Data Subject Matter Expert at WTI Hampton, VA
Join WTI:
Driving Innovation and Delivering Excellence. WTI is a Women‑Owned Small Business (WOSB) delivering innovative technology solutions, cybersecurity expertise, and strategic support to the U.S. Air Force and other Department of Defense (DoD) initiatives. The team specializes in secure data modernization and mission‑critical system advancements, fostering operational success through collaboration and expertise.
Job Title: Data Subject Matter Expert
Location: Hampton, Virginia
Clearance Level: TS/SCI
WTI seeks a highly skilled and experienced Intelligence Data Subject Matter Expert (Data SME) to serve as a Data Liaison Officer (Data LNO). The role provides critical support to intelligence, surveillance, and reconnaissance (ISR) data initiatives, acting as a bridge across military organizations to drive effective data strategies, governance, and integration efforts that enhance mission success.
Key Responsibilities- Serve as a Data LNO, coordinating ISR data‑related initiatives between operational units and stakeholders.
- Develop, implement, and refine data strategies that enhance ISR data collection, integration, and utilization.
- Act as a trusted advisor on ISR data management policies, frameworks, and tools, aligning with industry standards.
- Identify, analyze, and address data interoperability and sharing challenges across multi‑domain operations.
- Collaborate with cross‑functional teams to implement data governance and security policies in support of mission objectives.
- Provide expertise in ISR data architecture, supporting digital transformation and advanced data analytics initiatives.
- Facilitate the effective dissemination and use of ISR data to optimize situational awareness and decision‑making.
- Provide direct recommendations on data standards, policy, and governance.
- Attend required meetings in person and virtually as needed.
- Proven expertise as a Data SME and Data LNO in high‑visibility, cross‑functional environments.
- Hands‑on experience with Geospatial Information Systems (GIS), Imagery, Moving Target Indicator (MTI), and Full Motion Video (FMV) analysis workflows.
- Advanced proficiency with ICR Turbo/Cognos, Esri, and GXP platforms.
- Extensive background in ISR data management, including governance, architecture, and lifecycle management.
- Strong technical acumen in information technology and data‑sharing technologies, standards, and interoperability frameworks.
- Exceptional interpersonal, verbal, and written communication skills.
- Proven project management experience, overseeing scope, schedules, and deliverables.
- Comprehensive understanding of intelligence systems from analytic and technical perspectives.
- Strong writing abilities for developing task orders, documentation, courses of action, and recommendations.
- Solid foundational knowledge of the targeting process and the critical role of intelligence in shaping targeting strategies.
- Strong organizational skills to manage multiple priorities and meet deadlines in fast‑paced, high‑pressure environments.
- Ability to contribute effectively to technical discussions and brief senior leadership with clarity and precision.
- Skilled in stakeholder engagement and assessing user requirements to align project objectives with mission goals.
- Bachelor's degree in computer science, information technology, statistics, mathematics, data science, or a related field.
- Experience with cloud‑based data platforms and Zero Trust security models.
- Experience in data strategy development for multi‑domain operations, optimizing integration, interoperability, and decision‑making across joint and coalition forces.
WTI is an Equal Opportunity Employer committed to providing equal employment opportunities to all applicants and employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We strive to build a diverse workforce and strongly encourage applications from all qualified individuals.
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