Saic
Job ID: 2600053
Location: BETHESDA, MD, United States
Date Posted: Jan 6, 2026
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS/SCI with Poly
Benefits: Click here
SAIC is seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
Data Protection and Governance
Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
Stakeholder Coordination
Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
Facilitate communication and understanding of data management priorities, challenges, and solutions.
AI and Emerging Technologies
Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
Strategic Recommendations
Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.
Qualifications
Active TS/SCI with Poly is required.
Bachelor’s degree with 8+ years of relevant experience, Associate’s degree with 10+ years of relevant experience, or Master’s degree with 6+ years of relevant experience.
Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
Understanding of vectorization in AI and its relationship to data usage and analytics.
Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
Familiarity with AI concepts and their implications for data usage and management.
Preferred Qualifications
Knowledge or experience with zero trust architecture principles.
Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is an Equal Opportunity Employer.
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SAIC is seeking an experienced and skilled AI Data Management Specialist to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) at one of our Intelligence customers. The ideal candidate will have a solid foundation in data management, including practical and strategic expertise across the data lifecycle, data protection, and stakeholder coordination. In this role, you will engage with technical and non-technical senior government data managers to develop, implement, and refine their data management strategies while ensuring alignment with best practices in data protection, privacy, and civil liberties.
Familiarity with AI concepts and vectorization as it relates to AI is required, and knowledge of zero trust principles and data architecture is highly desirable to enhance your contributions to this critical mission.
Primary Responsibilities
Provide expertise in practical and strategic aspects of the data lifecycle, including data collection, storage, usage, sharing, and archival/disposal.
Guide senior government stakeholders in the development and execution of comprehensive data management plans aligned with mission goals and compliance requirements.
Data Protection and Governance
Deliver practical and strategic guidance on data protection, addressing risks related to data spills, personal information security, and civil liberties.
Ensure compliance with data protection policies, laws, and standards, and promote best practices to safeguard sensitive information and preserve privacy.
Stakeholder Coordination
Act as a critical liaison, working directly with senior government data managers and technical teams to bridge technical and non-technical perspectives.
Facilitate communication and understanding of data management priorities, challenges, and solutions.
AI and Emerging Technologies
Apply a foundational understanding of AI to advise on data strategies that enable AI implementation and clear adoption paths.
Contribute to discussions and planning related to advanced concepts such as vectorization in AI and data-driven solutions.
Strategic Recommendations
Support senior leadership by identifying and addressing gaps in data infrastructure, strategy, and implementation.
Advise on policies and practices related to zero trust architecture, data architecture, and cross-organizational data-sharing initiatives.
Qualifications
Active TS/SCI with Poly is required.
Bachelor’s degree with 8+ years of relevant experience, Associate’s degree with 10+ years of relevant experience, or Master’s degree with 6+ years of relevant experience.
Solid background in data management, with a firm, practical, and strategic understanding of the data lifecycle and its application in government or enterprise environments.
Understanding of vectorization in AI and its relationship to data usage and analytics.
Strong expertise in data protection, especially regarding issues such as data spills, safeguarding personal information, and addressing civil liberties.
Ability to coordinate with senior technical and non-technical stakeholders, including government senior data managers, to align data management initiatives with organizational priorities.
Familiarity with AI concepts and their implications for data usage and management.
Preferred Qualifications
Knowledge or experience with zero trust architecture principles.
Expertise in data architecture design, principles, and governance, with the ability to speak confidently about its implications for strategy and implementation.
Experience working for or with Intelligence Community (IC) stakeholders or other government agencies.
Strong communication and interpersonal skills to convey complex technical concepts to diverse audiences.
Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is an Equal Opportunity Employer.
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