Systems Engineering, Senior Advisor

Peraton•Chantilly, VA

1d•$146,000 - $234,000

About The Position

We're seeking an expert-level systems engineer to provide strategic program management and SETA support for multiple AI/ML and data analytics initiatives within a mission-critical intelligence environment. This role requires a dynamic leader who can interface with senior government stakeholders, coordinate cross-functional teams and vendors, drive complex projects from concept through deployment, and provide technical guidance on government contracting and acquisition activities.

Requirements

Active TS/SCI with poly clearance
Minimum of 12 years of experience with BS/BA, 10 years with MS/MA, or 7 years with PhD
Four additional years of relevant experience may be substituted for degree
Proven ability to interface with senior government leadership and influence critical program decisions
Experience working with diverse stakeholders, including technical teams, project managers, and end users
Knowledge of government contracting and acquisition processes, including FAR, OTA, and COTR roles
Ability to provide technical support and guidance to COTRs
Strong experience with Agile methodologies and sprint-based development
Understanding of software and system development lifecycles
Experience managing full project lifecycles from concept through deployment
Experience documenting workflows, processes, and CONOPS
Knowledge of requirements gathering, analysis, and prioritization methods
Experience identifying project risks and developing/monitoring mitigations
Experience with AI/ML technologies and model integration into systems
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Understanding of deep learning concepts and architectures
Experience evaluating or testing developing AI/ML platforms
Ability to collect, analyze, and visualize data to support decision-making
Experience capturing UI/UX requirements to inform product development
Experience working with large language models (LLMs)
Exceptional written and verbal communication skills, with ability to tailor messaging to technical and executive audiences
Strong facilitation and coordination skills across cross-functional teams
Experience producing technical documentation, presentations, A&A artifacts, and leadership briefings
Self-starter with strong analytical and problem-solving skills
Proficiency with collaboration and knowledge management platforms (Confluence, Hive)
Proficiency with MS Outlook, PowerPoint, Word, Excel, and SharePoint
Strong organizational skills managing multiple concurrent priorities in a fast-paced environment

Nice To Haves

Background in cloud computing (AWS preferred; Google Cloud beneficial)
Understanding of containerization and orchestration (Docker, Kubernetes)
Knowledge of DevOps/DevSecOps practices, including CI/CD and version control (Git)
Familiarity with enterprise data architectures, data analytics platforms, and ETL processes
Understanding of distributed computing frameworks and NoSQL databases (e.g., MongoDB, Cassandra)
Experience providing SETA support to software development efforts
Familiarity with intelligence analysis workflows and targeting tools
Experience coordinating multiple concurrent vendor contracts
Experience mentoring interns or junior staff
Certifications such as PMP, Scrum Master, or Agile Certified Practitioner (ACP)

Responsibilities

Establish scope, metrics, roadmaps, and deliverables for AI/ML and data analytics projects
Prioritize requirements with program teams using Agile methodologies
Identify risks and develop/monitor mitigations
Provide technical support and guidance to COTRs on contract performance and technical matters
Monitor and respond to action items, process access requests, and coordinate preparation of weekly highlights
Support division leadership by maintaining high-level awareness of all AI/ML projects across the division
Mentor junior staff and interns
Document workflows, processes, and requirements
Produce a wide range of documentation including senior leadership briefings, strategic plans, CONOPS, risk matrices, etc.
Maintain knowledge repositories (Confluence, Hive) and distribution lists
Coordinate and facilitate TEMs with government stakeholders, development teams, and vendors
Serve as liaison between division and department front office team
Coordinate vendor activities across multiple contracts, removing blockers and ensuring alignment
Facilitate demonstrations, training sessions, and outreach activities
Coordinate weekly division meetings with comprehensive action tracking and follow-up
Test and evaluate developing AI/ML platforms and capabilities to assess functionality and readiness
Analyze data and create user feedback mechanisms to inform development priorities and decision-making