Systems Engineering, Senior Advisor

Peraton

Chantilly (VA)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

Peraton is seeking an expert-level Systems Engineer to provide strategic program management and SETA support for AI/ML and data analytics initiatives in a mission-critical intelligence environment. You will interface with senior government stakeholders, coordinate cross-functional teams and vendors, and guide contract performance through acquisition processes.

The role requires leadership across multiple projects, mentoring junior staff, and generating high-level documentation and strategic

Qualifications

  • Active TS/SCI with poly clearance.

Responsibilities

  • Lead AI/ML and data analytics projects end-to-end.

Skills

Systems engineering
Project management
Agile
Stakeholder engagement
Leadership
Documentation
Knowledge management
Technical liaison
Communication
Mentorship

Education

BS/BA plus 12+ years experience
MS/MA plus 10+ years experience
PhD plus 7+ years experience

Tools

Confluence
Hive
MS Outlook
PowerPoint
Word
Excel
SharePoint
Git

Job description

Responsibilities

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.

Responsibilities may include but are not limited to:

Project Management and Technical Leadership
  • 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
Systems Engineering, Documentation, and Knowledge Management
  • 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
Stakeholder Engagement and Cross-Functional Coordination
  • 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
Technical Evaluation and Analysis
  • 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
Qualifications
Required Qualifications
Education and Clearance
  • 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
Leadership and Government Engagement
  • 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
Systems Engineering and Project Management
  • 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
AI/ML and Data Analytics
  • 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)
Communication and Coordination
  • 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
Tools and Technical Skills
  • 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
Desired Qualifications
Technical Knowledge
  • 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)
Mission and SETA Experience

Expe

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