This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Requirements Engineer Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.

In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.

This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.

Primary Responsibilities:

• Design and implement requirements management methodologies to enhance operational efficiency.
• Utilize digital engineering approaches, including Model-Based Systems Engineering (MBSE), to develop requirements models and use cases.
• Manage the requirements backlog to ensure alignment with program priorities and system roadmap objectives.
• Collaborate with test, security, and engineering teams to validate and codify requirements prior to development.
• Conduct systems engineering activities to specify, build, and maintain system engineering designs.
• Prepare and maintain a System Engineering Plan (SEP) addressing all engineering and technical requirements.
• Define, document, and maintain APIs and technical standards for system interoperability.
• Engineer and continuously improve the underlying infrastructure of the System.
• Identify and integrate government, commercial, and open-source tools into the System.
• Design and enhance user interface (UI) and user experience (UX) components of the platform.
• Ensure compliance with cybersecurity policies and maintain cybersecurity architecture for the system.
• Perform site reliability engineering to ensure system reliability and performance.
• Participate in the Engineering Control Board (ECB) process for major engineering milestones.
• Foster relationships with industry and academia to leverage advancements in data, analytics, and AI technologies.
• Provide mentorship and guidance to team members to enhance their professional development.

Basic Qualifications:

• Active Top Secret (TS) clearance with SCI eligibility.
• Bachelor’s degree in Engineering, Computer Science, Information Systems, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience.
• Proven experience with Model-Based Systems Engineering (MBSE) methodologies.
• Strong understanding of cybersecurity principles and practices.
• Experience managing a requirements backlog and collaborating with cross-functional teams.
• Excellent communication and leadership skills.
• Experience developing and managing requirements in DoD or Federal enterprise environments.
• Experience implementing requirements traceability using tools such as DOORS, JIRA, Confluence, or similar platforms.
• Experience supporting DoD Risk Management Framework (RMF) and mapping cybersecurity controls to system requirements.
• Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems.
• Demonstrated experience leading and mentoring engineering or requirements teams.

Preferred Qualifications:

• Active TS/SCI clearance.
• Familiarity with cloud environments and DevSecOps practices.
• Experience with AI/ML model development and deployment.
• Knowledge of open standards systems and their application in military environments.
• Strong analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• SAFe Agilist (SA), SAFe Practitioner, or related SAFe certification.
• Experience leading requirements efforts for multi-enclave enterprise systems.
• Experience integrating Zero Trust requirements into system baselines.

Experience supporting large-scale cloud, data, or AI-enabled platforms in secure environments.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.