Senior Systems Engineer

Analytic Services Inc•Arlington, VA

About The Position

ANSER is seeking a Senior Systems Engineer to serve as a technical authority and trusted advisor across enterprise data, governance, and digital transformation initiatives. In this role you will lead the design, modernization, and governance of complex information systems while bridging strategic program management with hands-on technical execution. You will support federal and corporate clients by driving data architecture, compliance, and AI-enabled solutions while mentoring technical teams and ensuring delivery excellence.

Requirements

Active DoD Secret Clearance
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline
Minimum of 15 years of progressive experience in systems engineering, enterprise architecture, or related fields supporting federal and/or corporate clients
PMP certification (active) with experience managing complex, multi-stakeholder programs
Agile Scrum certification (CSM, PSM, or SAFe) with hands-on Agile delivery experience
Experience in data modeling, reverse engineering legacy systems, and modernizing data architectures
Working knowledge of CMMC 2.0 and ISO 27001 standards, including audit or assessment support
SharePoint development experience (Online and/or on-premises), including Power Platform and governance implementation
Experience with AI prompt engineering, custom GPT development, and agentic workflows (e.g., OpenAI, Microsoft Copilot, or equivalent)

Nice To Haves

Experience with cloud data platforms (Azure, AWS, or GCP) and associated governance tools
Prior experience leading multi-year federal IT programs (DoD, DHS, or civilian agencies)
Familiarity with DoD CDAO AI strategy, Responsible AI principles, and AI lifecycle management
Active DoD Top Secret (TS/SCI) clearance

Responsibilities

Lead end-to-end data modeling across relational, NoSQL, and hybrid environments
Reverse engineer legacy systems to identify and implement modernization solutions
Design scalable data architectures, pipelines, and integration strategies
Develop current-state and future-state architectures using ERD, BPMN, and related methods
Lead project planning, scheduling, risk management, and stakeholder coordination using PMP best practices
Facilitate Agile ceremonies and serve as Scrum Master and/or Product Owner proxy
Develop and maintain project documentation including charters, WBS, and risk registers
Design and implement enterprise data governance frameworks, policies, and stewardship models
Establish data ownership, quality metrics, lineage tracking, and compliance reporting
Ensure compliance with legal, regulatory, and contractual data requirements
Operationalize AI data governance, including validation of sensitive data usage and audit support
Develop and enforce data rights strategies, including licensing and subcontractor flow-downs
Implement data rights–aware ML pipelines with provenance and usage tracking
Support CMMC 2.0 and ISO 27001 compliance, including audits and control implementation
Architect and develop SharePoint solutions, including workflows, UX, and governance policies
Mentor and provide technical guidance to junior and mid-level engineers