUMMARY

Amentum is currently seeking a qualified candidate to serve as the Technical Advisor working remote with approximately 25% onsite presence. This position will be responsible for providing specialized IT and systems‑integration expertise to support modernization of the State Revenue Committee’s (SRC) Targeting and Risk Management System (TRMS). The Advisor serves as the bridge between operational requirements and technical execution, translating SRC needs into clear technical specifications for contractor implementation.

This role focuses on the technical implementation of the four TRM pillars, including assessment of existing and future data holdings, historical‑data preparation, ETL pipelines, standardization, data exchange, OCR integration, and future ML readiness. The role includes direct technical support and oversight in establishing the SRC analytical data lake, which will host ETL‑based data copies and serve as the central platform for analytics and future AI‑supported capabilities.

A key element of this role is the creation of structured data copies through ETL processes that will serve as the foundation for analytics and future ML models, without modifying the existing RMS.

JOB DUTIES AND RESPONSIBILITIES
1. Technical Assessment & Systems Integration
  • Identify and document existing SRC data sources (RMS, Single Window, manifests, external data) and planned future data collections, assessing their structure, quality, and suitability for analytical and ML use.
  • Support detailed assessment of SRC’s current IT architecture, DB structure, data flows, and system dependencies as outlined in the TRM Assessment Report.
  • Provide technical oversight and coordination with the contracted vendor to ensure system designs align with approved specifications and modernization priorities.
  • Serve as the primary technical counterpart to the SRC IT department during planning, design, integration, and testing activities.
  • Design and document modernized data architecture supporting:
    • standardized formats,
    • data harmonization and validation rules,
    • historical‑data pipelines,
    • manifest and external‑data ingestion,
    • and near‑real‑time analytical queries.
2. Development of Standardization & ETL Processes
  • Develop ETL logic for cleaning, transforming, and standardizing data across multiple SRC sources.
  • Provide technical guidance and oversight for the contractor responsible for designing and implementing the analytical data lake that consolidates standardized data for analytics and future AI‑supported capabilities.
  • Establish ETL‑based creation of data copies (nightly or periodic), which will serve as the dedicated analytical environment supporting historical queries, dashboards, and future ML models.
  • Work with SRC IT to create standardized metadata, validation rules, and data dictionaries.
  • Ensure preservation of original raw data while enabling improved analytical datasets.
3. Historical Data Implementation
  • Lead technical development of…
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