About this role
We are seeking a Systems Engineer with Data Policy experiences to join our Fort Independence Team here at Leidos. Here you will leverage your System Engineering background to help data stewardship and data policy governance practices. The right candidate for this Systems Engineering role will have a passion for in data science, but grasp policy stewardship and governance-helping driving efficiencies with the 'what', why and 'where' with certified data repository {CDR} processes, supporting healthy attribute-level governance, and data management practices providing technical guidance on the responsible use of data and policies across the IC community.
As a critical thinker, you will help synthesize processes and work to implement innovative ways that strengthen compliance, optimize data quality, and leverage Artificial Intelligence (AI)/Machine Learning {ML} to deliver insights that improve governance effectiveness.
Key Responsibilities
• Translate governance policies into operational processes and technical solutions, providing clear guidance to stewards and stakeholders.
• Collaborate with Data Stewards, Steward Representatives and broader IC community to analyze and optimize data attributes, metadata, and repository certifications.
• Develop predictive models and statistical analyses to monitor compliance, data quality, and stewardship outcomes.
• Apply machine learning and AI techniques where appropriate to automate governance workflows {e.g., anomaly detection, classification, policy adherence}.
• Create and maintain metrics, dashboards, and reporting frameworks to track governance performance and compliance.
• Partner with cross-functional teams to ensure certified data assets meet accuracy, consistency, and accessibility standards.
• Recommend process improvements and technical solutions that enhance efficiency within governance and data stewardship.
Required Qualifications:
• Active TS/SCI with Polygraph.
• BS degree in STEM, or related field and 8+ years of experience. Additional experience in lieu of degree.
• Knowledge with Identity and Access Management {ldAM} / Identity Credentials & Access Management (ICAM) delivery systems, Authentication, Authorization, Attributes Architectures
• Familiarity with data governance principles, compliance, or metadata management.
• Strong critical thinking ability-able to balance technical solutions with policy and compliance needs.
• Excellent communication skills with the ability to convey technical insights to policy and Sponsor stakeholders.
Preferred Qualifications:
• Experience with governance and metadata platforms (Collibra, Informatica, Alation, etc.) helpful.
• Awareness Multi-Factor Authentication (MFA) policy, to contribute to the drafting and updating of security policies related to MFA.
• Hands-on experience in automation pipelines or AI-enabled data governance tools.
• Background working in policy, governance, or compliance-focused environments.
Key Attributes for Success
• Critical Thinker - Challenges assumptions and approaches data issues with structured reasoning.
• Policy-Minded Innovator - Finds ways to apply data science in service of governance, compliance, and stewardship.
• Collaborator - Builds strong partnerships with Data Stewards and governance stakeholders.
• Change Agent - Brings creativity and technical skill to drive efficiencies in how we manage and govern data.
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:
September 16, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00The 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.
Other facts
About Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health. The company's global workforce of 48,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023.
Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®.
Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos.
Your most important work is ahead, visit careers.leidos.com for our latest opportunities.
What you'll do
- The role involves translating governance policies into operational processes and collaborating with data stewards to optimize data attributes. Additionally, the engineer will develop predictive models to monitor compliance and enhance data quality.
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