Senior Technical Advisor

Senior Technical Advisor / Technical Project Manager

Clearance:
Secret required

• Serve as a Senior Technical Advisor providing guidance and perspective on AI/ML, computer vision, and data engineering best practices to support autonomy-enabling initiatives across the Department.
• Provide technical leadership to guide stakeholders toward value-driven decisions and mission-aligned outcomes.
• Translate operational needs into technical roadmaps, program plans, and actionable deliverables for AI and autonomy development.

• Engage and collaborate with senior Department stakeholders across Services and Agencies, including GS-15 and O-6 level leadership, to gather operational requirements and technical feedback.
• Facilitate clear communication between technical teams, program leadership, and executive stakeholders, translating complex technical concepts into mission impact.
• Serve as a key liaison among data scientists, ML engineers, product managers, vendors, research partners, and government leadership.

• Lead the definition and planning of new initiatives, including development of technical scope for OTA prototype and production efforts.
• Define Key Performance Parameters (KPPs) and Key System Attributes (KSAs) to enable measurable evaluation of program success.
• Identify emerging technical opportunities and help bootstrap new autonomy-enabling initiatives.

• Manage cost, schedule, and performance for ongoing AI and data engineering efforts delivered through FFRDC partners, OTA performers, and other technical providers.
• Oversee technical execution of initiatives delivering:
  • Data curation and labeling pipelines
  • AI/ML model development and training infrastructure
  • Testing and evaluation capabilities
  • Operational deployment infrastructure for AI-enabled systems
• Identify and mitigate program risks including data quality, model performance, and regulatory or security constraints.

• Manage a distributed computer vision data pipeline involving multiple stakeholders and capability providers.
• Coordinate cross-functional teams to ensure alignment between data engineering, ML development, infrastructure, and operational deployment efforts.
• Allocate resources effectively across initiatives and manage competing priorities in a dynamic mission environment.

• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Technology, Statistics, or related field
• 5+ years of experience working in data science, AI/ML engineering, or related technical fields
• 3+ years of experience working in a DoD environment
• Demonstrated experience leading technical programs or projects involving AI/ML systems
• Data curation, preparation, and labeling
• MLOps practices supporting model development and deployment
• Strong written and verbal communication skills, including experience presenting to senior government leadership
• Ability to work independently while coordinating across multiple stakeholders and technical teams

• Demonstrated ability to develop and manage program roadmaps, timelines, and milestones across multiple AI/ML initiatives
• Experience with computer vision model development, particularly object detection, classification, and tracking
• Experience managing OTA prototype and production programs
• Experience with commercial ML Ops platforms and data management tools
• Ability to translate operational requirements into technical architecture and program execution plans
• Understanding of sensor modalities used within the Department and the operational employment of these sensors
• Familiarity with autonomous system development practices, testing frameworks, and evaluation methodologies
• Familiarity with National System for Geospatial-Intelligence (NSG) networks and security controls

Position Type:
Full-time

Work Location:

On-site in client locations in Bailey’s Crossroads, VA and Arlington, VA

Travel: 5%

• Time Off: PTO, VTO, Holidays
• Full Competitive Benefits Package
• Pre-tax FSA and HSA
• Life and Disability Insurance
• Educational Assistance
• 401K Plan with 4% Non-elective Employer Contribution
• Performance-based profit sharing
• Opportunities to volunteer and give to charities
• Employee and growth-centered culture of teamwork and shared goals